Codebook

The Panel of Public Administrators

Round 4

v-101 - 2024-06-19









Produced by ideas2evidence










Citation

Researchers responsible

Name Affiliation
Jacob Aars UiB
Tobias Bach UiO
Jarle Trondal UiA
Pål Martinussen NTNU
Tord Lindén NORCE
Marte Winsvold ISF
Troy Broderstad UiT
Zuzana Murdoch UiB
Benny Geys BI
Ole Andreas Danielsen Oslomet

Coordinating team

Name
Erla Løvseth
Sina Storelv
Vemund Vestre

Producers

Name Affiliation Role
Øivind Skjervheim ideas2evidence Coordinator
Olav Bjørnebekk ideas2evidence Project team member
Joachim Wettergreen ideas2evidence Project team member
Ola Grendal ideas2evidence Project team member
Georg Stokke ideas2evidence Project team member
Asle Høgestøl ideas2evidence Quality assurance

Study Description

Abstract

The Norwegian Panel of Public Administrators (NFP) is an internet-based survey of public administrators. The study deals with matters that are important to society, public administration and democracy. The panel is initiated and run by researchers from the leading reseach universities and institutions in Norway and is a non-profit project that aims to serve research goals. The Norwegian Panel of Public Administrators seeks to contribute in a dialogue between research, politics and socitey.

The Norwegian Panel of Public Administrators is part of the Digital Social Science Core Facility (DIGSSCORE) at the University of Bergen (UiB). The Norwegian Panel of Public Administrators is also affiliated with the Norwegian citizen Panel, the Norwegian Journalist Panel, and the Panel of Elected Representatives. The University of Bergen is the owner and treatment manager of the The Norwegian Panel of Public Administrators. Ideas2Evidence executes the practical implementation of the survey, and are responsible for recruting participants, as well as sending and receiving surveys to and from respondents. The data is stored encrypted and secure in UiB’s infrastructure for for safe processing of sensitive personal data in research, ‘SAFE’. The panel has been reported to and processed by the Data Protection Official for Research at Sikt - Norwegian Agency for Shared Services in Education and Research. More information can be found at uib.no/en/nfp.

Scope

Geographic coverage: National.
Unit of analysis: Central government employees.
Universe: All employees of the central government.

Methodology

Sampling procedure

All employees of the central government - ministries, directorates and supervisory authorities - are invited to participate in the Norwegian Panel of Public Administrators. Contact information has been collected through “Depkatalog” or the website of the individual directorate or supervisory authority, or contact lists delivered by the individual directorates or supervisory authorities.

As of this fourth wave of NFP, only employees of the central government have been recruited. The long term goal is to recruit public administrators from all levels of public administration.

Due to some over-coverage during the recruitment process, there are N = 37 respondents who have been excluded after the field period, as they did not belong to the defined target population, that is, not working in public administration in the central government (ministries, directorates, and supervisory authorities). We therefore recommend excluding these respondents when conducting analyses. This can be done using the variable f4_tvcpa. For more information on the exclusion process and exclusion criteria, please consult the documentation report.

Mode of Data Collection

The survey is based on an online questionnaire where the panel members are invited by email. Panel members were recuited to the panel in wave 1, 2 3, and 4.

For a more detailed description on recruitment of panel members, please see the documentation report.

Wave 4 was fielded from 13th of November 2023 to the 5th of December 2023.


Change Log

Version Release date / Date changed Variable Changes and notes
v-101 2024-06-19 NA Revised release of round 4
v-101 2024-06-07 NA Revised release of round 4
NA 2024-06-05 f4_tvcpa Variable documentation inserted
NA 2024-02-16 f4_piigix_1 Variable documentation updated
NA 2024-02-16 f4_piigix_2 Variable documentation updated
NA 2024-02-16 f4_piigix_3 Variable documentation updated
NA 2024-02-16 f4_piigix_4 Variable documentation updated
NA 2024-02-16 f4_piigix_5 Variable documentation updated
NA 2024-02-16 f4_piigix_ir_1 Variable documentation updated
NA 2024-02-16 f4_piigfx_1 Variable documentation updated
NA 2024-02-15 f4_palev Variable documentation updated
NA 2024-02-15 f4_wotmcx1_fageks1 Variable documentation updated
NA 2024-02-15 f4_wotmcx1_fageks2 Variable documentation updated
NA 2024-02-15 f4_wotmcx2_fageks1 Variable documentation updated
NA 2024-02-15 f4_wotmcx2_fageks2 Variable documentation updated
NA 2024-02-15 f4_pititx1_1 Variable documentation updated
NA 2024-02-15 f4_pititx1_2 Variable documentation updated
NA 2024-02-15 f4_pititx1_3 Variable documentation updated
NA 2024-02-15 f4_pititx1_4 Variable documentation updated
NA 2024-02-15 f4_pititx1_5 Variable documentation updated
NA 2024-02-15 f4_pititx2_6 Variable documentation updated
NA 2024-02-15 f4_pititx2_7 Variable documentation updated
NA 2024-02-15 f4_pititx2_8 Variable documentation updated
NA 2024-02-15 f4_pititx2_9 Variable documentation updated
NA 2024-02-15 f4_pititx2_10 Variable documentation updated
NA 2024-02-15 f4_paale2 Variable documentation updated
NA 2024-02-15 f4_paale2_999_other Variable documentation updated
NA 2024-02-15 f4_wotfe_1 Variable documentation updated
NA 2024-02-15 f4_wotfe_2 Variable documentation updated
NA 2024-02-15 f4_wotfe_3 Variable documentation updated
NA 2024-02-15 f4_wotfe_4 Variable documentation updated
NA 2024-02-15 f4_wotfe_5 Variable documentation updated
NA 2024-02-15 f4_wotfe_6 Variable documentation updated
NA 2024-02-15 f4_piigix_2 Variable documentation updated
NA 2024-02-15 f4_piigax_ir_1 Variable documentation updated
NA 2024-02-15 f4_wotmcx1_arberf1 Variable documentation updated
NA 2024-02-15 f4_wotmcx1_arberf2 Variable documentation updated
NA 2024-02-15 f4_wotmcx2_arberf1 Variable documentation updated
NA 2024-02-15 f4_wotmcx2_arberf2 Variable documentation updated
NA 2024-02-15 f4_mobil Variable documentation updated
v-100 2023-12-19 NA Initial release of round 4


Dataset contents

File name The Panel of Public Administrators - round 4 - v-101-L.sav
Distribution type Privileged
# Cases 2206
# Variables 128


Variable Documentation

responseid


Variable label: responseid
Technical attributes: [Question type: -] [Format:character] [Valid:2206] [Invalid:0] [Range:-]



f4_rekruttert


Variable label: The wave the respondent was recruited
Field period: 13.11.2023 - 05.12.2023
Technical description: The wave the respondent was recruited
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-4]

Value Label Cases Percentage
1 Wave 1 955 43.3% 0.4329102
2 Wave 2 267 12.1% 0.1210335
3 Wave 3 831 37.7% 0.3766999
4 Wave 4 153 6.9% 0.0693563


f4_interview_start


Variable label: [Date and time of when the respondent first opened the questionnaire. Excel-format.]
Field period: 13.11.2023 - 05.12.2023
Technical attributes: [Question type: -] [Format:character] [Valid:2206] [Invalid:0] [Range:-]



f4_interview_end


Variable label: [Date and time of when the respondent completed the questionnaire. Excel-format.]
Field period: 13.11.2023 - 05.12.2023
Technical attributes: [Question type: -] [Format:character] [Valid:1934] [Invalid:272] [Range:-]



f4_browsertype


Variable label: Browertype used by respondent
Field period: 13.11.2023 - 05.12.2023
Technical description: Browertype used by respondent
Technical attributes: [Question type:Open] [Format:character] [Valid:2206] [Invalid:0] [Range:-]



f4_browserversion


Variable label: Browser version used by respondent
Field period: 13.11.2023 - 05.12.2023
Technical description: Browser version used by respondent
Technical attributes: [Question type:Open] [Format:character] [Valid:2206] [Invalid:0] [Range:-]



f4_mobil


Variable label: Determines if the respondents uses mobile device
Field period: 13.11.2023 - 05.12.2023
Technical description: Determines if the respondents uses mobile device
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2206] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 mobile device 197 8.9% 0.0893019
0 other 2009 91.1% 0.9106981


f4_opplosning


Variable label: Screen resolution of the applied device
Field period: 13.11.2023 - 05.12.2023
Technical description: Screen resolution of the applied device
Technical attributes: [Question type:Open] [Format:character] [Valid:2206] [Invalid:0] [Range:-]



f4_enhetstype


Variable label: Determines respondents device type
Field period: 13.11.2023 - 05.12.2023
Technical description: Determines respondents device type
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 PC 2009 91.1% 0.9106981
2 Touch 197 8.9% 0.0893019
3 Generic 0 0.0% 0.0000000


f4_advancedwifeaturesenabled


Variable label: Determine whether the respondent’s browser supports Advanced WI Features that require client side scripts, such as sliders, drag-n-drop ranking, images instead of radio-buttons/check-boxes etc.
Field period: 13.11.2023 - 05.12.2023
Technical description: Determine whether the respondent’s browser supports Advanced WI Features that require client side scripts, such as sliders, drag-n-drop ranking, images instead of radio-buttons/check-boxes etc.
Technical attributes: [Question type:Open] [Format:character] [Valid:2206] [Invalid:0] [Range:-]



f4_getrenderingmode


Variable label: Detects the browsers rendering mode
Field period: 13.11.2023 - 05.12.2023
Technical description: Detects the browsers rendering mode
Technical attributes: [Question type:Open] [Format:character] [Valid:2206] [Invalid:0] [Range:-]



f4_paale


Variable label: Where do you work?
Literal question: Where do you work?
Field period: 13.11.2023 - 05.12.2023
Technical description: [Asked if the respondent was not registered with a value in f4_P6]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2206] [Invalid:0] [Range:2-2]

Value Label Cases Percentage
1 Ministry 0 0.0% 0
2 Directorate/supervisory authority/agency/other 5 100.0% 1
97 Not answered 0 0.0% 0
98 Not asked 2201 NA


f4_paale1


Variable label: Which ministry do you work in?
Literal question: Which ministry do you work for?
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if (f4_paale = 1) & the respondent was not registered with a value in f4_P6]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:2206] [Range:-]

Value Label Cases Percentage
101 Ministry of Labour and Social Inclusion 0 NaN
102 Ministry of Children and Families 0 NaN
117 Ministry of Digitalisation and Public Governance 0 NaN
103 Ministry of Finance 0 NaN
104 Ministry of Defence 0 NaN
105 Ministry of Health and Care Services 0 NaN
106 Ministry of Justice and Public Security 0 NaN
107 Ministry of Climate and Environment 0 NaN
108 Ministry of Local Government and Regional Development 0 NaN
109 Ministry of Culture and Equality 0 NaN
110 Ministry of Education and Research 0 NaN
111 Ministry of Agriculture and Food 0 NaN
112 Ministry of Trade, Industry and Fisheries 0 NaN
113 Ministry of Petroleum and Energy 0 NaN
114 The Ministry of Transport 0 NaN
115 Ministry of Foreign Affairs 0 NaN
116 Office of the Prime Minister 0 NaN
999 My employer is not on the list 0 NaN
Sysmiss 2206 NA


f4_paale1_999_other


Variable label: Open: Which ministry do you work in?: My employer is not on the list:
Pre-question text: Which ministry do you work for?
Literal question: My employer is not on the list:
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if (f4_paale = 1) & the respondent was not registered with a value in f4_P6]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Single - Other] [Format:character] [Valid:0] [Invalid:2206] [Range:-]



f4_paale2


Variable label: What business do you work in?
Literal question: Which organisation do you work for?
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if (f4_paale = 2) & the respondent was not registered with a value in f4_P6]

[Data withheld due to privacy considerations.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:0] [Invalid:2206] [Range:-]

Value Label Cases Percentage
1 The Norwegian Labour and Welfare Administration 0 NaN
2 The Norwegian Labour Inspection Authority 0 NaN
3 Maritime Pension Fund (Pension Insurance for Seamen) 0 NaN
4 The Petroleum Safety Authority Norway 0 NaN
5 The Norwegian Directorate for Children, Youth and Family Affairs 0 NaN
6 The Ombudsman for Children 0 NaN
7 The Consumer Authority 0 NaN
8 The Norwegian Agency for Public and Financial Management 0 NaN
9 The Financial Supervisory Authority 0 NaN
10 The Norwegian Tax Administration 0 NaN
11 Statistics Norway 0 NaN
12 Norwegian Customs 0 NaN
13 The Norwegian Directorate of eHealth 0 NaN
14 The Norwegian Radiation and Nuclear Safety Authority 0 NaN
15 The Norwegian Institute of Public Health 0 NaN
16 The Norwegian Directorate of Health 0 NaN
17 The Norwegian System of Patient Injury Compensation 0 NaN
18 The Norwegian Board of Health Supervision 0 NaN
19 The Norwegian Medicines Agency 0 NaN
20 Norwegian Directorate for Civil Protection (DSB) 0 NaN
21 The Directorate of Norwegian Correctional Service 0 NaN
22 The Norwegian National Security Authority 0 NaN
23 The National Police Directorate 0 NaN
24 The Norwegian Civil Security Clearance Authority 0 NaN
25 The Norwegian Civil Affairs Authority 0 NaN
26 The Norwegian Directorate of Immigration 0 NaN
27 The Norwegian Environment Agency 0 NaN
28 The Norwegian Polar Institute 0 NaN
29 The Directorate for Cultural Heritage 0 NaN
30 The Norwegian Data Protection Authority 0 NaN
31 The Norwegian Digitalisation Agency 0 NaN
32 The Norwegian Building Authority 0 NaN
33 The Norwegian State Housing Bank 0 NaN
34 The Norwegian Communications Authority 0 NaN
35 The Norwegian Mapping Authority 0 NaN
36 The Norwegian Directorate of Elections 0 NaN
37 The National Archives Services of Norway 0 NaN
38 Kulturtanken - Arts for Young Audiences Norway 0 NaN
39 KORO 0 NaN
40 The Norwegian Gaming and Foundation Authority 0 NaN
41 The Norwegian Media Authority 0 NaN
42 The Norwegian Film Institute 0 NaN
43 Arts and Culture Norway 0 NaN
44 The Directorate of Integration and Diversity 0 NaN
45 Norwegian Directorate for Higher Education and Skills 0 NaN
46 The Norwegian State Educational Loan Fund 0 NaN
47 The Norwegian Agency for Quality Assurance in Education 0 NaN
48 The Norwegian Directorate for Education and Training 0 NaN
49 The Norwegian Agriculture Agency 0 NaN
50 The Norwegian Food Safety Authority 0 NaN
51 The Brønnøysund Register Centre 0 NaN
52 The Norwegian Grocery Authority 0 NaN
53 The Directorate of Mining with the Commissioner of Mines at Svalbard 0 NaN
54 The Directorate of Fisheries 0 NaN
55 The Norwegian Metrology Service 0 NaN
56 The Norwegian Competition Authority 0 NaN
57 Norwegian Accreditation 0 NaN
58 Norwegian Nuclear Decommissioning 0 NaN
59 The Norwegian Industrial Property Office 0 NaN
60 The Norwegian Maritime Authority 0 NaN
61 The Norwegian Water Resources and Energy Directorate 0 NaN
62 The Norwegian Petroleum Directorate 0 NaN
63 The Norwegian Railway Directorate 0 NaN
64 The Norwegian Coastal Administration 0 NaN
65 Civil Aviation Authority Norway 0 NaN
66 The Norwegian Safety Investigation Authority 0 NaN
67 The Norwegian Railway Authority 0 NaN
68 Norwegian Public Roads Administration 0 NaN
69 The Road Supervisory Authority 0 NaN
70 The Norwegian Agency for Development Cooperation 0 NaN
999 My employer is not on the list 0 NaN
Sysmiss 2206 NA


f4_paale2_999_other


Variable label: Open: What business do you work in?: My employer is not on the list:
Pre-question text: Which organisation do you work for?
Literal question: My employer is not on the list:
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if (f4_paale = 2) & the respondent was not registered with a value in f4_P6]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Single - Other] [Format:character] [Valid:0] [Invalid:2206] [Range:-]



f4_patas


Variable label: Within which of the following tasks does the majority of your work fall?
Literal question: Within which of the following tasks does the majority of your work fall?
Post-question: Choose the option you spend most of your time on.
Field period: 13.11.2023 - 05.12.2023
Technical description: [Asked if (rekruttert = 4)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-13]

Value Label Cases Percentage
1 Investigation, analysis 46 30.1% 0.300653595
2 Business management/agency management 5 3.3% 0.032679739
3 Budgeting 1 0.7% 0.006535948
4 Advisory to political or administrative management 1 0.7% 0.006535948
5 Preparation/modification/implementation of laws and regulations etc. 0 0.0% 0.000000000
6 Leadership 12 7.8% 0.078431373
7 Coordination 11 7.2% 0.071895425
8 Case management/individual decisions (cases concerning specific persons, companies, institutions, etc.) 31 20.3% 0.202614379
9 Control/supervision/follow-up of public measures 10 6.5% 0.065359477
10 Information and communication work 5 3.3% 0.032679739
11 User inquiries/client services 2 1.3% 0.013071895
12 Administrative tasks (e.g. payroll and human resources management, IT/ICT, operations and maintenance) 14 9.2% 0.091503268
13 Other: 15 9.8% 0.098039216
97 Not answered 0 0.0% 0.000000000
98 Not asked 2053 NA


f4_patas_13_other


Variable label: Open: Within which of the following tasks does the majority of your work fall?:
Pre-question text: Within which of the following tasks does the majority of your work fall?
Literal question: Other:
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if (rekruttert = 4)]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Single - Other] [Format:character] [Valid:0] [Invalid:2206] [Range:-]



f4_palev


Variable label: What is your current position level?
Literal question: What is your current position level?
Field period: 13.11.2023 - 05.12.2023
Technical description: [Asked if (rekruttert = 4)]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Consultant/first consultant/senior consultant, or equivalent level 6 3.9% 0.03921569
2 Adviser/senior adviser or equivalent level 119 77.8% 0.77777778
3 Director/special adviser or equivalent level 9 5.9% 0.05882353
4 Associate director, or equivalent level 4 2.6% 0.02614379
5 Deputy Director or equivalent level 7 4.6% 0.04575163
6 Director General or equivalent level and above 2 1.3% 0.01307190
7 Other: 6 3.9% 0.03921569
97 Not answered 0 0.0% 0.00000000
98 Not asked 2053 NA


f4_palev_7_other


Variable label: Open: What is your current position level?
Pre-question text: What is your current position level?
Literal question: Other:
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if (rekruttert = 4)]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Single - Other] [Format:character] [Valid:0] [Invalid:2206] [Range:-]



f4_pacon_1


Variable label: How much weight do you place on each of the following considerations when performing your duties?: Signals from political leadership (government, ministers, state secretaries, political advisors)
Pre-question text: How much weight do you place on each of the following considerations when performing your duties?
Literal question: Signals from political leadership (government, ministers, state secretaries, political advisors)
Field period: 13.11.2023 - 05.12.2023
Technical description: [All respondents asked]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very large amount 732 33.2% 0.331822303
2 A large amount 853 38.7% 0.386672711
3 Neither a small nor a large amount 371 16.8% 0.168177697
4 A small amount 133 6.0% 0.060290118
5 Very little 100 4.5% 0.045330916
97 Not answered 17 0.8% 0.007706256


f4_pacon_2


Variable label: How much weight do you place on each of the following considerations when performing your duties?: Professional considerations
Pre-question text: How much weight do you place on each of the following considerations when performing your duties?
Literal question: Professional considerations
Field period: 13.11.2023 - 05.12.2023
Technical description: [All respondents asked]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very large amount 1400 63.5% 0.634632820
2 A large amount 750 34.0% 0.339981868
3 Neither a small nor a large amount 27 1.2% 0.012239347
4 A small amount 5 0.2% 0.002266546
5 Very little 6 0.3% 0.002719855
97 Not answered 18 0.8% 0.008159565


f4_pacon_3


Variable label: How much weight do you place on each of the following considerations when performing your duties?: Signals from user groups, clients, members of society who are particularly affected
Pre-question text: How much weight do you place on each of the following considerations when performing your duties?
Literal question: Signals from user groups, clients, members of society who are particularly affected
Field period: 13.11.2023 - 05.12.2023
Technical description: [All respondents asked]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very large amount 353 16.0% 0.16001813
2 A large amount 1205 54.6% 0.54623753
3 Neither a small nor a large amount 490 22.2% 0.22212149
4 A small amount 105 4.8% 0.04759746
5 Very little 23 1.0% 0.01042611
97 Not answered 30 1.4% 0.01359927


f4_pacon_4


Variable label: How much weight do you place on each of the following considerations when performing your duties?: Signals from local/regional authorities
Pre-question text: How much weight do you place on each of the following considerations when performing your duties?
Literal question: Signals from local/regional authorities
Field period: 13.11.2023 - 05.12.2023
Technical description: [All respondents asked]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very large amount 100 4.5% 0.04533092
2 A large amount 660 29.9% 0.29918404
3 Neither a small nor a large amount 867 39.3% 0.39301904
4 A small amount 327 14.8% 0.14823209
5 Very little 207 9.4% 0.09383500
97 Not answered 45 2.0% 0.02039891


f4_pacon_5


Variable label: How much weight do you place on each of the following considerations when performing your duties?: Signals from EU institutions
Pre-question text: How much weight do you place on each of the following considerations when performing your duties?
Literal question: Signals from EU institutions
Field period: 13.11.2023 - 05.12.2023
Technical description: [All respondents asked]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 A very large amount 163 7.4% 0.07388939
2 A large amount 589 26.7% 0.26699909
3 Neither a small nor a large amount 821 37.2% 0.37216682
4 A small amount 347 15.7% 0.15729828
5 Very little 251 11.4% 0.11378060
97 Not answered 35 1.6% 0.01586582


f4_pacha_1


Variable label: Agree/disagree: It feels like there is constant change in my workplace.
Pre-question text: To what extent do you agree or disagree with the following statement:
Literal question: It feels like there is constant change at my workplace.
Field period: 13.11.2023 - 05.12.2023
Technical description: [All respondents asked]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 494 22.4% 0.223934723
2 Agree 651 29.5% 0.295104261
3 Agree somewhat 568 25.7% 0.257479601
4 Neither agree nor disagree 184 8.3% 0.083408885
5 Disagree somewhat 151 6.8% 0.068449683
6 Disagree 123 5.6% 0.055757026
7 Strongly disagree 26 1.2% 0.011786038
97 Not answered 9 0.4% 0.004079782


f4_pacha_2


Variable label: Agree/disagree: It is difficult to know when the changes in my workplace start or end.
Pre-question text: To what extent do you agree or disagree with the following statement:
Literal question: It is difficult to know when the changes at my workplace start or end.
Field period: 13.11.2023 - 05.12.2023
Technical description: [All respondents asked]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 396 18.0% 0.179510426
2 Agree 513 23.3% 0.232547597
3 Agree somewhat 439 19.9% 0.199002720
4 Neither agree nor disagree 318 14.4% 0.144152312
5 Disagree somewhat 209 9.5% 0.094741614
6 Disagree 254 11.5% 0.115140526
7 Strongly disagree 64 2.9% 0.029011786
97 Not answered 13 0.6% 0.005893019


f4_pacha_3


Variable label: Agree/disagree: Changes at my workplace happen so often that it affects my work.
Pre-question text: To what extent do you agree or disagree with the following statement:
Literal question: Changes at my workplace happen so often that they affect my work.
Field period: 13.11.2023 - 05.12.2023
Technical description: [All respondents asked]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 201 9.1% 0.09111514
2 Agree 231 10.5% 0.10471442
3 Agree somewhat 399 18.1% 0.18087035
4 Neither agree nor disagree 341 15.5% 0.15457842
5 Disagree somewhat 271 12.3% 0.12284678
6 Disagree 545 24.7% 0.24705349
7 Strongly disagree 206 9.3% 0.09338169
97 Not answered 12 0.5% 0.00543971


f4_wotfe_1


Variable label: Agree/disagree: My immediate administrative manager: wants employees to work on several tasks at the same time.
Pre-question text:

We are interested in your view of what it is like to work in [your organisation/your ministry], and what expectations your immediate administrative manager has of you when you are at work.

To what extent do you agree or disagree with the following statements? My immediate administrative manager…
Literal question: wants employees to work on multiple tasks at the same time.
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if the respondent was registered with a value in f4_P6]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 446 20.2% 0.202175884
2 Agree 984 44.6% 0.446056210
3 Agree somewhat 374 17.0% 0.169537625
4 Neither agree nor disagree 260 11.8% 0.117860381
5 Disagree somewhat 52 2.4% 0.023572076
6 Disagree 22 1.0% 0.009972801
7 Strongly disagree 5 0.2% 0.002266546
97 Not answered 63 2.9% 0.028558477
98 Not asked 0 NA


f4_wotfe_2


Variable label: Agree/disagree: think it is best if employees complete one task before starting something new.
Pre-question text:

We are interested in your view of what it is like to work in [your organisation/your ministry], and what expectations your immediate administrative manager has of you when you are at work.

To what extent do you agree or disagree with the following statements? My immediate administrative manager…
Literal question: thinks it is best if employees complete one task before starting something new.
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if the respondent was registered with a value in f4_P6]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 16 0.7% 0.007252947
2 Agree 98 4.4% 0.044424297
3 Agree somewhat 164 7.4% 0.074342702
4 Neither agree nor disagree 591 26.8% 0.267905712
5 Disagree somewhat 441 20.0% 0.199909338
6 Disagree 664 30.1% 0.300997280
7 Strongly disagree 168 7.6% 0.076155938
97 Not answered 64 2.9% 0.029011786
98 Not asked 0 NA


f4_wotfe_3


Variable label: Agree/disagree: prefer employees to give full attention to one task at a time, rather than dividing their attention between different projects.
Pre-question text:

We are interested in your view of what it is like to work in [your organisation/your ministry], and what expectations your immediate administrative manager has of you when you are at work.

To what extent do you agree or disagree with the following statements? My immediate administrative manager…
Literal question: prefers that employees give their full attention to one task at a time, rather than dividing their attention across different projects.
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if the respondent was registered with a value in f4_P6]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 14 0.6% 0.006346328
2 Agree 54 2.4% 0.024478694
3 Agree somewhat 172 7.8% 0.077969175
4 Neither agree nor disagree 497 22.5% 0.225294651
5 Disagree somewhat 533 24.2% 0.241613781
6 Disagree 687 31.1% 0.311423391
7 Strongly disagree 187 8.5% 0.084768812
97 Not answered 62 2.8% 0.028105168
98 Not asked 0 NA


f4_wotfe_4


Variable label: Agree/disagree: concentrates on what is happening and needs to be done today.
Pre-question text:

We are interested in your view of what it is like to work in [your organisation/your ministry], and what expectations your immediate administrative manager has of you when you are at work.

To what extent do you agree or disagree with the following statements? My immediate administrative manager…
Literal question: concentrates on what is happening and needs to be done today.
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if the respondent was registered with a value in f4_P6]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 166 7.5% 0.07524932
2 Agree 593 26.9% 0.26881233
3 Agree somewhat 547 24.8% 0.24796011
4 Neither agree nor disagree 406 18.4% 0.18404352
5 Disagree somewhat 241 10.9% 0.10924751
6 Disagree 157 7.1% 0.07116954
7 Strongly disagree 33 1.5% 0.01495920
97 Not answered 63 2.9% 0.02855848
98 Not asked 0 NA


f4_wotfe_5


Variable label: Agree/disagree: looking ahead and planning for opportunities and problems that the future will bring.
Pre-question text:

We are interested in your view of what it is like to work in [your organisation/your ministry], and what expectations your immediate administrative manager has of you when you are at work.

To what extent do you agree or disagree with the following statements? My immediate administrative manager…
Literal question: looks ahead and plans for opportunities and problems that the future will bring.
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if the respondent was registered with a value in f4_P6]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 209 9.5% 0.09474161
2 Agree 808 36.6% 0.36627380
3 Agree somewhat 550 24.9% 0.24932004
4 Neither agree nor disagree 213 9.7% 0.09655485
5 Disagree somewhat 181 8.2% 0.08204896
6 Disagree 129 5.8% 0.05847688
7 Strongly disagree 52 2.4% 0.02357208
97 Not answered 64 2.9% 0.02901179
98 Not asked 0 NA


f4_wotfe_6


Variable label: Agree/disagree: focus on tasks and problems here and now, rather than possible future questions and events.
Pre-question text:

We are interested in your view of what it is like to work in [your organisation/your ministry], and what expectations your immediate administrative manager has of you when you are at work.

To what extent do you agree or disagree with the following statements? My immediate administrative manager…
Literal question: focuses on tasks and problems that are here and now, rather than possible future questions and events.
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if the respondent was registered with a value in f4_P6]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 119 5.4% 0.05394379
2 Agree 375 17.0% 0.16999093
3 Agree somewhat 480 21.8% 0.21758840
4 Neither agree nor disagree 439 19.9% 0.19900272
5 Disagree somewhat 437 19.8% 0.19809610
6 Disagree 260 11.8% 0.11786038
7 Strongly disagree 33 1.5% 0.01495920
97 Not answered 63 2.9% 0.02855848
98 Not asked 0 NA


f4_wotpe


Variable label: Which statement do you think fits best with expectations about how you perform your work tasks? My immediate administrative manager prefers that
Literal question: Which statement do you think fits best with expectations about how you perform your work duties? My immediate administrative manager prefers that…
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if the respondent was registered with a value in f4_P6]

[Answer list display order: Randomized]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 employees begin a task immediately and finish work well before the deadline. 313 14.2% 0.14188577
2 employees work steadily on a task in the time available. 1537 69.7% 0.69673617
3 employees do most of the work on a task in a relatively short period of time leading up to the deadline. 254 11.5% 0.11514053
97 Not answered 102 4.6% 0.04623753
98 Not asked 0 NA


f4_wotpes_1


Variable label: Most/least important: Internal guidelines or work manual provided by my organization
Pre-question text:

The two previous questions were about your view of the expectations your immediate administrative manager has of you when you are at work.

What are your assessments based on?
Literal question: Internal guidelines or work manual provided by my organisation
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if (f4_wotfe is answered | f4_wotpe is answered) & the respondent was registered with a value in f4_P6]

[Answer list display order: Randomize]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - most important 124 5.8% 0.05772812
2 2 239 11.1% 0.11126629
3 3 340 15.8% 0.15828678
4 4 227 10.6% 0.10567970
5 5 - least important 602 28.0% 0.28026071
97 Not answered 616 28.7% 0.28677840
98 Not asked 58 NA


f4_wotpes_2


Variable label: Most/least important: Instructions and guidance from my direct supervisor
Pre-question text:

The two previous questions were about your view of the expectations your immediate administrative manager has of you when you are at work.

What are your assessments based on?
Literal question: Instructions and guidance from my direct superior
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if (f4_wotfe is answered | f4_wotpe is answered) & the respondent was registered with a value in f4_P6]

[Answer list display order: Randomize]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - most important 392 18.2% 0.18249534
2 2 735 34.2% 0.34217877
3 3 332 15.5% 0.15456238
4 4 145 6.8% 0.06750466
5 5 - least important 63 2.9% 0.02932961
97 Not answered 481 22.4% 0.22392924
98 Not asked 58 NA


f4_wotpes_3


Variable label: Most/least important: Instructions and guidance from my colleagues
Pre-question text:

The two previous questions were about your view of the expectations your immediate administrative manager has of you when you are at work.

What are your assessments based on?
Literal question: Instructions and guidance from my colleagues
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if (f4_wotfe is answered | f4_wotpe is answered) & the respondent was registered with a value in f4_P6]

[Answer list display order: Randomize]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - most important 22 1.0% 0.01024209
2 2 115 5.4% 0.05353818
3 3 341 15.9% 0.15875233
4 4 686 31.9% 0.31936685
5 5 - least important 335 15.6% 0.15595903
97 Not answered 649 30.2% 0.30214153
98 Not asked 58 NA


f4_wotpes_4


Variable label: Most/least important: What I have observed my colleagues do
Pre-question text:

The two previous questions were about your view of the expectations your immediate administrative manager has of you when you are at work.

What are your assessments based on?
Literal question: Observations of what my colleagues do
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if (f4_wotfe is answered | f4_wotpe is answered) & the respondent was registered with a value in f4_P6]

[Answer list display order: Randomize]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - most important 43 2.0% 0.02001862
2 2 346 16.1% 0.16108007
3 3 367 17.1% 0.17085661
4 4 359 16.7% 0.16713222
5 5 - least important 455 21.2% 0.21182495
97 Not answered 578 26.9% 0.26908752
98 Not asked 58 NA


f4_wotpes_5


Variable label: Most/least important: My own experience working here
Pre-question text:

The two previous questions were about your view of the expectations your immediate administrative manager has of you when you are at work.

What are your assessments based on?
Literal question: My own experience of working here
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if (f4_wotfe is answered | f4_wotpe is answered) & the respondent was registered with a value in f4_P6]

[Answer list display order: Randomize]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - most important 1518 70.7% 0.70670391
2 2 278 12.9% 0.12942272
3 3 169 7.9% 0.07867784
4 4 69 3.2% 0.03212291
5 5 - least important 24 1.1% 0.01117318
97 Not answered 90 4.2% 0.04189944
98 Not asked 58 NA


f4_piigix_ran


Variable label: Experiment. Sets a random variant of the question in [f4_piigix].
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Randomized for all respondents]

[If [f4_piigix_ran] = 1, respondents are shown a tooltip after the text in each answer option. The tooltip contains further information, and examples of the different interest groups. If [f4_piigix_ran] = 2, no tooltip is shown.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2128] [Invalid:78] [Range:1-2]

Value Label Cases Percentage
1 The respondent gets an infobox associated with each alternative answer 1032 48.5% 0.4849624
2 The respondent does not get an infobox 1096 51.5% 0.5150376
Sysmiss 78 NA


f4_piigix_1


Variable label: Most/least important: interest organizations for policy-making in your sector: Trade unions
Pre-question text: Interest groups are organisations whose task is to promote the preferences of their members so that they are taken into account in policymaking. These organisations represent different types of interests. We would like you to indicate how important the following interest groups are to your area of work by ranking them from most important to least important:
Literal question: Trade unions
Field period: 13.11.2023 - 05.12.2023
Technical description:

[All respondents asked]

[Answer list display order: Randomize]

[If [f4_piigix_ran] = 1 the following text was shown in a tooltip: “For instance the Union of Education Norway, the Norwegian Association of Researchers, or the Norwegian Association of Lecturers”. If [f4_piigix_ran] = 2 no tooltip was shown. Asked on the same page as [f4_piigix_ir_1]. If respondent selected an option from [f4_piigix_ir_1] this could not be selected, and vice-versa.]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - most important 250 11.3% 0.11332729
2 2 225 10.2% 0.10199456
3 3 211 9.6% 0.09564823
4 4 238 10.8% 0.10788758
5 5 - least important 112 5.1% 0.05077063
97 Not answered 1170 53.0% 0.53037171


f4_piigix_2


Variable label: Most/least important: interest organizations for policy-making in your sector: Business organisations
Pre-question text: Interest groups are organisations whose task is to promote the preferences of their members so that they are taken into account in policymaking. These organisations represent different types of interests. We would like you to indicate how important the following interest groups are to your area of work by ranking them from most important to least important:
Literal question: Business organisations
Field period: 13.11.2023 - 05.12.2023
Technical description:

[All respondents asked]

[Answer list display order: Randomize]

[If [f4_piigix_ran] = 1 the following text was shown in a tooltip: “For instance the Confederation of Norwegian Enterprise or their affiliated trade associations.”. If [f4_piigix_ran] = 2 no tooltip was shown. Asked on the same page as [f4_piigix_ir_1]. If respondent selected an option from [f4_piigix_ir_1] this could not be selected, and vice-versa.]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - most important 318 14.4% 0.14415231
2 2 256 11.6% 0.11604714
3 3 194 8.8% 0.08794198
4 4 200 9.1% 0.09066183
5 5 - least important 93 4.2% 0.04215775
97 Not answered 1145 51.9% 0.51903898


f4_piigix_3


Variable label: Most/least important: interest organizations for policy making in your sector: Private providers of welfare services
Pre-question text: Interest groups are organisations whose task is to promote the preferences of their members so that they are taken into account in policymaking. These organisations represent different types of interests. We would like you to indicate how important the following interest groups are to your area of work by ranking them from most important to least important:
Literal question: Private providers of welfare services
Field period: 13.11.2023 - 05.12.2023
Technical description:

[All respondents asked]

[Answer list display order: Randomize]

[If [f4_piigix_ran] = 1 the following text was shown in a tooltip: “Both commercial and non-profit, for instance Virke (Rehab) in the healthcare sector.”. If [f4_piigix_ran] = 2 no tooltip was shown. Asked on the same page as [f4_piigix_ir_1]. If respondent selected an option from [f4_piigix_ir_1] this could not be selected, and vice-versa.]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - most important 30 1.4% 0.01359927
2 2 28 1.3% 0.01269266
3 3 87 3.9% 0.03943790
4 4 168 7.6% 0.07615594
5 5 - least important 606 27.5% 0.27470535
97 Not answered 1287 58.3% 0.58340888


f4_piigix_4


Variable label: Most/least important: interest organizations for policy-making in your sector: User organisations
Pre-question text: Interest groups are organisations whose task is to promote the preferences of their members so that they are taken into account in policymaking. These organisations represent different types of interests. We would like you to indicate how important the following interest groups are to your area of work by ranking them from most important to least important:
Literal question: User organisations
Field period: 13.11.2023 - 05.12.2023
Technical description:

[All respondents asked]

[Answer list display order: Randomize]

[If [f4_piigix_ran] = 1 the following text was shown in a tooltip: “For instance the National Union of Students in Norway in the education sector, or the Norwegian Cancer Society in the healthcare sector.”. If [f4_piigix_ran] = 2 no tooltip was shown. Asked on the same page as [f4_piigix_ir_1]. If respondent selected an option from [f4_piigix_ir_1] this could not be selected, and vice-versa.]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - most important 351 15.9% 0.159111514
2 2 340 15.4% 0.154125113
3 3 236 10.7% 0.106980961
4 4 106 4.8% 0.048050771
5 5 - least important 20 0.9% 0.009066183
97 Not answered 1153 52.3% 0.522665458


f4_piigix_5


Variable label: Most/least important: interest organizations for policy making in your sector: Municipal sector
Pre-question text: Interest groups are organisations whose task is to promote the preferences of their members so that they are taken into account in policymaking. These organisations represent different types of interests. We would like you to indicate how important the following interest groups are to your area of work by ranking them from most important to least important:
Literal question: The municipal sector
Field period: 13.11.2023 - 05.12.2023
Technical description:

[All respondents asked]

[Answer list display order: Randomize]

[If [f4_piigix_ran] = 1 the following text was shown in a tooltip: “For instance the Norwegian Assoication of Local and Regional Authorities.”. If [f4_piigix_ran] = 2 no tooltip was shown. Asked on the same page as [f4_piigix_ir_1]. If respondent selected an option from [f4_piigix_ir_1] this could not be selected, and vice-versa.]
Technical attributes: [Question type:Ranking] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1 - most important 237 10.7% 0.10743427
2 2 224 10.2% 0.10154125
3 3 249 11.3% 0.11287398
4 4 213 9.7% 0.09655485
5 5 - least important 81 3.7% 0.03671804
97 Not answered 1202 54.5% 0.54487761


f4_piigix_ir_1


Variable label: Most/least important: Interest organizations are not relevant to the work in my unit
Pre-question text: Interest groups are organisations whose task is to promote the preferences of their members so that they are taken into account in policymaking. These organisations represent different types of interests. We would like you to indicate how important the following interest groups are to your area of work by ranking them from most important to least important:
Literal question: Interest groups are of little relevance to the work of my unit
Field period: 13.11.2023 - 05.12.2023
Technical description:

[All respondents asked]

[Asked on the same page as [f4_piigix_1] - [f4_piigix_5]. If respondent selected an option from [f4_piigix_1] - [f4_piigix_5], this could not be selected, and vice-versa.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2206] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 895 40.6% 0.40571170
0 Not selected 1210 54.9% 0.54850408
97 Not answered 101 4.6% 0.04578422


f4_piigfx_pipe


Variable label: Experiment. Sets an element for text piping in [f4_piigfx] based on the answer from [f4_piigix].
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Set if (f4_piigix is answered)]

[Element chosen based on top-ranked answer given in [f4_piigix].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1186] [Invalid:1020] [Range:1-5]

Value Label Cases Percentage
1 Trade unions 250 21.1% 0.21079258
2 Trade and industry organisations 318 26.8% 0.26812816
3 Private providers of welfare services 30 2.5% 0.02529511
4 User organisations 351 29.6% 0.29595278
5 Municipal sector 237 20.0% 0.19983137
Sysmiss 1020 NA


f4_piigfx_1


Variable label: How important do you think the following factors are to include [f4_piigfx_pipe] in policy making: They have significant expertise in this policy area
Pre-question text: [f4_piigfx_pipe] may be relevant to policymaking in various ways. How important do you think the following factors are regarding their inclusion:
Literal question: They have considerable expertise in this policy area
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if (f4_piigix is answered)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 258 21.8% 0.21753794
2 Important 520 43.8% 0.43844857
3 Somewhat important 284 23.9% 0.23946037
4 Not very important 74 6.2% 0.06239460
5 Not important at all 22 1.9% 0.01854975
97 Not answered 28 2.4% 0.02360877
98 Not asked 1020 NA


f4_piigfx_2


Variable label: How important do you think the following factors are to include [f4_piigfx_pipe] in policy making: It reduces the level of conflict in policy making
Pre-question text: [f4_piigfx_pipe] may be relevant to policymaking in various ways. How important do you think the following factors are regarding their inclusion:
Literal question: It reduces the level of conflict in policymaking
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if (f4_piigix is answered)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 187 15.8% 0.15767285
2 Important 452 38.1% 0.38111298
3 Somewhat important 324 27.3% 0.27318718
4 Not very important 150 12.6% 0.12647555
5 Not important at all 44 3.7% 0.03709949
97 Not answered 29 2.4% 0.02445194
98 Not asked 1020 NA


f4_piigfx_3


Variable label: How important do you think the following factors are to include [f4_piigfx_pipe] in policy making: Their participation will facilitate implementation (of policy proposals/decisions)
Pre-question text: [f4_piigfx_pipe] may be relevant to policymaking in various ways. How important do you think the following factors are regarding their inclusion:
Literal question: Their participation will facilitate implementation (of political proposals/decisions)
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if (f4_piigix is answered)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 296 25.0% 0.24957841
2 Important 543 45.8% 0.45784148
3 Somewhat important 247 20.8% 0.20826307
4 Not very important 56 4.7% 0.04721754
5 Not important at all 17 1.4% 0.01433390
97 Not answered 27 2.3% 0.02276560
98 Not asked 1020 NA


f4_piigfx_4


Variable label: How important do you think the following factors are to include [f4_piigfx_pipe] in policy making: They represent a group with crucial interests in this policy area
Pre-question text: [f4_piigfx_pipe] may be relevant to policymaking in various ways. How important do you think the following factors are regarding their inclusion:
Literal question: They represent a group with vital interests in this area of politics
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if (f4_piigix is answered)]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Very important 372 31.4% 0.313659359
2 Important 581 49.0% 0.489881956
3 Somewhat important 165 13.9% 0.139123103
4 Not very important 33 2.8% 0.027824621
5 Not important at all 9 0.8% 0.007588533
97 Not answered 26 2.2% 0.021922428
98 Not asked 1020 NA


f4_piigax_ran


Variable label: Experiment. Sets a random element for text piping in [f4_piigax].
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Randomized for all respondents]

[If [f4_piigax_ran] = 1 the first element is selected. If [f4_piigax_ran] = 2 the second element is selected. If [f4_piigax_ran] = 3 the third element is selected. If [f4_piigax_ran] = 4 the fourth element is selected.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2092] [Invalid:114] [Range:1-4]

Value Label Cases Percentage
1 a proposal concerning the amendment of the fundamental principles of this policy area 526 25.1% 0.2514340
2 a proposal regarding a minor adjustment in this policy area 502 24.0% 0.2399618
3 a new White Paper 561 26.8% 0.2681644
4 a new NOU (Official Norwegian Reports) 503 24.0% 0.2404398
Sysmiss 114 NA


f4_piigax


Variable label: Legitimacy/quality: Participation of interest groups in policy making
Literal question: When working with [f4_piigax_ran], do you consider participation from interest groups to be more important in ensuring the legitimacy or quality of the work?
Field period: 13.11.2023 - 05.12.2023
Technical description:

[All respondents asked]

[Asked on the same page as [f4_piigax_ir]. If respondent selected an option in [f4_piigax_ir], this could not be selected, and vice-versa.]
Technical attributes: [Question type:Numeric] [Format:numeric] [Valid:988] [Invalid:1218] [Range:0-6]

Value Label Cases Percentage
0 0 - more important for legitimacy 77 7.8% 0.07793522
1 1 168 17.0% 0.17004049
2 2 187 18.9% 0.18927126
3 3 298 30.2% 0.30161943
4 4 121 12.2% 0.12246964
5 5 105 10.6% 0.10627530
6 6 - more important for quality 32 3.2% 0.03238866
Sysmiss 1218 NA


f4_piigax_ir


Variable label: Legitimacy/quality: Participation of interest groups in policy-making: no experience with this type of work
Pre-question text: When working with [f4_piigax_ran], do you consider participation from interest groups to be more important in ensuring the legitimacy or quality of the work?
Literal question: Do not have experience regarding this type of work
Field period: 13.11.2023 - 05.12.2023
Technical description:

[All respondents asked]

[Asked on the same page as [f4_piigax]. If respondent selected an option in [f4_piigax], this could not be selected, and vice-versa.]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2206] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 1064 48.2% 0.48232094
0 Not selected 1016 46.1% 0.46056210
97 Not answered 126 5.7% 0.05711695


f4_pititx_ran1


Variable label: Experiment. Sets random element for text piping in [f4_pititx].
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Randomized for all respondents]

[If [f4_pititx_ran1] = 1 the first element is selected. If [f4_pititx_ran1] = 2 the second element is selected.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2075] [Invalid:131] [Range:1-2]

Value Label Cases Percentage
1 [BLANK] 1033 49.8% 0.4978313
2 It is about nine months before the upcoming general election. 1042 50.2% 0.5021687
Sysmiss 131 NA


f4_pititx_ran2


Variable label: Experiment. Sets random element for text piping in [f4_pititx].
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Randomized for all respondents]

[If [f4_pititx_ran2] = 1 the first element is selected. If [f4_pititx_ran2] = 2 the second element is selected. If [f4_pititx_ran2] = 3 the third element is selected. If [f4_pititx_ran2] = 4 the fourth element is selected. If [f4_pititx_ran2] = 5 the fifth element is selected. If [f4_pititx_ran2] = 6 the sixth element is selected.]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2075] [Invalid:131] [Range:1-7]

Value Label Cases Percentage
1 [BLANK] 306 14.7% 0.1474699
2 Experts at your unit largely agree that the proposed measures are not effective in achieving the set goals. 335 16.1% 0.1614458
3 Experts at your unit generally agree that the proposed measures are effective in achieving the set goals. 299 14.4% 0.1440964
4 Experts at your unit generally agree that the proposed measures are not in accordance with the framework set by the applicable legislation. 283 13.6% 0.1363855
5 Experts at your unit generally agree that the proposed measures are in accordance with the framework set by the applicable legislation. 278 13.4% 0.1339759
6 Experts at your unit generally agree that the proposed measures will mainly benefit voters from the governing parties. 271 13.1% 0.1306024
7 Experts at your unit generally agree that the proposed measures will benefit all segments of the Norwegian population. 303 14.6% 0.1460241
Sysmiss 131 NA


f4_pititx_ranorder


Variable label: Experiment. Sets which question comes first of [f4_pititx1] and [f4_pititx2].
Field period: 13.11.2023 - 05.12.2023
Technical description: [Randomized for all respondents]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2075] [Invalid:131] [Range:1-2]

Value Label Cases Percentage
1 f4_pititx1 first 1016 49.0% 0.4896386
2 f4_pititx2 first 1059 51.0% 0.5103614
Sysmiss 131 NA


f4_pititx1_1


Variable label: Probability that the civil service will use the following procedures in this situation: Propose the longest possible response deadlines for public consultation and statements from other concerned ministries (eg more than 3 months).
Pre-question text:

[If [f4_pititx_ranorder] = 1:

Please consider the following hypothetical situation carefully, and honestly answer the questions that follow:

[f4_pititx_ran1]The minister responsible for your policy area wants to introduce an ambitious policy measure which will require significant changes to existing legislation. [f4_pititx_ran2]

Your unit holds the primary responsibility for the formal investigation and preparation process in line with official guidelines (Utredningsinstruksen 2016). In your opinion, how likely is it that the civil service will adopt the following procedures in this situation?:]

[If [f4_pititx_ranorder] = 2:

Keep in mind still the formal investigation and preparation process described previously. In your opinion, how likely is it that the civil service will adopt the following procedures in this situation?:]
Literal question: Propose the longest possible response deadlines for public consultation and statements from other relevant ministries (e.g. more than 3 months).
Field period: 13.11.2023 - 05.12.2023
Technical description:

[All respondents asked]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Very likely 30 1.4% 0.01359927
2 Likely 148 6.7% 0.06708976
3 Somewhat likely 307 13.9% 0.13916591
4 Unlikely 806 36.5% 0.36536718
5 Not likely at all 293 13.3% 0.13281958
6 Not relevant 331 15.0% 0.15004533
97 Not answered 291 13.2% 0.13191296


f4_pititx1_2


Variable label: Probability that the civil service will use the following procedures in this situation: Suggest risk and socio-economic analyses, although strictly speaking it is not required.
Pre-question text:

[If [f4_pititx_ranorder] = 1:

Please consider the following hypothetical situation carefully, and honestly answer the questions that follow:

[f4_pititx_ran1]The minister responsible for your policy area wants to introduce an ambitious policy measure which will require significant changes to existing legislation. [f4_pititx_ran2]

Your unit holds the primary responsibility for the formal investigation and preparation process in line with official guidelines (Utredningsinstruksen 2016). In your opinion, how likely is it that the civil service will adopt the following procedures in this situation?:]

[If [f4_pititx_ranorder] = 2:

Keep in mind still the formal investigation and preparation process described previously. In your opinion, how likely is it that the civil service will adopt the following procedures in this situation?:]
Literal question: Propose cost-benefit analyses, even if strictly speaking they are not required.
Field period: 13.11.2023 - 05.12.2023
Technical description:

[All respondents asked]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Very likely 51 2.3% 0.02311877
2 Likely 242 11.0% 0.10970082
3 Somewhat likely 412 18.7% 0.18676337
4 Unlikely 673 30.5% 0.30507706
5 Not likely at all 231 10.5% 0.10471442
6 Not relevant 305 13.8% 0.13825929
97 Not answered 292 13.2% 0.13236627


f4_pititx1_3


Variable label: Probability that the civil service will use the following procedures in this situation: Taking more time than necessary to identify, investigate and evaluate the effects of alternative measures.
Pre-question text:

[If [f4_pititx_ranorder] = 1:

Please consider the following hypothetical situation carefully, and honestly answer the questions that follow:

[f4_pititx_ran1]The minister responsible for your policy area wants to introduce an ambitious policy measure which will require significant changes to existing legislation. [f4_pititx_ran2]

Your unit holds the primary responsibility for the formal investigation and preparation process in line with official guidelines (Utredningsinstruksen 2016). In your opinion, how likely is it that the civil service will adopt the following procedures in this situation?:]

[If [f4_pititx_ranorder] = 2:

Keep in mind still the formal investigation and preparation process described previously. In your opinion, how likely is it that the civil service will adopt the following procedures in this situation?:]
Literal question: Spend more time than necessary identifying, investigating and assessing the effects of alternative measures.
Field period: 13.11.2023 - 05.12.2023
Technical description:

[All respondents asked]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Very likely 50 2.3% 0.02266546
2 Likely 164 7.4% 0.07434270
3 Somewhat likely 334 15.1% 0.15140526
4 Unlikely 785 35.6% 0.35584769
5 Not likely at all 300 13.6% 0.13599275
6 Not relevant 284 12.9% 0.12873980
97 Not answered 289 13.1% 0.13100635


f4_pititx1_4


Variable label: Probability that the civil service will use the following procedures in this situation: Examine legal arguments against rapid implementation of the proposed measures.
Pre-question text:

[If [f4_pititx_ranorder] = 1:

Please consider the following hypothetical situation carefully, and honestly answer the questions that follow:

[f4_pititx_ran1]The minister responsible for your policy area wants to introduce an ambitious policy measure which will require significant changes to existing legislation. [f4_pititx_ran2]

Your unit holds the primary responsibility for the formal investigation and preparation process in line with official guidelines (Utredningsinstruksen 2016). In your opinion, how likely is it that the civil service will adopt the following procedures in this situation?:]

[If [f4_pititx_ranorder] = 2:

Keep in mind still the formal investigation and preparation process described previously. In your opinion, how likely is it that the civil service will adopt the following procedures in this situation?:]
Literal question: Investigate legal arguments against rapid implementation of the proposed measures.
Field period: 13.11.2023 - 05.12.2023
Technical description:

[All respondents asked]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Very likely 152 6.9% 0.06890299
2 Likely 463 21.0% 0.20988214
3 Somewhat likely 474 21.5% 0.21486854
4 Unlikely 394 17.9% 0.17860381
5 Not likely at all 129 5.8% 0.05847688
6 Not relevant 301 13.6% 0.13644606
97 Not answered 293 13.3% 0.13281958


f4_pititx1_5


Variable label: Probability that the civil service will use the following procedures in this situation: Leaking information about the proposed measures before the case becomes public.
Pre-question text:

[If [f4_pititx_ranorder] = 1:

Please consider the following hypothetical situation carefully, and honestly answer the questions that follow:

[f4_pititx_ran1]The minister responsible for your policy area wants to introduce an ambitious policy measure which will require significant changes to existing legislation. [f4_pititx_ran2]

Your unit holds the primary responsibility for the formal investigation and preparation process in line with official guidelines (Utredningsinstruksen 2016). In your opinion, how likely is it that the civil service will adopt the following procedures in this situation?:]

[If [f4_pititx_ranorder] = 2:

Keep in mind still the formal investigation and preparation process described previously. In your opinion, how likely is it that the civil service will adopt the following procedures in this situation?:]
Literal question: Leak information about the proposed measures before the matter becomes public.
Field period: 13.11.2023 - 05.12.2023
Technical description:

[All respondents asked]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Very likely 13 0.6% 0.005893019
2 Likely 58 2.6% 0.026291931
3 Somewhat likely 128 5.8% 0.058023572
4 Unlikely 520 23.6% 0.235720762
5 Not likely at all 884 40.1% 0.400725295
6 Not relevant 314 14.2% 0.142339075
97 Not answered 289 13.1% 0.131006346


f4_pititx2_6


Variable label: Probability that the civil service will use the following procedures in this situation: Propose shortest possible response deadlines for public consultation and statements from other concerned ministries (e.g. less than 6 weeks).
Pre-question text:

[If [f4_pititx_ranorder] = 2:

Please consider the following hypothetical situation carefully, and honestly answer the questions that follow:

[f4_pititx_ran1]The minister responsible for your policy area wants to introduce an ambitious policy measure which will require significant changes to existing legislation. [f4_pititx_ran2]

Your unit holds the primary responsibility for the formal investigation and preparation process in line with official guidelines (Utredningsinstruksen 2016). In your opinion, how likely is it that the civil service will adopt the following procedures in this situation?:]

[If [f4_pititx_ranorder] = 1:

Keep in mind still the formal investigation and preparation process described previously. In your opinion, how likely is it that the civil service will adopt the following procedures in this situation?:]
Literal question: Propose the shortest possible response deadlines for public consultation and statements from other relevant ministries (e.g. less than 6 weeks).
Field period: 13.11.2023 - 05.12.2023
Technical description:

[All respondents asked]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Very likely 56 2.5% 0.02538531
2 Likely 206 9.3% 0.09338169
3 Somewhat likely 415 18.8% 0.18812330
4 Unlikely 699 31.7% 0.31686310
5 Not likely at all 221 10.0% 0.10018132
6 Not relevant 322 14.6% 0.14596555
97 Not answered 287 13.0% 0.13009973


f4_pititx2_7


Variable label: Probability that the civil service will use the following procedures in this situation: Argue for omitting risk and socio-economic analyses.
Pre-question text:

[If [f4_pititx_ranorder] = 2:

Please consider the following hypothetical situation carefully, and honestly answer the questions that follow:

[f4_pititx_ran1]The minister responsible for your policy area wants to introduce an ambitious policy measure which will require significant changes to existing legislation. [f4_pititx_ran2]

Your unit holds the primary responsibility for the formal investigation and preparation process in line with official guidelines (Utredningsinstruksen 2016). In your opinion, how likely is it that the civil service will adopt the following procedures in this situation?:]

[If [f4_pititx_ranorder] = 1:

Keep in mind still the formal investigation and preparation process described previously. In your opinion, how likely is it that the civil service will adopt the following procedures in this situation?:]
Literal question: Argue for omitting cost-benefit analyses.
Field period: 13.11.2023 - 05.12.2023
Technical description:

[All respondents asked]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Very likely 28 1.3% 0.01269266
2 Likely 100 4.5% 0.04533092
3 Somewhat likely 256 11.6% 0.11604714
4 Unlikely 796 36.1% 0.36083409
5 Not likely at all 419 19.0% 0.18993654
6 Not relevant 320 14.5% 0.14505893
97 Not answered 287 13.0% 0.13009973


f4_pititx2_8


Variable label: Probability that the civil service will use the following procedures in this situation: Do not spend more time than absolutely necessary to identify, investigate and evaluate the effects of alternative measures.
Pre-question text:

[If [f4_pititx_ranorder] = 2:

Please consider the following hypothetical situation carefully, and honestly answer the questions that follow:

[f4_pititx_ran1]The minister responsible for your policy area wants to introduce an ambitious policy measure which will require significant changes to existing legislation. [f4_pititx_ran2]

Your unit holds the primary responsibility for the formal investigation and preparation process in line with official guidelines (Utredningsinstruksen 2016). In your opinion, how likely is it that the civil service will adopt the following procedures in this situation?:]

[If [f4_pititx_ranorder] = 1:

Keep in mind still the formal investigation and preparation process described previously. In your opinion, how likely is it that the civil service will adopt the following procedures in this situation?:]
Literal question: Do not spend more time than absolutely necessary on identifying, investigating and assessing the effects of alternative measures.
Field period: 13.11.2023 - 05.12.2023
Technical description:

[All respondents asked]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Very likely 122 5.5% 0.05530372
2 Likely 503 22.8% 0.22801451
3 Somewhat likely 516 23.4% 0.23390752
4 Unlikely 389 17.6% 0.17633726
5 Not likely at all 100 4.5% 0.04533092
6 Not relevant 289 13.1% 0.13100635
97 Not answered 287 13.0% 0.13009973


f4_pititx2_9


Variable label: Probability that the civil service will use the following procedures in this situation: Examine legal arguments in support of rapid implementation of the proposed measures.
Pre-question text:

[If [f4_pititx_ranorder] = 2:

Please consider the following hypothetical situation carefully, and honestly answer the questions that follow:

[f4_pititx_ran1]The minister responsible for your policy area wants to introduce an ambitious policy measure which will require significant changes to existing legislation. [f4_pititx_ran2]

Your unit holds the primary responsibility for the formal investigation and preparation process in line with official guidelines (Utredningsinstruksen 2016). In your opinion, how likely is it that the civil service will adopt the following procedures in this situation?:]

[If [f4_pititx_ranorder] = 1:

Keep in mind still the formal investigation and preparation process described previously. In your opinion, how likely is it that the civil service will adopt the following procedures in this situation?:]
Literal question: Investigate legal arguments in support of rapid implementation of the proposed measures.
Field period: 13.11.2023 - 05.12.2023
Technical description:

[All respondents asked]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Very likely 211 9.6% 0.09564823
2 Likely 581 26.3% 0.26337262
3 Somewhat likely 523 23.7% 0.23708069
4 Unlikely 247 11.2% 0.11196736
5 Not likely at all 44 2.0% 0.01994560
6 Not relevant 311 14.1% 0.14097915
97 Not answered 289 13.1% 0.13100635


f4_pititx2_10


Variable label: Probability that the civil service will use the following procedures in this situation: Ensure that the civil service treats the case confidentially before it is to be made public.
Pre-question text:

[If [f4_pititx_ranorder] = 2:

Please consider the following hypothetical situation carefully, and honestly answer the questions that follow:

[f4_pititx_ran1]The minister responsible for your policy area wants to introduce an ambitious policy measure which will require significant changes to existing legislation. [f4_pititx_ran2]

Your unit holds the primary responsibility for the formal investigation and preparation process in line with official guidelines (Utredningsinstruksen 2016). In your opinion, how likely is it that the civil service will adopt the following procedures in this situation?:]

[If [f4_pititx_ranorder] = 1:

Keep in mind still the formal investigation and preparation process described previously. In your opinion, how likely is it that the civil service will adopt the following procedures in this situation?:]
Literal question: Ensure that the civil service processes the matter confidentially until it is made public.
Field period: 13.11.2023 - 05.12.2023
Technical description:

[All respondents asked]

[Display order of questions in grid: Randomized]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Very likely 661 30.0% 0.29963735
2 Likely 601 27.2% 0.27243880
3 Somewhat likely 226 10.2% 0.10244787
4 Unlikely 110 5.0% 0.04986401
5 Not likely at all 35 1.6% 0.01586582
6 Not relevant 292 13.2% 0.13236627
97 Not answered 281 12.7% 0.12737987


f4_wotmcx1_perfor1


Variable label: Experiment. Sets random personal relationship for Candidate A in [f4_wotmcx1].
Field period: 13.11.2023 - 05.12.2023
Technical description: [Randomized if the respondent was registered with a value in f4_P6]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1981] [Invalid:225] [Range:1-6]

Value Label Cases Percentage
1 Has studied together with the state secretary of a senior ministry 288 14.5% 0.1453811
2 Is married to a senior government executive outside your sector 320 16.2% 0.1615346
3 Is in the minister’s circle of friends 298 15.0% 0.1504291
4 Has studied together with the state secretary of a senior ministry 351 17.7% 0.1771832
5 Is married to a senior government executive outside your sector 362 18.3% 0.1827360
6 Is in the circle of friends of a minister at a senior ministry 362 18.3% 0.1827360
Sysmiss 225 NA


f4_wotmcx1_perfor2


Variable label: Experiment. Sets random personal relationship for Candidate B in [f4_wotmcx1].
Field period: 13.11.2023 - 05.12.2023
Technical description: [Randomized if the respondent was registered with a value in f4_P6]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1981] [Invalid:225] [Range:1-6]

Value Label Cases Percentage
1 Has studied together with the state secretary of a senior ministry 327 16.5% 0.1650681
2 Is married to a senior government executive outside your sector 305 15.4% 0.1539626
3 Is in the minister’s circle of friends 273 13.8% 0.1378092
4 Has studied together with the state secretary of a senior ministry 366 18.5% 0.1847552
5 Is married to a senior government executive outside your sector 362 18.3% 0.1827360
6 Is in the circle of friends of a minister at a senior ministry 348 17.6% 0.1756689
Sysmiss 225 NA


f4_wotmcx1_fageks1


Variable label: Experiment. Sets random subject expertise for Candidate A in [f4_wotmcx1].
Field period: 13.11.2023 - 05.12.2023
Technical description: [Randomized between 1 and 2 if [f4_P6] = 1. Randomized between 3 and 4 if [f4_P6] = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1981] [Invalid:225] [Range:1-4]

Value Label Cases Percentage
1 Specialist with strong professional expertise in the ministry’s area of responsibility 455 23.0% 0.2296820
2 Generalist with little professional expertise in the ministry’s area of responsibility 451 22.8% 0.2276628
3 Specialist with strong professional expertise in the organisation's area of responsibility 539 27.2% 0.2720848
4 Generalist with little professional expertise in the organisation's area of responsibility 536 27.1% 0.2705704
Sysmiss 225 NA


f4_wotmcx1_fageks2


Variable label: Experiment. Sets random subject expertise for Candidate B in [f4_wotmcx1].
Field period: 13.11.2023 - 05.12.2023
Technical description: [Randomized between 1 and 2 if [f4_P6] = 1. Randomized between 3 and 4 if [f4_P6] = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1981] [Invalid:225] [Range:1-4]

Value Label Cases Percentage
1 Specialist with strong professional expertise in the ministry’s area of responsibility 490 24.7% 0.2473498
2 Generalist with little professional expertise in the ministry’s area of responsibility 414 20.9% 0.2089854
3 Specialist with strong professional expertise in the organisation's area of responsibility 546 27.6% 0.2756184
4 Generalist with little professional expertise in the organisation's area of responsibility 531 26.8% 0.2680464
Sysmiss 225 NA


f4_wotmcx1_arberf1


Variable label: Experiment. Sets random work experience for Candidate A in [f4_wotmcx1].
Field period: 13.11.2023 - 05.12.2023
Technical description: [Randomized if the respondent was registered with a value in f4_P6]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1981] [Invalid:225] [Range:1-4]

Value Label Cases Percentage
1 Has work experience from your ministry 454 22.9% 0.2291772
2 Has no work experience from your ministry 452 22.8% 0.2281676
3 Has work experience from your organisation 530 26.8% 0.2675416
4 Has no work experience from your organisation 545 27.5% 0.2751136
Sysmiss 225 NA


f4_wotmcx1_arberf2


Variable label: Experiment. Sets random work experience for Candidate B in [f4_wotmcx1].
Field period: 13.11.2023 - 05.12.2023
Technical description: [Randomized if the respondent was registered with a value in f4_P6]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1981] [Invalid:225] [Range:1-4]

Value Label Cases Percentage
1 Has work experience from your ministry 452 22.8% 0.2281676
2 Has no work experience from your ministry 453 22.9% 0.2286724
3 Has work experience from your organisation 584 29.5% 0.2948006
4 Has no work experience from your organisation 492 24.8% 0.2483594
Sysmiss 225 NA


f4_wotmcx1_person1


Variable label: Experiment. Sets random personality for Candidate A in [f4_wotmcx1].
Field period: 13.11.2023 - 05.12.2023
Technical description: [Randomized if the respondent was registered with a value in f4_P6]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1981] [Invalid:225] [Range:1-3]

Value Label Cases Percentage
1 Ambitious reformer 633 32.0% 0.3195356
2 Pragmatic 660 33.3% 0.3331651
3 Oriented towards the status quo 688 34.7% 0.3472993
Sysmiss 225 NA


f4_wotmcx1_person2


Variable label: Experiment. Sets random personality for Candidate B in [f4_wotmcx1].
Field period: 13.11.2023 - 05.12.2023
Technical description: [Randomized if the respondent was registered with a value in f4_P6]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1981] [Invalid:225] [Range:1-3]

Value Label Cases Percentage
1 Ambitious reformer 644 32.5% 0.3250883
2 Pragmatic 667 33.7% 0.3366986
3 Oriented towards the status quo 670 33.8% 0.3382130
Sysmiss 225 NA


f4_wotmcx1_polakt1


Variable label: Experiment. Sets random political activity for Candidate A in [f4_wotmcx1].
Field period: 13.11.2023 - 05.12.2023
Technical description: [Randomized if the respondent was registered with a value in f4_P6]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1981] [Invalid:225] [Range:1-3]

Value Label Cases Percentage
1 Has never been active in a political party 645 32.6% 0.3255931
2 Has been active in a party that is currently in the government 678 34.2% 0.3422514
3 Has been active in a party that is not currently in the government 658 33.2% 0.3321555
Sysmiss 225 NA


f4_wotmcx1_polakt2


Variable label: Experiment. Sets random political activity for Candidate B in [f4_wotmcx1].
Field period: 13.11.2023 - 05.12.2023
Technical description: [Randomized if the respondent was registered with a value in f4_P6]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1981] [Invalid:225] [Range:1-3]

Value Label Cases Percentage
1 Has never been active in a political party 649 32.8% 0.3276123
2 Has been active in a party that is currently in the government 645 32.6% 0.3255931
3 Has been active in a party that is not currently in the government 687 34.7% 0.3467945
Sysmiss 225 NA


f4_wotmcx1_karvei1


Variable label: Experiment. Sets random career path for Candidate A in [f4_wotmcx1].
Field period: 13.11.2023 - 05.12.2023
Technical description: [Randomized if the respondent was registered with a value in f4_P6]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1981] [Invalid:225] [Range:1-3]

Value Label Cases Percentage
1 Has many years of work experience from the public sector 658 33.2% 0.3321555
2 Has many years of experience from the private sector 653 33.0% 0.3296315
3 Has many years of experience from the non-profit sector 670 33.8% 0.3382130
Sysmiss 225 NA


f4_wotmcx1_karvei2


Variable label: Experiment. Sets random career path for Candidate B in [f4_wotmcx1].
Field period: 13.11.2023 - 05.12.2023
Technical description: [Randomized if the respondent was registered with a value in f4_P6]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1981] [Invalid:225] [Range:1-3]

Value Label Cases Percentage
1 Has many years of work experience from the public sector 663 33.5% 0.3346795
2 Has many years of experience from the private sector 692 34.9% 0.3493185
3 Has many years of experience from the non-profit sector 626 31.6% 0.3160020
Sysmiss 225 NA


f4_wotmcx1_rerandomize


Variable label: Technical details of a possible rerandomization of the f4_wotmcx1-variables.
Field period: 13.11.2023 - 05.12.2023
Technical description: [Contains information if there was a need to rerandomize the candidates’ attributes.]
Technical attributes: [Question type:Open] [Format:character] [Valid:1981] [Invalid:225] [Range:-]



f4_wotmcx1_roworder


Variable label: Experiment. The random order the attributes were shown in in the table for [f4_wotmcx1]. Given sequentially, sorted by row number.
Field period: 13.11.2023 - 05.12.2023
Technical description:

[The random order the attributes were shown in in the table for [f4_wotmcx1]. Shows the topics’ rowwise placement, sorted by topic. If the first number is 2 it means that topic 1 (personal relationships) was shown in row number 2, and if the the second number is 4 it means that topic 2 (subject expertise) was shown in row number 4, etc. See [f4_wotmcx1_roworder_seq] for the sequential order, sorted by row number.

1 = Personal relationships. 2 = Subject expertise. 3 = Work experience. 4 = Personality. 5 = Political activity. 6 = Career path.]
Technical attributes: [Question type:Open] [Format:character] [Valid:1981] [Invalid:225] [Range:-]



f4_wotmcx1_roworder_seq


Variable label: Experiment. The random order the attributes were shown in in the table for [f4_wotmcx1]. Given as a topic’s rowwise placement, sorted by topic.
Field period: 13.11.2023 - 05.12.2023
Technical description:

[The random order the attributes were shown in in the table for [f4_wotmcx1]. Shows the topics’ placement, sorted by row number. The first number indicates what topic was shown in the first row, while the next number shows what topic was shown in the second row, etc.

1 = Personal relationships. 2 = Subject expertise. 3 = Work experience. 4 = Personality. 5 = Political activity. 6 = Career path.]
Technical attributes: [Question type:Open] [Format:character] [Valid:1981] [Invalid:225] [Range:-]



f4_wotmcx1_1


Variable label: Agree/disagree: I would like to work under candidate A’s management.
Pre-question text:

Imagine that there is a vacant position in the senior management of your organisation.

There are several candidates who stand out in the recommendation. Carefully read the description of two of these candidates and consider the questions below.

Candidate A:

f4_wotmcx1_perfor1

f4_wotmcx1_fageks1

f4_wotmcx1_arberf1

f4_wotmcx1_person1

f4_wotmcx1_polakt1

f4_wotmcx1_karvei1

Candidate B:

f4_wotmcx1_perfor2

f4_wotmcx1_fageks2

f4_wotmcx1_arberf2

f4_wotmcx1_person2

f4_wotmcx1_polakt2

f4_wotmcx1_karvei2

To what extent do you agree or disagree with the following statements:
Literal question: I would have liked to work under candidate A’s leadership.
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if the respondent was registered with a value in f4_P6]

[Respondents were shown the candidates’ attributes in a table. The variables were shown in a random order which can be found in [f4_wotmcx1_roworder] and [f4_wotmcx1_roworder_seq]. Asked on the same page as [f4_wotmcx1p].]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 113 5.1% 0.05122393
2 Agree 467 21.2% 0.21169538
3 Agree somewhat 373 16.9% 0.16908432
4 Neither agree nor disagree 514 23.3% 0.23300091
5 Disagree somewhat 257 11.7% 0.11650045
6 Disagree 147 6.7% 0.06663645
7 Strongly disagree 55 2.5% 0.02493200
97 Not answered 280 12.7% 0.12692656
98 Not asked 0 NA


f4_wotmcx1_2


Variable label: Agree/disagree: I would like to work under candidate B’s management.
Pre-question text:

Imagine that there is a vacant position in the senior management of your organisation.

There are several candidates who stand out in the recommendation. Carefully read the description of two of these candidates and consider the questions below.

Candidate A:

f4_wotmcx1_perfor1

f4_wotmcx1_fageks1

f4_wotmcx1_arberf1

f4_wotmcx1_person1

f4_wotmcx1_polakt1

f4_wotmcx1_karvei1

Candidate B:

f4_wotmcx1_perfor2

f4_wotmcx1_fageks2

f4_wotmcx1_arberf2

f4_wotmcx1_person2

f4_wotmcx1_polakt2

f4_wotmcx1_karvei2

To what extent do you agree or disagree with the following statements:
Literal question: I would have liked to work under candidate B’s leadership.
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if the respondent was registered with a value in f4_P6]

[Respondents were shown the candidates’ attributes in a table. The variables were shown in a random order which can be found in [f4_wotmcx1_roworder] and [f4_wotmcx1_roworder_seq]. Asked on the same page as [f4_wotmcx1p].]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 97 4.4% 0.04397099
2 Agree 488 22.1% 0.22121487
3 Agree somewhat 427 19.4% 0.19356301
4 Neither agree nor disagree 498 22.6% 0.22574796
5 Disagree somewhat 250 11.3% 0.11332729
6 Disagree 117 5.3% 0.05303717
7 Strongly disagree 45 2.0% 0.02039891
97 Not answered 284 12.9% 0.12873980
98 Not asked 0 NA


f4_wotmcx1p


Variable label: All things considered, under which candidate’s leadership would you prefer to work?
Pre-question text:

Imagine that there is a vacant position in the senior management of your organisation.

There are several candidates who stand out in the recommendation. Carefully read the description of two of these candidates and consider the questions below.

Candidate A:

f4_wotmcx1_perfor1

f4_wotmcx1_fageks1

f4_wotmcx1_arberf1

f4_wotmcx1_person1

f4_wotmcx1_polakt1

f4_wotmcx1_karvei1

Candidate B:

f4_wotmcx1_perfor2

f4_wotmcx1_fageks2

f4_wotmcx1_arberf2

f4_wotmcx1_person2

f4_wotmcx1_polakt2

f4_wotmcx1_karvei2

To what extent do you agree or disagree with the following statements:
Literal question: All things considered, under which candidate’s leadership would you prefer to work?
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if the respondent was registered with a value in f4_P6]

[Respondents were shown the candidates’ attributes in a table. The variables were shown in a random order which can be found in [f4_wotmcx1_roworder] and [f4_wotmcx1_roworder_seq]. Asked on the same page as [f4_wotmcx1].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Candidate A 874 39.6% 0.3961922
2 Candidate B 983 44.6% 0.4456029
97 Not answered 349 15.8% 0.1582049
98 Not asked 0 NA


f4_wotmcx2_perfor1


Variable label: Experiment. Sets random personal relationship for Candidate C in [f4_wotmcx2].
Field period: 13.11.2023 - 05.12.2023
Technical description: [Randomized if the respondent was registered with a value in f4_P6]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1972] [Invalid:234] [Range:1-6]

Value Label Cases Percentage
1 Has studied together with the state secretary of a senior ministry 290 14.7% 0.1470588
2 Is married to a senior government executive outside your sector 280 14.2% 0.1419878
3 Is in the minister’s circle of friends 333 16.9% 0.1688641
4 Has studied together with the state secretary of a senior ministry 343 17.4% 0.1739351
5 Is married to a senior government executive outside your sector 361 18.3% 0.1830629
6 Is in the circle of friends of a minister at a senior ministry 365 18.5% 0.1850913
Sysmiss 234 NA


f4_wotmcx2_perfor2


Variable label: Experiment. Sets random personal relationship for Candidate D in [f4_wotmcx2].
Field period: 13.11.2023 - 05.12.2023
Technical description: [Randomized if the respondent was registered with a value in f4_P6]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1972] [Invalid:234] [Range:1-6]

Value Label Cases Percentage
1 Has studied together with the state secretary of a senior ministry 327 16.6% 0.1658215
2 Is married to a senior government executive outside your sector 301 15.3% 0.1526369
3 Is in the minister’s circle of friends 275 13.9% 0.1394523
4 Has studied together with the state secretary of a senior ministry 353 17.9% 0.1790061
5 Is married to a senior government executive outside your sector 364 18.5% 0.1845842
6 Is in the circle of friends of a minister at a senior ministry 352 17.8% 0.1784990
Sysmiss 234 NA


f4_wotmcx2_fageks1


Variable label: Experiment. Sets random subject expertise for Candidate C in [f4_wotmcx2].
Field period: 13.11.2023 - 05.12.2023
Technical description: [Randomized between 1 and 2 if [f4_P6] = 1. Randomized between 3 and 4 if [f4_P6] = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1972] [Invalid:234] [Range:1-4]

Value Label Cases Percentage
1 Specialist with strong professional expertise in the ministry’s area of responsibility 444 22.5% 0.2251521
2 Generalist with little professional expertise in the ministry’s area of responsibility 459 23.3% 0.2327586
3 Specialist with strong professional expertise in the organisation's area of responsibility 504 25.6% 0.2555781
4 Generalist with little professional expertise in the organisation's area of responsibility 565 28.7% 0.2865112
Sysmiss 234 NA


f4_wotmcx2_fageks2


Variable label: Experiment. Sets random subject expertise for Candidate D in [f4_wotmcx2].
Field period: 13.11.2023 - 05.12.2023
Technical description: [Randomized between 1 and 2 if [f4_P6] = 1. Randomized between 3 and 4 if [f4_P6] = 2]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1972] [Invalid:234] [Range:1-4]

Value Label Cases Percentage
1 Specialist with strong professional expertise in the ministry’s area of responsibility 457 23.2% 0.2317444
2 Generalist with little professional expertise in the ministry’s area of responsibility 446 22.6% 0.2261663
3 Specialist with strong professional expertise in the organisation's area of responsibility 539 27.3% 0.2733266
4 Generalist with little professional expertise in the organisation's area of responsibility 530 26.9% 0.2687627
Sysmiss 234 NA


f4_wotmcx2_arberf1


Variable label: Experiment. Sets random work experience for Candidate C in [f4_wotmcx2].
Field period: 13.11.2023 - 05.12.2023
Technical description: [Randomized if the respondent was registered with a value in f4_P6]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1972] [Invalid:234] [Range:1-4]

Value Label Cases Percentage
1 Has work experience from your ministry 455 23.1% 0.2307302
2 Has no work experience from your ministry 448 22.7% 0.2271805
3 Has work experience from your organisation 521 26.4% 0.2641988
4 Has no work experience from your organisation 548 27.8% 0.2778905
Sysmiss 234 NA


f4_wotmcx2_arberf2


Variable label: Experiment. Sets random work experience for Candidate D in [f4_wotmcx2].
Field period: 13.11.2023 - 05.12.2023
Technical description: [Randomized if the respondent was registered with a value in f4_P6]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1972] [Invalid:234] [Range:1-4]

Value Label Cases Percentage
1 Has work experience from your ministry 464 23.5% 0.2352941
2 Has no work experience from your ministry 440 22.3% 0.2231237
3 Has work experience from your organisation 541 27.4% 0.2743408
4 Has no work experience from your organisation 527 26.7% 0.2672414
Sysmiss 234 NA


f4_wotmcx2_person1


Variable label: Experiment. Sets random personality for Candidate C in [f4_wotmcx2].
Field period: 13.11.2023 - 05.12.2023
Technical description: [Randomized if the respondent was registered with a value in f4_P6]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1972] [Invalid:234] [Range:1-3]

Value Label Cases Percentage
1 Ambitious reformer 618 31.3% 0.3133874
2 Pragmatic 647 32.8% 0.3280933
3 Oriented towards the status quo 707 35.9% 0.3585193
Sysmiss 234 NA


f4_wotmcx2_person2


Variable label: Experiment. Sets random personality for Candidate D in [f4_wotmcx2].
Field period: 13.11.2023 - 05.12.2023
Technical description: [Randomized if the respondent was registered with a value in f4_P6]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1972] [Invalid:234] [Range:1-3]

Value Label Cases Percentage
1 Ambitious reformer 698 35.4% 0.3539554
2 Pragmatic 645 32.7% 0.3270791
3 Oriented towards the status quo 629 31.9% 0.3189655
Sysmiss 234 NA


f4_wotmcx2_polakt1


Variable label: Experiment. Sets random political activity for Candidate C in [f4_wotmcx2].
Field period: 13.11.2023 - 05.12.2023
Technical description: [Randomized if the respondent was registered with a value in f4_P6]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1972] [Invalid:234] [Range:1-3]

Value Label Cases Percentage
1 Has never been active in a political party 684 34.7% 0.3468560
2 Has been active in a party that is currently in the government 641 32.5% 0.3250507
3 Has been active in a party that is not currently in the government 647 32.8% 0.3280933
Sysmiss 234 NA


f4_wotmcx2_polakt2


Variable label: Experiment. Sets random political activity for Candidate D in [f4_wotmcx2].
Field period: 13.11.2023 - 05.12.2023
Technical description: [Randomized if the respondent was registered with a value in f4_P6]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1972] [Invalid:234] [Range:1-3]

Value Label Cases Percentage
1 Has never been active in a political party 674 34.2% 0.3417850
2 Has been active in a party that is currently in the government 672 34.1% 0.3407708
3 Has been active in a party that is not currently in the government 626 31.7% 0.3174442
Sysmiss 234 NA


f4_wotmcx2_karvei1


Variable label: Experiment. Sets random career path for Candidate C in [f4_wotmcx2].
Field period: 13.11.2023 - 05.12.2023
Technical description: [Randomized if the respondent was registered with a value in f4_P6]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1972] [Invalid:234] [Range:1-3]

Value Label Cases Percentage
1 Has many years of work experience from the public sector 682 34.6% 0.3458418
2 Has many years of experience from the private sector 621 31.5% 0.3149087
3 Has many years of experience from the non-profit sector 669 33.9% 0.3392495
Sysmiss 234 NA


f4_wotmcx2_karvei2


Variable label: Experiment. Sets random career path for Candidate D in [f4_wotmcx2].
Field period: 13.11.2023 - 05.12.2023
Technical description: [Randomized if the respondent was registered with a value in f4_P6]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:1972] [Invalid:234] [Range:1-3]

Value Label Cases Percentage
1 Has many years of work experience from the public sector 672 34.1% 0.3407708
2 Has many years of experience from the private sector 622 31.5% 0.3154158
3 Has many years of experience from the non-profit sector 678 34.4% 0.3438134
Sysmiss 234 NA


f4_wotmcx2_rerandomize


Variable label: Technical details of a possible rerandomization of the f4_wotmcx2-variables.
Field period: 13.11.2023 - 05.12.2023
Technical description: [Contains information if there was a need to rerandomize the candidates’ attributes.]
Technical attributes: [Question type:Open] [Format:character] [Valid:1972] [Invalid:234] [Range:-]



f4_wotmcx2_roworder


Variable label: Experiment. The random order the attributes were shown in in the table for [f4_wotmcx2]. Given sequentially, sorted by row number.
Field period: 13.11.2023 - 05.12.2023
Technical description:

[The random order the attributes were shown in in the table for [f4_wotmcx2]. Shows the topics’ rowwise placement, sorted by topic. If the first number is 2 it means that topic 1 (personal relationships) was shown in row number 2, and if the the second number is 4 it means that topic 2 (subject expertise) was shown in row number 4, etc. See [f4_wotmcx1_roworder_seq] for the sequential order, sorted by row number.

1 = Personal relationships. 2 = Subject expertise. 3 = Work experience. 4 = Personality. 5 = Political activity. 6 = Career path.]
Technical attributes: [Question type:Open] [Format:character] [Valid:1972] [Invalid:234] [Range:-]



f4_wotmcx2_roworder_seq


Variable label: Experiment. The random order the attributes were shown in in the table for [f4_wotmcx2]. Given as a topic’s rowwise placement, sorted by topic.
Field period: 13.11.2023 - 05.12.2023
Technical description:

[The random order the attributes were shown in in the table for [f4_wotmcx2]. Shows the topics’ placement, sorted by row number. The first number indicates what topic was shown in the first row, while the next number shows what topic was shown in the second row, etc.

1 = Personal relationships. 2 = Subject expertise. 3 = Work experience. 4 = Personality. 5 = Political activity. 6 = Career path.]
Technical attributes: [Question type:Open] [Format:character] [Valid:1972] [Invalid:234] [Range:-]



f4_wotmcx2_1


Variable label: Agree/disagree: I would like to work under candidate C’s management.
Pre-question text:

Here are two other candidates for the senior management job - candidate C and candidate D - who stand out in the recommendation.

Carefully read the description of these two candidates and consider the questions below.

Candidate C:

f4_wotmcx2_perfor1

f4_wotmcx2_fageks1

f4_wotmcx2_arberf1

f4_wotmcx2_person1

f4_wotmcx2_polakt1

f4_wotmcx2_karvei1

Candidate D:

f4_wotmcx2_perfor2

f4_wotmcx2_fageks2

f4_wotmcx2_arberf2

f4_wotmcx2_person2

f4_wotmcx2_polakt2

f4_wotmcx2_karvei2

To what extent do you agree or disagree with the following statements:
Literal question: I would have liked to work under candidate C’s leadership.
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if the respondent was registered with a value in f4_P6]

[Respondents were shown the candidates’ attributes in a table. The variables were shown in a random order which can be found in [f4_wotmcx2_roworder] and [f4_wotmcx2_roworder_seq]. Asked on the same page as [f4_wotmcx2p].]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 85 3.9% 0.03853128
2 Agree 410 18.6% 0.18585675
3 Agree somewhat 451 20.4% 0.20444243
4 Neither agree nor disagree 491 22.3% 0.22257480
5 Disagree somewhat 299 13.6% 0.13553944
6 Disagree 131 5.9% 0.05938350
7 Strongly disagree 36 1.6% 0.01631913
97 Not answered 303 13.7% 0.13735267
98 Not asked 0 NA


f4_wotmcx2_2


Variable label: Agree/disagree: I would like to work under candidate D’s management.
Pre-question text:

Here are two other candidates for the senior management job - candidate C and candidate D - who stand out in the recommendation.

Carefully read the description of these two candidates and consider the questions below.

Candidate C:

f4_wotmcx2_perfor1

f4_wotmcx2_fageks1

f4_wotmcx2_arberf1

f4_wotmcx2_person1

f4_wotmcx2_polakt1

f4_wotmcx2_karvei1

Candidate D:

f4_wotmcx2_perfor2

f4_wotmcx2_fageks2

f4_wotmcx2_arberf2

f4_wotmcx2_person2

f4_wotmcx2_polakt2

f4_wotmcx2_karvei2

To what extent do you agree or disagree with the following statements:
Literal question: I would have liked to work under candidate D’s leadership.
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if the respondent was registered with a value in f4_P6]

[Respondents were shown the candidates’ attributes in a table. The variables were shown in a random order which can be found in [f4_wotmcx2_roworder] and [f4_wotmcx2_roworder_seq]. Asked on the same page as [f4_wotmcx2p].]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-7]

Value Label Cases Percentage
1 Strongly agree 74 3.4% 0.03354488
2 Agree 368 16.7% 0.16681777
3 Agree somewhat 522 23.7% 0.23662738
4 Neither agree nor disagree 500 22.7% 0.22665458
5 Disagree somewhat 286 13.0% 0.12964642
6 Disagree 113 5.1% 0.05122393
7 Strongly disagree 29 1.3% 0.01314597
97 Not answered 314 14.2% 0.14233908
98 Not asked 0 NA


f4_wotmcx2p


Variable label: All things considered, under which candidate’s leadership would you prefer to work?
Pre-question text:

Here are two other candidates for the senior management job - candidate C and candidate D - who stand out in the recommendation.

Carefully read the description of these two candidates and consider the questions below.

Candidate C:

f4_wotmcx2_perfor1

f4_wotmcx2_fageks1

f4_wotmcx2_arberf1

f4_wotmcx2_person1

f4_wotmcx2_polakt1

f4_wotmcx2_karvei1

Candidate D:

f4_wotmcx2_perfor2

f4_wotmcx2_fageks2

f4_wotmcx2_arberf2

f4_wotmcx2_person2

f4_wotmcx2_polakt2

f4_wotmcx2_karvei2

To what extent do you agree or disagree with the following statements:
Literal question: All things considered, under which candidate’s leadership would you prefer to work?
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if the respondent was registered with a value in f4_P6]

[Respondents were shown the candidates’ attributes in a table. The variables were shown in a random order which can be found in [f4_wotmcx2_roworder] and [f4_wotmcx2_roworder_seq]. Asked on the same page as [f4_wotmcx2].]
Technical attributes: [Question type:Single] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Candidate A 885 40.1% 0.4011786
2 Candidate A 948 43.0% 0.4297371
97 Not answered 373 16.9% 0.1690843
98 Not asked 0 NA


f4_paedf_1


Variable label: Within which field of expertise is your highest completed education?: Law
Pre-question text: Within which field of expertise is your highest completed education?
Literal question: Law
Post-question: You may tick a maximum of two alternatives
Field period: 13.11.2023 - 05.12.2023
Technical description: [Asked if (rekruttert = 4)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2206] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 4 2.6% 0.02614379
0 Not selected 128 83.7% 0.83660131
97 Not answered 21 13.7% 0.13725490
98 Not asked 2053 NA


f4_paedf_2


Variable label: Within which field of expertise is your highest completed education?: Finance/Management
Pre-question text: Within which field of expertise is your highest completed education?
Literal question: Finance/Management
Post-question: You may tick a maximum of two alternatives
Field period: 13.11.2023 - 05.12.2023
Technical description: [Asked if (rekruttert = 4)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2206] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 27 17.6% 0.1764706
0 Not selected 105 68.6% 0.6862745
97 Not answered 21 13.7% 0.1372549
98 Not asked 2053 NA


f4_paedf_3


Variable label: Within which field of expertise is your highest completed education?: Political Science
Pre-question text: Within which field of expertise is your highest completed education?
Literal question: Political Science
Post-question: You may tick a maximum of two alternatives
Field period: 13.11.2023 - 05.12.2023
Technical description: [Asked if (rekruttert = 4)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2206] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 10 6.5% 0.06535948
0 Not selected 122 79.7% 0.79738562
97 Not answered 21 13.7% 0.13725490
98 Not asked 2053 NA


f4_paedf_4


Variable label: Within which field of expertise is your highest completed education?: Other social sciences
Pre-question text: Within which field of expertise is your highest completed education?
Literal question: Other social sciences
Post-question: You may tick a maximum of two alternatives
Field period: 13.11.2023 - 05.12.2023
Technical description: [Asked if (rekruttert = 4)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2206] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 19 12.4% 0.1241830
0 Not selected 113 73.9% 0.7385621
97 Not answered 21 13.7% 0.1372549
98 Not asked 2053 NA


f4_paedf_5


Variable label: Within which field of expertise is your highest completed education?: Medicine
Pre-question text: Within which field of expertise is your highest completed education?
Literal question: Medicine
Post-question: You may tick a maximum of two alternatives
Field period: 13.11.2023 - 05.12.2023
Technical description: [Asked if (rekruttert = 4)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2206] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 12 7.8% 0.07843137
0 Not selected 120 78.4% 0.78431373
97 Not answered 21 13.7% 0.13725490
98 Not asked 2053 NA


f4_paedf_6


Variable label: Within which field of expertise is your highest completed education?: Science/Engineering
Pre-question text: Within which field of expertise is your highest completed education?
Literal question: Science/Engineering
Post-question: You may tick a maximum of two alternatives
Field period: 13.11.2023 - 05.12.2023
Technical description: [Asked if (rekruttert = 4)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2206] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 47 30.7% 0.3071895
0 Not selected 85 55.6% 0.5555556
97 Not answered 21 13.7% 0.1372549
98 Not asked 2053 NA


f4_paedf_7


Variable label: Within which field of expertise is your highest completed education?: The humanities
Pre-question text: Within which field of expertise is your highest completed education?
Literal question: The humanities
Post-question: You may tick a maximum of two alternatives
Field period: 13.11.2023 - 05.12.2023
Technical description: [Asked if (rekruttert = 4)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2206] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 7 4.6% 0.04575163
0 Not selected 125 81.7% 0.81699346
97 Not answered 21 13.7% 0.13725490
98 Not asked 2053 NA


f4_paedf_8


Variable label: Within which field of expertise is your highest completed education?: Journalism/communication
Pre-question text: Within which field of expertise is your highest completed education?
Literal question: Journalism/communication
Post-question: You may tick a maximum of two alternatives
Field period: 13.11.2023 - 05.12.2023
Technical description: [Asked if (rekruttert = 4)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2206] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 2 1.3% 0.0130719
0 Not selected 130 85.0% 0.8496732
97 Not answered 21 13.7% 0.1372549
98 Not asked 2053 NA


f4_paedf_9


Variable label: Within which field of expertise is your highest completed education?: Information technology (IT)
Pre-question text: Within which field of expertise is your highest completed education?
Literal question: Information technology (IT)
Post-question: You may tick a maximum of two alternatives
Field period: 13.11.2023 - 05.12.2023
Technical description: [Asked if (rekruttert = 4)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2206] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 7 4.6% 0.04575163
0 Not selected 125 81.7% 0.81699346
97 Not answered 21 13.7% 0.13725490
98 Not asked 2053 NA


f4_paedf_10


Variable label: Within which field of expertise is your highest completed education?: Other (please specify)
Pre-question text: Within which field of expertise is your highest completed education?
Literal question: Other (please specify)
Post-question: You may tick a maximum of two alternatives
Field period: 13.11.2023 - 05.12.2023
Technical description: [Asked if (rekruttert = 4)]
Technical attributes: [Question type:Multi] [Format:numeric] [Valid:2206] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
1 Selected 19 12.4% 0.1241830
0 Not selected 113 73.9% 0.7385621
97 Not answered 21 13.7% 0.1372549
98 Not asked 2053 NA


f4_paedf_10_other


Variable label: Within which field of expertise is your highest completed education?: Other (please specify)
Pre-question text: Within which field of expertise is your highest completed education?
Literal question: Other (please specify)
Post-question: You may tick a maximum of two alternatives
Field period: 13.11.2023 - 05.12.2023
Technical description:

[Asked if (rekruttert = 4)]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Multi - Other] [Format:character] [Valid:0] [Invalid:2206] [Range:-]



f4_pasnr_1


Variable label: How many years have you worked in: your current position?
Pre-question text: How many years have you worked in…
Literal question: …your current position?
Field period: 13.11.2023 - 05.12.2023
Technical description: [Asked if (rekruttert = 4)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Less than 1 year 9 5.9% 0.05882353
2 1 - 5 years 55 35.9% 0.35947712
3 6 – 10 years 25 16.3% 0.16339869
4 11 – 20 years 26 17.0% 0.16993464
5 More than enn 20 years 16 10.5% 0.10457516
97 Not answered 22 14.4% 0.14379085
98 Not asked 2053 NA


f4_pasnr_2


Variable label: How many years have you worked in: central government (ministry/directorate/inspection authority etc.)?
Pre-question text: How many years have you worked in…
Literal question: …central government (ministry/directorate/inspection authority etc.)?
Field period: 13.11.2023 - 05.12.2023
Technical description: [Asked if (rekruttert = 4)]
Technical attributes: [Question type:Grid] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 Less than 1 year 6 3.9% 0.03921569
2 1 - 5 years 41 26.8% 0.26797386
3 6 – 10 years 20 13.1% 0.13071895
4 11 – 20 years 37 24.2% 0.24183007
5 More than enn 20 years 24 15.7% 0.15686275
97 Not answered 25 16.3% 0.16339869
98 Not asked 2053 NA


f4_avslutt


Variable label: Open: Feedback regarding the survey.
Field period: 13.11.2023 - 05.12.2023
Technical description:

[All respondents asked]

[Text data witheld due to privacy considerations. However, data can be made available for researchers after contacting DIGSSCORE/University of Bergen.]
Technical attributes: [Question type:Open] [Format:character] [Valid:0] [Invalid:2206] [Range:-]



f4_P1


Variable label: Gender
Field period: 13.11.2023 - 05.12.2023
Technical attributes: [Question type: -] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Male 1016 46.1% 0.46056210
2 Female 1108 50.2% 0.50226655
97 Not answered 82 3.7% 0.03717135


f4_P2


Variable label: Region
Field period: 13.11.2023 - 05.12.2023
Technical attributes: [Question type: -] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-6]

Value Label Cases Percentage
1 Oslo 943 42.7% 0.42747053
2 Østlandet 623 28.2% 0.28241160
3 Sørlandet 29 1.3% 0.01314597
4 Vestlandet 200 9.1% 0.09066183
5 Trøndelag 33 1.5% 0.01495920
6 Nord-Norge 71 3.2% 0.03218495
97 Not answered 307 13.9% 0.13916591


f4_P3


Variable label: County
Field period: 13.11.2023 - 05.12.2023
Technical attributes: [Question type: -] [Format:numeric] [Valid:2206] [Invalid:0] [Range:3-54]

Value Label Cases Percentage
3 Oslo 943 42.7% 0.427470535
11 Rogaland 56 2.5% 0.025385313
15 Møre og Romsdal 25 1.1% 0.011332729
18 Nordland 21 1.0% 0.009519492
30 Viken 505 22.9% 0.228921124
34 Innlandet 42 1.9% 0.019038985
38 Vestfold og Telemark 76 3.4% 0.034451496
42 Agder 29 1.3% 0.013145966
46 Vestland 119 5.4% 0.053943790
50 Trøndelag 33 1.5% 0.014959202
54 Troms og Finnmark 50 2.3% 0.022665458
97 Not answered 307 13.9% 0.139165911


f4_P3_2


Variable label: Election district
Field period: 13.11.2023 - 05.12.2023
Technical attributes: [Question type: -] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-19]

Value Label Cases Percentage
1 Akershus 431 19.5% 0.195376247
2 Oslo 943 42.7% 0.427470535
3 Østfold 51 2.3% 0.023118767
4 Vestfold 71 3.2% 0.032184950
5 Hedmark 30 1.4% 0.013599275
6 Oppland 12 0.5% 0.005439710
7 Buskerud 23 1.0% 0.010426111
8 Telemark 5 0.2% 0.002266546
9 Vest-Agder 12 0.5% 0.005439710
10 Aust-Agder 17 0.8% 0.007706256
11 Rogaland 56 2.5% 0.025385313
12 Hordaland 72 3.3% 0.032638259
13 Sogn og Fjordane 47 2.1% 0.021305530
14 Møre og Romsdal 25 1.1% 0.011332729
15 Nord-Trøndelag 6 0.3% 0.002719855
16 Sør-Trøndelag 27 1.2% 0.012239347
17 Nordland 21 1.0% 0.009519492
18 Troms og Finnmark 38 1.7% 0.017225748
19 Finnmark 12 0.5% 0.005439710
97 Not answered 307 13.9% 0.139165911


f4_P3_3


Variable label: Region (trichotomy)
Field period: 13.11.2023 - 05.12.2023
Technical attributes: [Question type: -] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 Oslo 943 42.7% 0.4274705
2 Østlandet 623 28.2% 0.2824116
3 The rest of the country 333 15.1% 0.1509519
97 Not answered 307 13.9% 0.1391659


f4_P4_1


Variable label: Highest level of completed education (condensed)
Field period: 13.11.2023 - 05.12.2023
Technical attributes: [Question type: -] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 No education/elementary school 3 0.1% 0.001461276
2 Upper secondary education 90 4.4% 0.043838285
3 University/University college 1873 91.2% 0.912323429
97 Not answered 87 4.2% 0.042377009
98 Not asked 153 NA


f4_P5_1


Variable label: Year of birth (expanded)
Field period: 13.11.2023 - 05.12.2023
Technical attributes: [Question type: -] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-5]

Value Label Cases Percentage
1 1959 or earlier 243 11.0% 0.11015413
2 1960-1969 721 32.7% 0.32683590
3 1970-1979 609 27.6% 0.27606528
4 1980-1989 323 14.6% 0.14641886
5 1990 or later 154 7.0% 0.06980961
97 Not answered 156 7.1% 0.07071623


f4_P5_2


Variable label: Year of birth (condensed)
Field period: 13.11.2023 - 05.12.2023
Technical attributes: [Question type: -] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-3]

Value Label Cases Percentage
1 1959 or earlier 243 11.0% 0.11015413
2 1960-1989 1653 74.9% 0.74932004
3 1990 or later 154 7.0% 0.06980961
97 Not answered 156 7.1% 0.07071623


f4_P6


Variable label: Administrative level
Field period: 13.11.2023 - 05.12.2023
Technical attributes: [Question type: -] [Format:numeric] [Valid:2206] [Invalid:0] [Range:1-2]

Value Label Cases Percentage
1 Ministry 986 44.7% 0.4469628
2 Directorate 1220 55.3% 0.5530372
3 Municipality / County municipality 0 0.0% 0.0000000
4 Other 0 0.0% 0.0000000
97 Not answered 0 0.0% 0.0000000


f4_tvcpa


Variable label: Currently a public administrator in the central government
Literal question: Certain respondents were after the field period and data delivery discovered as not fitting into the defined target population. That is, not working in public administration in the central government (ministries, directorates, and supervisory authorities). We therefore recommend excluding these respondents when conducting analyses. For more information on the exclusion process and -criteria, please refer to the documentation report.
Technical attributes: [Question type: -] [Format:numeric] [Valid:2206] [Invalid:0] [Range:0-1]

Value Label Cases Percentage
0 Not currently a public administrator in the central government 37 1.7% 0.01677244
1 Currently a public administrator in the central government 2169 98.3% 0.98322756