Replication Data for: Polarization over the Priority of Political Problems (doi:10.7910/DVN/OEZDGT)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
Entire Codebook

Document Description

Citation

Title:

Replication Data for: Polarization over the Priority of Political Problems

Identification Number:

doi:10.7910/DVN/OEZDGT

Distributor:

Harvard Dataverse

Date of Distribution:

2025-02-12

Version:

Bibliographic Citation:

Blumenau, Jack; Lauderdale, Benjamin E., 2025, "Replication Data for: Polarization over the Priority of Political Problems", https://doi.org/10.7910/DVN/OEZDGT, Harvard Dataverse, V1, UNF:6:ZLpp1bqEbXuZMj+5mWfZFg== [fileUNF]

Study Description

Citation

Title:

Replication Data for: Polarization over the Priority of Political Problems

Identification Number:

doi:10.7910/DVN/OEZDGT

Authoring Entity:

Blumenau, Jack (UCL (University College London))

Lauderdale, Benjamin E. (UCL (University College London))

Producer:

Jack Blumenau

Distributor:

Harvard Dataverse

Access Authority:

Jack Blumenau

Depositor:

Blumenau, Jack

Date of Deposit:

2024-04-24

Holdings Information:

https://doi.org/10.7910/DVN/OEZDGT

Study Scope

Keywords:

Social Sciences, experiment

Abstract:

What drives ideological division about political problems? When prioritising which problems are most in need of redress, voters might disagree about the severity of individual outcomes that constitute such problems; the prevalence of those problems; or whether such problems are amenable to solution by government action. We field a large survey experiment in the UK and US and develop a new measurement approach which allows us to evaluate how ideological disagreements change when respondents consider the individual badness, social severity, and priority for government action of a set of 41 political problems. We find that large ideological divergences are observed in beliefs about social severity and priority for government action, not individual problem badness, and only in the US. An important implication of these results is that perceptions of problem prevalence are a key source of polarization over problem-prioritization in the US.

Notes:

This dataset underwent an independent verification process, complying with the AJPS Verification Policy updated June 2023, which replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of the code. The verification process was carried out by the Cornell Center for Social Sciences at Cornell University. The associated article has been awarded the Open Materials Badge. Learn more about the Open Practice Badges from the <a href="https://www.cos.io/">Center for Open Science</a>. <img src="https://socialsciences.cornell.edu/sites/default/files/2024-04/materials_large_color.png" alt="Open Materials Badge " width="60" height="60"> Open Materials Badge

Methodology and Processing

Sources Statement

Data Sources:

Blumenau, Jack; Lauderdale, Benjamin E., 2024, "Replication Data for: Polarization over the Priority of Political Problems", https://doi.org/10.7910/DVN/OEZDGT, Harvard Dataverse

Data Access

Disclaimer:

The American Journal of Political Science and the Cornell Center for Social Sciences are not responsible for the accuracy or quality of data uploaded within the AJPS Dataverse, for the use of those data, or for interpretations or conclusions based on their use.

Other Study Description Materials

File Description--f10141877

File: UCL_January2023_UK_Client.tab

Number of cases: 1763
No. of variables per record: 88
Type of File: text/tab-separated-values

Notes:

UNF:6:S/T8pOaSIyQut/z7ELHqcQ==

File Description--f10141867

File: UCL_January2023_US_Client.tab

Number of cases: 2304
No. of variables per record: 212
Type of File: text/tab-separated-values

Notes:

UNF:6:7L6lEyeAL8bFP49n9z9tJA==

Variable Description

List of Variables:

ID
W8 - Weight
starttime - Interview Start Time
endtime - Interview End Time
voted_ge_2019 - Talking to people about the General Election in December 2019, we have found that a lot of people didn’t manage to vote. How about you – did you manage to vote in the General Election?
pastvote_ge_2019 - Which party did you vote for at the General Election in December 2019?
voted_ge_2019_ni - Talking to people about the General Election in December 2019, we have found that a lot of people didn’t manage to vote. How about you – did you manage to vote in the General Election?
pastvote_ge_2019_ni - Which party did you vote for at the General Election in December 2019?
pastvote_EURef - Past vote 2016 EU referendum
age - Age
profile_gender - Gender
profile_GOR - Region lived
profile_socialgrade_cie - Social Grade (Chief Income Earner) A / B / C1 / C2 / D / E
ethnicity_new - Ethnicity
profile_education_age - Age finished education
profile_education_level - Education qualification (highest attained)
profile_marital_stat - Marital status
profile_work_industry - Type of work you do
profile_work_stat - Employment Status Main
profile_work_type - Work type
mainrandomisation - Initial 3-way split
self_placement_UK - In politics people sometimes talk of left and right. Where would you place yourself on the following scale?
experiment_one_text_a1 - Text saw
experiment_one_text_a2 - Text saw
experiment_one_text_a3 - Text saw
experiment_one_text_a4 - Text saw
experiment_one_text_a5 - Text saw
experiment_one_text_a6 - Text saw
experiment_one_text_b1 - Text saw
experiment_one_text_b2 - Text saw
experiment_one_text_b3 - Text saw
experiment_one_text_b4 - Text saw
experiment_one_text_b5 - Text saw
experiment_one_text_b6 - Text saw
experiment_three_text_a1 - Text saw
experiment_three_text_a2 - Text saw
experiment_three_text_a3 - Text saw
experiment_three_text_a4 - Text saw
experiment_three_text_a5 - Text saw
experiment_three_text_a6 - Text saw
experiment_three_text_b1 - Text saw
experiment_three_text_b2 - Text saw
experiment_three_text_b3 - Text saw
experiment_three_text_b4 - Text saw
experiment_three_text_b5 - Text saw
experiment_three_text_b6 - Text saw
experiment_two_text_a1 - Text saw
experiment_two_text_a2 - Text saw
experiment_two_text_a3 - Text saw
experiment_two_text_a4 - Text saw
experiment_two_text_a5 - Text saw
experiment_two_text_a6 - Text saw
experiment_two_text_b1 - Text saw
experiment_two_text_b2 - Text saw
experiment_two_text_b3 - Text saw
experiment_two_text_b4 - Text saw
experiment_two_text_b5 - Text saw
experiment_two_text_b6 - Text saw
paired_comparison_experiment_one_1 - Which of these do you think is worse?
paired_comparison_experiment_one_2 - Which of these do you think is worse?
paired_comparison_experiment_one_3 - Which of these do you think is worse?
paired_comparison_experiment_one_4 - Which of these do you think is worse?
paired_comparison_experiment_one_5 - Which of these do you think is worse?
paired_comparison_experiment_one_6 - Which of these do you think is worse?
paired_comparison_experiment_two_1 - Which of these do you think is a worse problem in the UK?
paired_comparison_experiment_two_2 - Which of these do you think is a worse problem in the UK?
paired_comparison_experiment_two_3 - Which of these do you think is a worse problem in the UK?
paired_comparison_experiment_two_4 - Which of these do you think is a worse problem in the UK?
paired_comparison_experiment_two_5 - Which of these do you think is a worse problem in the UK?
paired_comparison_experiment_two_6 - Which of these do you think is a worse problem in the UK?
paired_comparison_experiment_three_1 - Which of these problems should be the higher priority for the UK government to try to fix?
paired_comparison_experiment_three_2 - Which of these problems should be the higher priority for the UK government to try to fix?
paired_comparison_experiment_three_3 - Which of these problems should be the higher priority for the UK government to try to fix?
paired_comparison_experiment_three_4 - Which of these problems should be the higher priority for the UK government to try to fix?
paired_comparison_experiment_three_5 - Which of these problems should be the higher priority for the UK government to try to fix?
paired_comparison_experiment_three_6 - Which of these problems should be the higher priority for the UK government to try to fix?
problemToShow1_text - Text saw
problemToShow2_text - Text saw
problemToShow3_text - Text saw
grouponesplit - Two-way split (if mainrandomisation=1)
government_efficacy - For each of the problems listed below, how easy would it be for government action to reduce the problem in the UK?
government_efficacy1 - $problemToShow1_text.raw
government_efficacy2 - $problemToShow2_text.raw
government_efficacy3 - $problemToShow3_text.raw
problem_prevalence - For each of the problems listed below, how often do you think these occur in the UK?
problem_prevalence1 - $problemToShow1_text.raw
problem_prevalence2 - $problemToShow2_text.raw
problem_prevalence3 - $problemToShow3_text.raw
ID
weight_pol - Weight
starttime - When did you start this qx (epoch seconds)?
endtime - When did you complete this qx (epoch seconds)?
age - What is your age?
gender - Are you…?
region - In which census region do you live?
educ - What is the highest level of education you have completed?
race - What racial or ethnic group best describes you?
presvote20post - Who did you vote for in the election for President in 2020?
profile_marstat_2018_r_1 - Married
profile_marstat_2018_r_2 - Civil Partnership
profile_marstat_2018_r_3 - Living together, not married or civil partnership
profile_marstat_2018_r_4 - In a relationship, not living together
profile_marstat_2018_r_5 - NET: In a relationship
profile_marstat_2018_r_6 - Single
profile_marstat_2018_r_7 - Divorced
profile_marstat_2018_r_8 - Widowed
profile_marstat_2018_r_9 - Separated
profile_marstat_2018_r_10 - Other
profile_marstat_2018_r_11 - Prefer not to say
parentyn_r_1 - Younger than 18
parentyn_r_2 - 18 or over
parentyn_r_3 - NET: Any age
parentyn_r_4 - Not a parent / guardian
parentyn_r_5 - Don't know / Prefer not to say
profile_gross_household_r - Income
mainrandomisation - Initial 3-way split
self_placement_US - In politics people sometimes talk of liberals and conservatives. Where would you place yourself on the following scale?
experiment_one_text_a1 - Text saw
EXPER2X - Text saw
EXPER2Y - Text saw
EXPER2Z - Text saw
experiment_one_text_a2 - Text saw
EXPER2U - Text saw
EXPER2V - Text saw
EXPER2W - Text saw
experiment_one_text_a3 - Text saw
EXPER2R - Text saw
EXPER2S - Text saw
EXPER2T - Text saw
experiment_one_text_a4 - Text saw
EXPER2O - Text saw
EXPER2P - Text saw
EXPER2Q - Text saw
experiment_one_text_a5 - Text saw
EXPER2L - Text saw
EXPER2M - Text saw
EXPER2N - Text saw
experiment_one_text_a6 - Text saw
EXPER2I - Text saw
EXPER2J - Text saw
EXPER2K - Text saw
experiment_one_text_b1 - Text saw
EXPER2F - Text saw
EXPER2G - Text saw
EXPER2H - Text saw
experiment_one_text_b2 - Text saw
EXPER2C - Text saw
EXPER2D - Text saw
EXPER2E - Text saw
experiment_one_text_b3 - Text saw
EXPER29 - Text saw
EXPER2A - Text saw
EXPER2B - Text saw
experiment_one_text_b4 - Text saw
EXPER26 - Text saw
EXPER27 - Text saw
EXPER28 - Text saw
experiment_one_text_b5 - Text saw
EXPER23 - Text saw
EXPER24 - Text saw
EXPER25 - Text saw
experiment_one_text_b6 - Text saw
EXPER20 - Text saw
EXPER21 - Text saw
EXPER22 - Text saw
experiment_three_text_a1 - Text saw
EXPER1X - Text saw
EXPER1Y - Text saw
EXPER1Z - Text saw
experiment_three_text_a2 - Text saw
EXPER1U - Text saw
EXPER1V - Text saw
EXPER1W - Text saw
experiment_three_text_a3 - Text saw
EXPER1R - Text saw
EXPER1S - Text saw
EXPER1T - Text saw
experiment_three_text_a4 - Text saw
EXPER1O - Text saw
EXPER1P - Text saw
EXPER1Q - Text saw
experiment_three_text_a5 - Text saw
EXPER1L - Text saw
EXPER1M - Text saw
EXPER1N - Text saw
experiment_three_text_a6 - Text saw
EXPER1I - Text saw
EXPER1J - Text saw
EXPER1K - Text saw
experiment_three_text_b1 - Text saw
EXPER1F - Text saw
EXPER1G - Text saw
EXPER1H - Text saw
experiment_three_text_b2 - Text saw
EXPER1C - Text saw
EXPER1D - Text saw
EXPER1E - Text saw
experiment_three_text_b3 - Text saw
EXPER19 - Text saw
EXPER1A - Text saw
EXPER1B - Text saw
experiment_three_text_b4 - Text saw
EXPER16 - Text saw
EXPER17 - Text saw
EXPER18 - Text saw
experiment_three_text_b5 - Text saw
EXPER13 - Text saw
EXPER14 - Text saw
EXPER15 - Text saw
experiment_three_text_b6 - Text saw
EXPER10 - Text saw
EXPER11 - Text saw
EXPER12 - Text saw
experiment_two_text_a1 - Text saw
EXPERX - Text saw
EXPERY - Text saw
EXPERZ - Text saw
experiment_two_text_a2 - Text saw
EXPERU - Text saw
EXPERV - Text saw
EXPERW - Text saw
experiment_two_text_a3 - Text saw
EXPERR - Text saw
EXPERS - Text saw
EXPERT - Text saw
experiment_two_text_a4 - Text saw
EXPERO - Text saw
EXPERP - Text saw
EXPERQ - Text saw
experiment_two_text_a5 - Text saw
EXPERL - Text saw
EXPERM - Text saw
EXPERN - Text saw
experiment_two_text_a6 - Text saw
EXPERI - Text saw
EXPERJ - Text saw
EXPERK - Text saw
experiment_two_text_b1 - Text saw
EXPERF - Text saw
EXPERG - Text saw
EXPERH - Text saw
experiment_two_text_b2 - Text saw
EXPERC - Text saw
EXPERD - Text saw
EXPERE - Text saw
experiment_two_text_b3 - Text saw
EXPER9 - Text saw
EXPERA - Text saw
EXPERB - Text saw
experiment_two_text_b4 - Text saw
EXPER6 - Text saw
EXPER7 - Text saw
EXPER8 - Text saw
experiment_two_text_b5 - Text saw
EXPER3 - Text saw
EXPER4 - Text saw
EXPER5 - Text saw
experiment_two_text_b6 - Text saw
EXPER0 - Text saw
EXPER1 - Text saw
EXPER2 - Text saw
paired_comparison_experiment_one_1 - Which of these do you think is worse?
paired_comparison_experiment_one_2 - Which of these do you think is worse?
paired_comparison_experiment_one_3 - Which of these do you think is worse?
paired_comparison_experiment_one_4 - Which of these do you think is worse?
paired_comparison_experiment_one_5 - Which of these do you think is worse?
paired_comparison_experiment_one_6 - Which of these do you think is worse?
paired_comparison_experiment_two_1 - Which of these do you think is a worse problem in the US?
paired_comparison_experiment_two_2 - Which of these do you think is a worse problem in the US?
paired_comparison_experiment_two_3 - Which of these do you think is a worse problem in the US?
paired_comparison_experiment_two_4 - Which of these do you think is a worse problem in the US?
paired_comparison_experiment_two_5 - Which of these do you think is a worse problem in the US?
paired_comparison_experiment_two_6 - Which of these do you think is a worse problem in the US?
paired_comparison_experiment_three_1 - Which of these problems should be the higher priority for the US government to try to fix?
paired_comparison_experiment_three_2 - Which of these problems should be the higher priority for the US government to try to fix?
paired_comparison_experiment_three_3 - Which of these problems should be the higher priority for the US government to try to fix?
paired_comparison_experiment_three_4 - Which of these problems should be the higher priority for the US government to try to fix?
paired_comparison_experiment_three_5 - Which of these problems should be the higher priority for the US government to try to fix?
paired_comparison_experiment_three_6 - Which of these problems should be the higher priority for the US government to try to fix?
problemToShow1_text - Text saw
PROBL6 - Text saw
PROBL7 - Text saw
PROBL8 - Text saw
problemToShow2_text - Text saw
PROBL3 - Text saw
PROBL4 - Text saw
PROBL5 - Text saw
problemToShow3_text - Text saw
PROBL0 - Text saw
PROBL1 - Text saw
PROBL2 - Text saw
grouponesplit - Two-way split (if mainrandomisation=1)
government_efficacy - For each of the problems listed below, how easy would it be for government action to reduce the problem in the UK?
government_efficacy1 - $problemToShow1_text.raw
government_efficacy2 - $problemToShow2_text.raw
government_efficacy3 - $problemToShow3_text.raw
problem_prevalence - For each of the problems listed below, how often do you think these occur in the UK?
problem_prevalence1 - $problemToShow1_text.raw
problem_prevalence2 - $problemToShow2_text.raw
problem_prevalence3 - $problemToShow3_text.raw

Variables

f10141877 Location:

Summary Statistics: Mean 882.0; Max. 1763.0; Valid 1763.0; StDev 509.07857939614786; Min. 1.0

Variable Format: numeric

Notes: UNF:6:W19RRMyDxzGFAMnZ7jYMMA==

Weight

f10141877 Location:

Summary Statistics: Min. 0.503232717; Valid 1763.0; Max. 4.448583243; StDev 0.3532019318759524; Mean 0.9999999999863869

Variable Format: numeric

Notes: UNF:6:AXl+alw+JaBTHf8pbfYqUQ==

Interview Start Time

f10141877 Location:

Variable Format: character

Notes: UNF:6:2ZK16TS6Zmd7R5f55LM+7w==

Interview End Time

f10141877 Location:

Variable Format: character

Notes: UNF:6:2ojKDw01gmok0wv85Th19g==

Talking to people about the General Election in December 2019, we have found that a lot of people didn’t manage to vote. How about you – did you manage to vote in the General Election?

f10141877 Location:

Value	Label	Frequency
99.	Don’t know	23
1.	Yes, voted	1357
2.	No, did not vote	383
998.	Skipped	0
999.	Not Asked	0

Summary Statistics: Valid 1763.0; Max. 99.0; StDev 11.1059983714398; Min. 1.0; Mean 2.4957458876914305;

Variable Format: numeric

Notes: UNF:6:aMw4hizk/JylKgv6rh1b0w==

Which party did you vote for at the General Election in December 2019?

f10141877 Location:

Value	Label	Frequency
999.	Not Asked	0
1.	Conservative	570
998.	Skipped	0
7.	Green	36
4.	Scottish National Party (SNP)	52
2.	Labour	416
6.	Brexit Party	25
99.	Don't know	47
5.	Plaid Cymru	9
98.	Other	57
3.	Liberal Democrat	145

Summary Statistics: Valid 1357.0; Min. 1.0; StDev 25.703899747237216; Mean 9.381724392041251; Max. 99.0;

Variable Format: numeric

Notes: UNF:6:m3QyWtklvwsyAfVDSbk2ow==

Talking to people about the General Election in December 2019, we have found that a lot of people didn’t manage to vote. How about you – did you manage to vote in the General Election?

f10141877 Location:

Value	Label	Frequency
99.	Don’t know	3
999.	Not Asked	0
1.	Yes, voted	122
2.	No, did not vote	26
998.	Skipped	1612

Summary Statistics: Max. 998.0; Min. 1.0; StDev 278.52082487704945; Valid 1763.0; Mean 912.7889960294945

Variable Format: numeric

Notes: UNF:6:X1wa1xWcDHhPMudIctVYpg==

Which party did you vote for at the General Election in December 2019?

f10141877 Location:

Value	Label	Frequency
99.	Don't know	2
1.	DUP	9
5.	Alliance Party	11
999.	Not Asked	0
2.	Sinn Fein	8
998.	Skipped	1725
4.	UUP	1
98.	Other	3
3.	SDLP	4

Summary Statistics: StDev 142.8043306829808; Max. 998.0; Min. 1.0; Mean 976.8224617129893; Valid 1763.0

Variable Format: numeric

Notes: UNF:6:BLVA8f4DFAuU5/cJ8Tsilw==

Past vote 2016 EU referendum

f10141877 Location:

Value	Label	Frequency
2.	I voted to Leave	686
4.	Can’t remember	38
1.	I voted to Remain	691
3.	I did not vote	348
9.	Not Asked	0
8.	Skipped	0

Summary Statistics: Mean 1.8485536018150879; Valid 1763.0; Max. 4.0; StDev 0.8080763623027829; Min. 1.0

Variable Format: numeric

Notes: UNF:6:bokG2P5BDwXzC+rwn1Zqhg==

Age

f10141877 Location:

Value	Label	Frequency	Text
-9.	Not Asked	0
-8.	Skipped	0

Summary Statistics: Max. 92.0; StDev 16.710257206857595; Min. 18.0; Mean 49.65570051049364; Valid 1763.0;

Variable Format: numeric

Notes: UNF:6:eEM/1T+4uckqPtf9u7mkLA==

Gender

f10141877 Location:

Value	Label	Frequency
2.	Female	956
9.	Not Asked	0
8.	Skipped	0
1.	Male	807

Summary Statistics: Min. 1.0; StDev 0.4983524587564931; Max. 2.0; Valid 1763.0; Mean 1.5422575155984122;

Variable Format: numeric

Notes: UNF:6:tMhKVzd2m/5zp9qVvQIa7A==

Region lived

f10141877 Location:

Value	Label	Frequency
4.	East Midlands	144
7.	London	189
11.	Scotland	144
2.	North West	186
3.	Yorkshire and the Humber	148
8.	South East	250
13.	Non UK & Invalid	0
5.	West Midlands	144
1.	North East	80
98.	Skipped	0
6.	East of England	161
9.	South West	169
10.	Wales	94
99.	Not Asked	0
12.	Northern Ireland	54

Summary Statistics: Valid 1763.0; Max. 12.0; StDev 3.0679512259975836; Mean 6.338060124787295; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:Vmshem8tJUb4hsFEZUPO9Q==

Social Grade (Chief Income Earner) A / B / C1 / C2 / D / E

f10141877 Location:

Value	Label	Frequency
6.	E	189
98.	Skipped	0
5.	D	209
3.	C1	501
7.	Refused	0
1.	A	225
4.	C2	329
8.	Unknown	0
2.	B	310
99.	Not Asked	0

Summary Statistics: Min. 1.0; StDev 1.4881126870658379; Max. 6.0; Valid 1763.0; Mean 3.314237095859333

Variable Format: numeric

Notes: UNF:6:ykVs5f3SawxtH4J4So6bZQ==

Ethnicity

f10141877 Location:

Value	Label	Frequency
17.	Arab	2
6.	White and Black African	4
15.	Caribbean	6
99.	Not Asked	0
18.	Any other ethnic group	2
12.	Chinese	6
2.	Irish	31
98.	Skipped	2
11.	Bangladeshi	7
14.	African	9
4.	Any other White background	56
7.	White and Asian	17
3.	Gypsy or Irish Traveller	2
10.	Pakistani	13
9.	Indian	16
19.	Prefer not to say	24
8.	Any other Mixed / Multiple ethnic background	5
1.	English / Welsh / Scottish / Northern Irish / British	1538
16.	Any other Black / African / Caribbean background	3
5.	White and Black Caribbean	10
13.	Any other Asian background	10

Summary Statistics: StDev 4.503796088748692; Mean 2.043108338060126; Max. 98.0; Valid 1763.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:3QrNE6gUdUTPW8B6BTw1SQ==

Age finished education

f10141877 Location:

Value	Label	Frequency
99.	Not Asked	0
6.	Still at school/Full time student	67
97.	Not applicable	0
1.	15 or under	163
7.	Can't remember	18
5.	20+	637
98.	Skipped	17
3.	17-18	393
2.	16	363
4.	19	105

Summary Statistics: StDev 9.355333830210231; Mean 4.462280204197386; Min. 1.0; Max. 98.0; Valid 1763.0;

Variable Format: numeric

Notes: UNF:6:au1LVR7dCDOoBC0NIp5i/Q==

Education qualification (highest attained)

f10141877 Location:

Value	Label	Frequency
6.	City & Guilds certificate - advanced	63
99.	Not Asked	0
16.	University or CNAA first degree (e.g. BA, B.Sc, B.Ed)	405
4.	Clerical and commercial	34
1.	No formal qualifications	88
15.	University diploma	62
11.	GCE A level or Higher Certificate	245
19.	Don't know	27
10.	Scottish Ordinary/ Lower Certificate	13
98.	Skipped	1
5.	City & Guilds certificate	81
20.	Prefer not to say	37
12.	Scottish Higher Certificate	24
18.	Other technical, professional or higher qualification	174
9.	CSE grade 1, GCE O level, GCSE, School Certificate	201
14.	Teaching qualification (not degree)	29
7.	ONC	12
2.	Youth training certificate/skillseekers	14
13.	Nursing qualification (e.g. SEN, SRN, SCM, RGN)	32
17.	University or CNAA higher degree (e.g. M.Sc, Ph.D)	155
8.	CSE grades 2-5	34
3.	Recognised trade apprenticeship completed	32

Summary Statistics: Valid 1763.0; Max. 98.0; Mean 12.342030629608617; StDev 5.546662827225448; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:kJEJVxz2YRMc2QQMaEsaaw==

Marital status

f10141877 Location:

Value	Label	Frequency
3.	Separated (after being married)	30
1.	Married	769
5.	Widowed	66
4.	Divorced	125
7.	Civil Partnership	14
6.	Never married	474
2.	Living as married	235
8.	Skipped	50
9.	Not Asked	0

Summary Statistics: StDev 2.3115103447499634; Min. 1.0; Mean 3.120249574588753; Max. 8.0; Valid 1763.0

Variable Format: numeric

Notes: UNF:6:TgqvbOix7zgVOb6eg4VVoA==

Type of work you do

f10141877 Location:

Value	Label	Frequency
4.	Automotive	13
13.	Media/Publishing/Entertainment	8
14.	Medical/Health Services	69
16.	Retail	71
8.	Education	78
11.	Government/Military/Public Service	75
1.	Advertising/Marketing/PR	10
2.	Aerospace	3
12.	Hospitality/Recreation	26
19.	Travel/Transportation	28
15.	Pharmaceuticals	1
20.	Other	219
5.	Computers/Electronics	30
3.	Agriculture/Chemicals/Forest Products	6
9.	Energy/Mining	4
6.	Construction	28
10.	Finance/Insurance/Real Estate	48
99.	Not Asked	0
21.	Have never worked	22
98.	Skipped	978
7.	Consumer Goods	10
17.	Service	20
18.	Telecommunications/Networking	16

Summary Statistics: Valid 1763.0; StDev 41.93028954587956; Min. 1.0; Max. 98.0; Mean 60.588769143505296

Variable Format: numeric

Notes: UNF:6:u7z542l63LVwJ2HJoQgVEA==

Employment Status Main

f10141877 Location:

Value	Label	Frequency
6.	Unemployed	48
2.	Working part time (8-29 hours a week)	217
8.	Other	56
3.	Working part time (Less than 8 hours a week)	19
5.	Retired	444
7.	Not working	104
1.	Working full time (30 or more hours per week)	798
98.	Skipped	0
4.	Full time student	77
99.	Not Asked	0

Summary Statistics: Min. 1.0; StDev 2.229454525021378; Mean 2.995462280204193; Valid 1763.0; Max. 8.0

Variable Format: numeric

Notes: UNF:6:Me/k7zg2rYAA/+E8oR4R6Q==

Work type

f10141877 Location:

Value	Label	Frequency
9.	Have never worked	54
99.	Not Asked	0
98.	Skipped	0
5.	Foreman or Supervisor of Other Workers (e.g. building site foreman, supervisor of cleaning workers)	30
2.	Manager or Senior Administrator / intermediate managerial / professional (e.g. company director, finance manager, person	269
8.	Other	176
6.	Skilled Manual Work (e.g. plumber, electrician, fitter)	129
1.	Professional or higher technical work / higher managerial - work that requires at least degree-level qualifications (e.g	350
4.	Sales or Services (e.g. commercial traveller, shop assistant, nursery nurse, care assistant, paramedic)	140
3.	Clerical/junior managerial/professional/administrator (e.g. office worker, student doctor, sales person, clerk, secretar	414
7.	Semi-Skilled or Unskilled Manual Work (e.g. machine operator, assembler, postman, waitress, cleaner, labourer, driver, b	201

Summary Statistics: Min. 1.0; Valid 1763.0; StDev 2.515598775159631; Mean 3.9222915484968786; Max. 9.0

Variable Format: numeric

Notes: UNF:6:092/GieUEJIrfuj97eLVTA==

Initial 3-way split

f10141877 Location:

Value	Label	Frequency	Text
-8.	Skipped	0
-9.	Not Asked	0

Summary Statistics: StDev 0.8133831855628578; Min. 1.0; Valid 1763.0; Max. 3.0; Mean 2.012478729438458;

Variable Format: numeric

Notes: UNF:6:2B1P4GPUw3I+nENDMhCfiQ==

In politics people sometimes talk of left and right. Where would you place yourself on the following scale?

f10141877 Location:

Value	Label	Frequency
2.	Left	222
3.	Slightly left	262
7.	Strongly right	39
4.	Moderate	791
8.	Skipped	0
9.	Not Asked	0
6.	Right	125
1.	Strongly left	94
5.	Slightly right	230

Summary Statistics: Max. 7.0; Min. 1.0; Valid 1763.0; StDev 1.3027264711004227; Mean 3.7782189449801447

Variable Format: numeric

Notes: UNF:6:/bF61aLsHg1vKCdIrbPCBA==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:WqBV9wNNrXwrgDYdE5K1lw==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:taK0Nu3y6WSlyo+2BWu1zA==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:BrydpbPtFgsGtq/jN4yUMw==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:3CakJiMdxH/ZwUcMFuma+g==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:UK9eSmxP4c5bKcvWRKK07A==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:PLrsHw1wLybvcZqU2CETOw==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:Aw3HljDgbpp/Y1JCO40Pww==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:7seB8hKvEBlkHjHuMe7r9Q==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:dtMc68Mb7gU7CHEKjfz6Yg==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:+qNhLxlsvcSW61rKp+L6vA==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:s5GT63cMu734hpE6s5oUmA==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:7lkdJUknrFvgRKgoFcLKHg==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:qaYJcboJYTJWFNP6dyk61g==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:yy9aDrlr2Ic/0K1kivV9ew==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:wTMyAplt8XDwfEjHvYJE5A==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:a67KkbS2I73YLHpV5cWSgA==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:Vizjr7iAWR0O8XO2we1mkg==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:KmvYYC8wodPk2USgg2or8g==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:arAFORRoxLJEsSvknVSo+Q==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:VFH1ETbWpSKRlLX/HNNsRA==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:SsU81jYsBYf2PXkX2QbkNQ==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:JR0Tc4cXmu7fUfQ+8wmWFw==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:wOhKuyFO3AyMiTKFR5zG2g==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:RT3/vfODd/mO8N6b4oVl3Q==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:v1R1RuZyox8hrapZtlOtUw==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:rjLO0dh9AdZh43DseLM6+w==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:vaFUY4FjOLHzWRhslmjIaw==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:hoToCKKCeROLdb5jz6Ol/w==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:zFxK3Pnf3ikW9cdscBHKxQ==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:fHjyLVyLrCecnBH1U/5wjA==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:SD6WpMeLRsgIh8CB96GL0w==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:4two/crmBcVKMgrTa7lB2Q==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:QFOStfjvAWUAIhkXH45Shw==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:hmB6yMlu+3MwHMk/6dxf5A==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:p5EqUu5L7J6G881rcCLYyg==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:NBFv+6JJ95X28lIKlwA/KQ==

Which of these do you think is worse?

f10141877 Location:

Value	Label	Frequency
1.	$experiment_one_text_a1	193
9.	Not Asked	1191
8.	Skipped	0
2.	$experiment_one_text_b1	217
3.	They are about the same	162

Summary Statistics: Min. 1.0; Max. 9.0; Mean 6.711287577992059; StDev 3.333696616552443; Valid 1763.0

Variable Format: numeric

Notes: UNF:6:oxP528pRuX1oNuZkd5i3Cg==

Which of these do you think is worse?

f10141877 Location:

Value	Label	Frequency
8.	Skipped	0
3.	They are about the same	142
9.	Not Asked	1191
2.	$experiment_one_text_b2	211
1.	$experiment_one_text_a2	219

Summary Statistics: Max. 9.0; StDev 3.3707935999503444; Valid 1763.0; Mean 6.6851956891661946; Min. 1.0

Variable Format: numeric

Notes: UNF:6:oJr7g1K92sCUW1cDzDp+Ng==

Which of these do you think is worse?

f10141877 Location:

Value	Label	Frequency
3.	They are about the same	133
9.	Not Asked	1191
2.	$experiment_one_text_b3	204
8.	Skipped	0
1.	$experiment_one_text_a3	235

Summary Statistics: Max. 9.0; StDev 3.391013436136149; Mean 6.671015314804312; Min. 1.0; Valid 1763.0

Variable Format: numeric

Notes: UNF:6:m2bgGrfnswgyZmP5kqigXg==

Which of these do you think is worse?

f10141877 Location:

Value	Label	Frequency
1.	$experiment_one_text_a4	212
8.	Skipped	0
9.	Not Asked	1191
2.	$experiment_one_text_b4	228
3.	They are about the same	132

Summary Statistics: StDev 3.3717284287793214; Valid 1763.0; Max. 9.0; Min. 1.0; Mean 6.683494044242768

Variable Format: numeric

Notes: UNF:6:zZNQN/YXiPNAICvWWK0HYg==

Which of these do you think is worse?

f10141877 Location:

Value	Label	Frequency
2.	$experiment_one_text_b5	212
8.	Skipped	0
3.	They are about the same	101
9.	Not Asked	1191
1.	$experiment_one_text_a5	259

Summary Statistics: Max. 9.0; Min. 1.0; StDev 3.4337051904127756; Valid 1763.0; Mean 6.639251276233692;

Variable Format: numeric

Notes: UNF:6:sQhgPexBRZ6W2ocN7m25gQ==

Which of these do you think is worse?

f10141877 Location:

Value	Label	Frequency
3.	They are about the same	117
2.	$experiment_one_text_b6	227
1.	$experiment_one_text_a6	228
9.	Not Asked	1191
8.	Skipped	0

Summary Statistics: Mean 6.665910380034032; StDev 3.3961169331338787; Valid 1763.0; Max. 9.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:mZucO2ySkl2Ak7boXA9Gcg==

Which of these do you think is a worse problem in the UK?

f10141877 Location:

Value	Label	Frequency
1.	$experiment_two_text_a1	202
2.	$experiment_two_text_b1	230
9.	Not Asked	1166
3.	They are about the same	165
8.	Skipped	0

Summary Statistics: Max. 9.0; StDev 3.373794731663939; Min. 1.0; Valid 1763.0; Mean 6.608621667612023

Variable Format: numeric

Notes: UNF:6:Z7HtJW1LxqxNDfngasDn4w==

Which of these do you think is a worse problem in the UK?

f10141877 Location:

Value	Label	Frequency
8.	Skipped	0
9.	Not Asked	1166
2.	$experiment_two_text_b2	231
1.	$experiment_two_text_a2	215
3.	They are about the same	151

Summary Statistics: StDev 3.394544015004033; Valid 1763.0; Min. 1.0; Mean 6.59330686330119; Max. 9.0

Variable Format: numeric

Notes: UNF:6:/pnRchmm2m85ye4y7J4QgA==

Which of these do you think is a worse problem in the UK?

f10141877 Location:

Value	Label	Frequency
3.	They are about the same	138
2.	$experiment_two_text_b3	237
9.	Not Asked	1166
1.	$experiment_two_text_a3	222
8.	Skipped	0

Summary Statistics: Valid 1763.0; Mean 6.581962563811683; StDev 3.409350367145184; Min. 1.0; Max. 9.0

Variable Format: numeric

Notes: UNF:6:xwN1aCbbwHjUJI2LjClwEw==

Which of these do you think is a worse problem in the UK?

f10141877 Location:

Value	Label	Frequency
9.	Not Asked	1166
8.	Skipped	0
1.	$experiment_two_text_a4	221
3.	They are about the same	146
2.	$experiment_two_text_b4	230

Summary Statistics: Min. 1.0; Mean 6.587067498581965; Valid 1763.0; StDev 3.4030587445616742; Max. 9.0

Variable Format: numeric

Notes: UNF:6:VJhzrlUrVa91oSuJbTGvTg==

Which of these do you think is a worse problem in the UK?

f10141877 Location:

Value	Label	Frequency
3.	They are about the same	149
2.	$experiment_two_text_b5	212
1.	$experiment_two_text_a5	236
8.	Skipped	0
9.	Not Asked	1166

Summary Statistics: Max. 9.0; Mean 6.58026091888826; StDev 3.4137161638982914; Min. 1.0; Valid 1763.0

Variable Format: numeric

Notes: UNF:6:/MORiF+1LI+i3QAg7SBVBQ==

Which of these do you think is a worse problem in the UK?

f10141877 Location:

Value	Label	Frequency
2.	$experiment_two_text_b6	234
9.	Not Asked	1166
1.	$experiment_two_text_a6	216
8.	Skipped	0
3.	They are about the same	147

Summary Statistics: Mean 6.590470788428813; Min. 1.0; StDev 3.398129944860795; Valid 1763.0; Max. 9.0;

Variable Format: numeric

Notes: UNF:6:B/kD21qw9M0y2q1u6jiTDA==

Which of these problems should be the higher priority for the UK government to try to fix?

f10141877 Location:

Value	Label	Frequency
8.	Skipped	0
2.	$experiment_three_text_b1	195
1.	$experiment_three_text_a1	217
3.	They are about the same	182
9.	Not Asked	1169

Summary Statistics: StDev 3.3709930009227875; Max. 9.0; Min. 1.0; Valid 1763.0; Mean 6.621667612024956

Variable Format: numeric

Notes: UNF:6:LOz5VFie/FJfyEZH9CoFeA==

Which of these problems should be the higher priority for the UK government to try to fix?

f10141877 Location:

Value	Label	Frequency
8.	Skipped	0
3.	They are about the same	139
2.	$experiment_three_text_b2	231
9.	Not Asked	1169
1.	$experiment_three_text_a2	224

Summary Statistics: Max. 9.0; Valid 1763.0; Min. 1.0; Mean 6.59330686330119; StDev 3.4065604914554304

Variable Format: numeric

Notes: UNF:6:RN8fcvqukaxyueQeV5tFJg==

Which of these problems should be the higher priority for the UK government to try to fix?

f10141877 Location:

Value	Label	Frequency
3.	They are about the same	132
2.	$experiment_three_text_b3	226
8.	Skipped	0
9.	Not Asked	1169
1.	$experiment_three_text_a3	236

Summary Statistics: Valid 1763.0; StDev 3.4214670766216138; Mean 6.582529778786162; Max. 9.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:dnpDRMydi8jnp8MWxTX/tg==

Which of these problems should be the higher priority for the UK government to try to fix?

f10141877 Location:

Value	Label	Frequency
1.	$experiment_three_text_a4	238
2.	$experiment_three_text_b4	218
3.	They are about the same	138
8.	Skipped	0
9.	Not Asked	1169

Summary Statistics: StDev 3.419088484273239; Min. 1.0; Max. 9.0; Valid 1763.0; Mean 6.58479863868406

Variable Format: numeric

Notes: UNF:6:h4NqPlt5pDiUKUBmwFIK4g==

Which of these problems should be the higher priority for the UK government to try to fix?

f10141877 Location:

Value	Label	Frequency
9.	Not Asked	1169
8.	Skipped	0
3.	They are about the same	139
2.	$experiment_three_text_b5	219
1.	$experiment_three_text_a5	236

Summary Statistics: Mean 6.586500283607487; Min. 1.0; StDev 3.41672114387461; Max. 9.0; Valid 1763.0

Variable Format: numeric

Notes: UNF:6:+5muCK3rRsaSAh5R6n5qnA==

Which of these problems should be the higher priority for the UK government to try to fix?

f10141877 Location:

Value	Label	Frequency
8.	Skipped	0
9.	Not Asked	1169
1.	$experiment_three_text_a6	232
2.	$experiment_three_text_b6	233
3.	They are about the same	129

Summary Statistics: Min. 1.0; Max. 9.0; Mean 6.583096993760636; Valid 1763.0; StDev 3.420126074703069;

Variable Format: numeric

Notes: UNF:6:pxaAPI5kMA1ZrpIbxAxL8g==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:JpJ7vo7keZVECzSmayJCPw==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:kWP6tUAFK4WxRAhrP26UxA==

Text saw

f10141877 Location:

Variable Format: character

Notes: UNF:6:PypkqMzD4ygMwFZzADhFDg==

Two-way split (if mainrandomisation=1)

f10141877 Location:

Value	Label	Frequency
1.	government_efficacy	285
9.	Not Asked	1191
8.	Skipped	0
2.	problem_prevalence	287

Summary Statistics: Min. 1.0; StDev 3.522973493972182; Mean 6.567214974475326; Valid 1763.0; Max. 9.0

Variable Format: numeric

Notes: UNF:6:SyjbDsImQnoq5wOJrik4Nw==

For each of the problems listed below, how easy would it be for government action to reduce the problem in the UK?

f10141877 Location:

Value	Label	Frequency	Text
8.	Skipped	0
9.	Not Asked	881

Summary Statistics: StDev 4.001134269128159; Mean 4.997731140102096; Valid 1763.0; Min. 1.0; Max. 9.0

Variable Format: numeric

Notes: UNF:6:YAnU0SCFvHVVNi4zZ4ylcQ==

$problemToShow1_text.raw

f10141877 Location:

Value	Label	Frequency
98.	Skipped	0
5.	4	57
7.	6	90
9.	8	66
10.	9	41
8.	7	120
3.	2	66
1.	0 - Completely impossible	57
11.	10 - Extremely easy	88
99.	Not Asked	881
2.	1	32
6.	5	191
4.	3	74

Summary Statistics: Max. 99.0; Mean 52.65286443562114; Min. 1.0; StDev 46.375567666715256; Valid 1763.0;

Variable Format: numeric

Notes: UNF:6:jpLEbWqf8Vqyspwe4EUC+A==

$problemToShow2_text.raw

f10141877 Location:

Value	Label	Frequency
10.	9	24
9.	8	75
2.	1	29
11.	10 - Extremely easy	109
7.	6	81
6.	5	203
1.	0 - Completely impossible	73
8.	7	98
5.	4	56
3.	2	68
98.	Skipped	0
4.	3	66
99.	Not Asked	881

Summary Statistics: Valid 1763.0; Max. 99.0; StDev 46.405325834410725; Mean 52.62677254679521; Min. 1.0

Variable Format: numeric

Notes: UNF:6:379GeFo79KAjVgv8FhOvXg==

$problemToShow3_text.raw

f10141877 Location:

Value	Label	Frequency
11.	10 - Extremely easy	100
4.	3	75
7.	6	87
98.	Skipped	0
1.	0 - Completely impossible	72
6.	5	195
9.	8	84
2.	1	33
99.	Not Asked	881
10.	9	31
3.	2	41
5.	4	67
8.	7	97

Summary Statistics: Mean 52.65796937039139; Valid 1763.0; StDev 46.37279695169135; Max. 99.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:FjriH62Fxu0lyaF01md+3A==

For each of the problems listed below, how often do you think these occur in the UK?

f10141877 Location:

Value	Label	Frequency	Text
8.	Skipped	0
9.	Not Asked	882

Summary Statistics: Min. 1.0; Mean 5.002268859897904; Max. 9.0; StDev 4.001134269128159; Valid 1763.0;

Variable Format: numeric

Notes: UNF:6:BjkFpMlWptdjkzy3M9UiNw==

$problemToShow1_text.raw

f10141877 Location:

Value	Label	Frequency
7.	6	101
8.	7	122
5.	4	43
9.	8	107
98.	Skipped	0
3.	2	53
10.	9	50
99.	Not Asked	882
4.	3	50
6.	5	132
2.	1	25
1.	0 - Extremely rarely	49
11.	10 - Extremely frequently	149

Summary Statistics: Valid 1763.0; Min. 1.0; Max. 99.0; StDev 46.01138363422886; Mean 53.073170731707314

Variable Format: numeric

Notes: UNF:6:PGJylFHIeQYH3YH/t0M/cQ==

$problemToShow2_text.raw

f10141877 Location:

Value	Label	Frequency
11.	10 - Extremely frequently	157
1.	0 - Extremely rarely	54
9.	8	98
10.	9	56
2.	1	26
6.	5	123
4.	3	43
8.	7	114
98.	Skipped	0
5.	4	63
7.	6	105
99.	Not Asked	882
3.	2	42

Summary Statistics: Min. 1.0; Valid 1763.0; StDev 45.99938862956302; Max. 99.0; Mean 53.08621667612024

Variable Format: numeric

Notes: UNF:6:aM5Zvgl3tbfMiNj1k2bibw==

$problemToShow3_text.raw

f10141877 Location:

Value	Label	Frequency
98.	Skipped	0
10.	9	46
8.	7	118
2.	1	24
1.	0 - Extremely rarely	53
7.	6	92
99.	Not Asked	882
5.	4	50
6.	5	111
9.	8	100
3.	2	51
4.	3	66
11.	10 - Extremely frequently	170

Summary Statistics: StDev 46.01336766004758; Min. 1.0; Max. 99.0; Valid 1763.0; Mean 53.07430516165627

Variable Format: numeric

Notes: UNF:6:TQC07iRCNs3l3km0f7DsXQ==

f10141867 Location:

Summary Statistics: Mean 1152.5; Valid 2304.0; Max. 2304.0; Min. 1.0; StDev 665.2518320155158

Variable Format: numeric

Notes: UNF:6:mjAGlKQPeBasNd+MmREH6Q==

Weight

f10141867 Location:

Summary Statistics: Mean 0.9999999999999533; StDev 0.6303711025304918; Min. 0.0740314802453; Valid 2304.0; Max. 4.5431390936

Variable Format: numeric

Notes: UNF:6:6j3rINy9Jk73i5lH3bfXDQ==

When did you start this qx (epoch seconds)?

f10141867 Location:

Variable Format: character

Notes: UNF:6:S3HCabWSs7vb+BIRigM3lQ==

When did you complete this qx (epoch seconds)?

f10141867 Location:

Variable Format: character

Notes: UNF:6:dort5u2JrPpbKt7d/osICA==

What is your age?

f10141867 Location:

Summary Statistics: Min. 18.0; Valid 2304.0; Mean 47.39366319444428; Max. 91.0; StDev 17.147339174500694

Variable Format: numeric

Notes: UNF:6:ssvk/ENVl7yiAM0pJ0k3Rg==

Are you…?

f10141867 Location:

Value	Label	Frequency	Text
1.	Male	1100
2.	Female	1204

Summary Statistics: Max. 2.0; Valid 2304.0; StDev 0.4995987920886111; Min. 1.0; Mean 1.5225694444444453

Variable Format: numeric

Notes: UNF:6:gFpHSAbQhbRFNvOrS8lc8g==

In which census region do you live?

f10141867 Location:

Value	Label	Frequency
4.	West	576
3.	South	858
2.	Midwest	434
1.	Northeast	436

Summary Statistics: Max. 4.0; Mean 2.6831597222222228; Valid 2304.0; Min. 1.0; StDev 1.0466136691637031

Variable Format: numeric

Notes: UNF:6:Y82zbSBsw9apoi9jTsxPIg==

What is the highest level of education you have completed?

f10141867 Location:

Value	Label	Frequency
5.	4-year	404
4.	2-year	250
6.	Post-grad	231
1.	No HS	127
2.	High school graduate	825
3.	Some college	467

Summary Statistics: Valid 2304.0; Min. 1.0; Max. 6.0; Mean 3.291666666666667; StDev 1.4854921508009264

Variable Format: numeric

Notes: UNF:6:deAyn5f5RUbnzk9Vz8eB+w==

What racial or ethnic group best describes you?

f10141867 Location:

Value	Label	Frequency
8.	Middle Eastern	8
5.	Native American	22
2.	Black	338
3.	Hispanic	337
7.	Other	55
4.	Asian	50
1.	White	1422
6.	Two or more races	72

Summary Statistics: StDev 1.4632309773698073; Min. 1.0; Max. 8.0; Valid 2304.0; Mean 1.866319444444442;

Variable Format: numeric

Notes: UNF:6:Lt8DIusgbErs8Wu4b5NuMA==

Who did you vote for in the election for President in 2020?

f10141867 Location:

Value	Label	Frequency
4.	Howie Hawkins	17
6.	Did not vote for President	465
1.	Joe Biden	1074
3.	Jo Jorgensen	34
5.	Other	20
2.	Donald Trump	694

Summary Statistics: Mean 2.3967013888888844; Min. 1.0; StDev 1.9136158754747932; Valid 2304.0; Max. 6.0

Variable Format: numeric

Notes: UNF:6:Pr0LRzwZDaYsFCaA+6BPCg==

Married

f10141867 Location:

Value	Label	Frequency	Text
1.	Yes	982
0.	No	1322

Summary Statistics: Valid 2304.0; Min. 0.0; Max. 1.0; StDev 0.49463320235592667; Mean 0.4262152777777772

Variable Format: numeric

Notes: UNF:6:+4e6W4oAV/wk4qOPgzD+Hg==

Civil Partnership

f10141867 Location:

Value	Label	Frequency	Text
1.	Yes	45
0.	No	2259

Summary Statistics: Min. 0.0; Valid 2304.0; Max. 1.0; Mean 0.01953125; StDev 0.1384127718782435

Variable Format: numeric

Notes: UNF:6:Eg24AaGNoTd1Irqbas2hqA==

Living together, not married or civil partnership

f10141867 Location:

Value	Label	Frequency	Text
1.	Yes	150
0.	No	2154

Summary Statistics: Max. 1.0; Mean 0.06510416666666667; Valid 2304.0; StDev 0.24676313133734074; Min. 0.0

Variable Format: numeric

Notes: UNF:6:dImTPYaV4pCNTJGoMJRRdw==

In a relationship, not living together

f10141867 Location:

Value	Label	Frequency	Text
1.	Yes	82
0.	No	2222

Summary Statistics: Max. 1.0; Mean 0.03559027777777731; StDev 0.18530654002032654; Min. 0.0; Valid 2304.0

Variable Format: numeric

Notes: UNF:6:GcBsL2R7uUxwsoH7V5fyrQ==

NET: In a relationship

f10141867 Location:

Value	Label	Frequency	Text
0.	No	1045
1.	Yes	1259

Summary Statistics: Min. 0.0; StDev 0.4979466373589198; Mean 0.5464409722222229; Valid 2304.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:uCJ632Yj0jU0X6hQEObOVw==

Single

f10141867 Location:

Value	Label	Frequency	Text
0.	No	1655
1.	Yes	649

Summary Statistics: Valid 2304.0; Mean 0.28168402777777707; StDev 0.44991776446073717; Max. 1.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:kz/BzICCqp3XsLZNSOQ/5Q==

Divorced

f10141867 Location:

Value	Label	Frequency	Text
1.	Yes	203
0.	No	2101

Summary Statistics: Max. 1.0; Mean 0.08810763888888858; Valid 2304.0; Min. 0.0; StDev 0.28351290944926005;

Variable Format: numeric

Notes: UNF:6:/QvzUBdopFUgda5Ii9pw8w==

Widowed

f10141867 Location:

Value	Label	Frequency	Text
1.	Yes	117
0.	No	2187

Summary Statistics: Max. 1.0; Mean 0.05078125; Valid 2304.0; StDev 0.21959837195000242; Min. 0.0

Variable Format: numeric

Notes: UNF:6:i0w5dphrDnM8B687zSVInA==

Separated

f10141867 Location:

Value	Label	Frequency	Text
0.	No	2270
1.	Yes	34

Summary Statistics: Valid 2304.0; Min. 0.0; Max. 1.0; StDev 0.12060468557186452; Mean 0.01475694444444439

Variable Format: numeric

Notes: UNF:6:EztGBwjUsYqsG7xTf2KMtA==

Other

f10141867 Location:

Value	Label	Frequency	Text
0.	No	2295
1.	Yes	9

Summary Statistics: Valid 2304.0; StDev 0.06239135150411289; Mean 0.00390625; Max. 1.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:vIO1R5Qwd2VXlLevvOeWgg==

Prefer not to say

f10141867 Location:

Value	Label	Frequency	Text
0.	No	2271
1.	Yes	33

Summary Statistics: Max. 1.0; Mean 0.014322916666666649; Valid 2304.0; Min. 0.0; StDev 0.11884401916017355

Variable Format: numeric

Notes: UNF:6:vtf0lDUwHh47UNHe65wM5Q==

Younger than 18

f10141867 Location:

Value	Label	Frequency	Text
1.	Yes	583
0.	No	1721

Summary Statistics: Min. 0.0; Mean 0.25303819444444586; Valid 2304.0; StDev 0.43484702798832403; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:/qyVr99M5c/fRLogfy2N+A==

18 or over

f10141867 Location:

Value	Label	Frequency	Text
0.	No	1512
1.	Yes	792

Summary Statistics: Max. 1.0; Min. 0.0; Mean 0.34375; StDev 0.4750619860370935; Valid 2304.0;

Variable Format: numeric

Notes: UNF:6:AQL3NnsCg6yM3hqaqqvgpA==

NET: Any age

f10141867 Location:

Value	Label	Frequency	Text
1.	Yes	1290
0.	No	1014

Summary Statistics: Mean 0.559895833333333; Min. 0.0; Max. 1.0; Valid 2304.0; StDev 0.49650728640549613;

Variable Format: numeric

Notes: UNF:6:hco0fR0lkMRkb9MIeJE41w==

Not a parent / guardian

f10141867 Location:

Value	Label	Frequency	Text
0.	No	1380
1.	Yes	924

Summary Statistics: Max. 1.0; StDev 0.4902158199731817; Valid 2304.0; Mean 0.4010416666666662; Min. 0.0

Variable Format: numeric

Notes: UNF:6:VQlEAIDwyvYAGcNBILPSsA==

Don't know / Prefer not to say

f10141867 Location:

Value	Label	Frequency	Text
1.	Yes	90
0.	No	2214

Summary Statistics: Min. 0.0; Max. 1.0; StDev 0.19378575825950653; Valid 2304.0; Mean 0.0390625

Variable Format: numeric

Notes: UNF:6:A08bDvw/4rGHsNBcWSQlTg==

Income

f10141867 Location:

Value	Label	Frequency
2.	$40k to $79.9k	610
3.	$80k+	604
4.	Don't know / Prefer not to say	292
1.	Under $40k	798

Summary Statistics: Valid 2304.0; Min. 1.0; StDev 1.0427227241929768; Max. 4.0; Mean 2.169270833333333

Variable Format: numeric

Notes: UNF:6:IkmzhubVnEK4usAdHPYNXA==

Initial 3-way split

f10141867 Location:

Summary Statistics: Min. 1.0; StDev 0.8215070333876258; Mean 1.9348958333333333; Valid 2304.0; Max. 3.0

Variable Format: numeric

Notes: UNF:6:59toKvC8PUVwHffr6HZeWA==

In politics people sometimes talk of liberals and conservatives. Where would you place yourself on the following scale?

f10141867 Location:

Value	Label	Frequency
1.	Strongly liberal	320
5.	Slightly conservative	156
7.	Strongly conservative	238
4.	Moderate	740
6.	Conservative	349
3.	Slightly liberal	167
2.	Liberal	334

Summary Statistics: Min. 1.0; Max. 7.0; Valid 2304.0; StDev 1.8701479391256128; Mean 3.901475694444445;

Variable Format: numeric

Notes: UNF:6:DskR6q1V0pirxZfOstb++w==

Text saw

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Variable Format: character

Notes: UNF:6:uBhLK6h/aYWWXeptGItS7w==

Text saw

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Notes: UNF:6:qA2mNifJL0w695Q4Wsafxg==

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Variable Format: character

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Notes: UNF:6:oSPXKGqcIqdWxYneX3dLkg==

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Notes: UNF:6:qA2mNifJL0w695Q4Wsafxg==

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Notes: UNF:6:qA2mNifJL0w695Q4Wsafxg==

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Notes: UNF:6:qA2mNifJL0w695Q4Wsafxg==

Which of these do you think is worse?

f10141867 Location:

Value	Label	Frequency
1.	$experimentonetexta1	289
2.	$experimentonetextb1	309
3.	They are about the same	259

Summary Statistics: Mean 1.9649941656942826; Max. 3.0; StDev 0.7993497831991331; Min. 1.0; Valid 857.0

Variable Format: numeric

Notes: UNF:6:K+GGmlr/SEe4NW5X8rksRg==

Which of these do you think is worse?

f10141867 Location:

Value	Label	Frequency
2.	$experimentonetextb2	321
1.	$experimentonetexta2	320
3.	They are about the same	216

Summary Statistics: StDev 0.781936272315208; Mean 1.8786464410735124; Max. 3.0; Valid 857.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:CnYpAq3VxRSD3Bcxy4QRiA==

Which of these do you think is worse?

f10141867 Location:

Value	Label	Frequency
2.	$experimentonetextb3	329
3.	They are about the same	192
1.	$experimentonetexta3	336

Summary Statistics: StDev 0.7671740588666988; Valid 857.0; Max. 3.0; Mean 1.8319719953325555; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:FmxhbXVBN/hyuD2wDJWx8Q==

Which of these do you think is worse?

f10141867 Location:

Value	Label	Frequency
2.	$experimentonetextb4	320
3.	They are about the same	208
1.	$experimentonetexta4	329

Summary Statistics: Min. 1.0; Valid 857.0; StDev 0.7793449097254908; Max. 3.0; Mean 1.858809801633606

Variable Format: numeric

Notes: UNF:6:IuceWAsxdDfUX85sYJ264w==

Which of these do you think is worse?

f10141867 Location:

Value	Label	Frequency
3.	They are about the same	192
1.	$experimentonetexta5	331
2.	$experimentonetextb5	334

Summary Statistics: Max. 3.0; Valid 857.0; StDev 0.7646200234063325; Min. 1.0; Mean 1.8378063010501746

Variable Format: numeric

Notes: UNF:6:8DpgGASd+IIcPBZBNzc+sw==

Which of these do you think is worse?

f10141867 Location:

Value	Label	Frequency
1.	$experimentonetexta6	331
3.	They are about the same	206
2.	$experimentonetextb6	320

Summary Statistics: Min. 1.0; Max. 3.0; StDev 0.778483874760546; Valid 857.0; Mean 1.8541423570595097;

Variable Format: numeric

Notes: UNF:6:+JnOSM2GBZQ5AdjAKEVdCQ==

Which of these do you think is a worse problem in the US?

f10141867 Location:

Value	Label	Frequency
2.	$experimenttwotextb1	265
3.	They are about the same	235
1.	$experimenttwotexta1	240

Summary Statistics: Max. 3.0; Min. 1.0; StDev 0.8016949367466167; Valid 740.0; Mean 1.9932432432432432

Variable Format: numeric

Notes: UNF:6:c1jazdPI8wLw0J9Xdp/ivg==

Which of these do you think is a worse problem in the US?

f10141867 Location:

Value	Label	Frequency
1.	$experimenttwotexta2	269
2.	$experimenttwotextb2	290
3.	They are about the same	181

Summary Statistics: Min. 1.0; Mean 1.881081081081081; Max. 3.0; StDev 0.7712134219959824; Valid 740.0;

Variable Format: numeric

Notes: UNF:6:xNv/wD20frbL69ToEA6LjQ==

Which of these do you think is a worse problem in the US?

f10141867 Location:

Value	Label	Frequency
3.	They are about the same	181
2.	$experimenttwotextb3	295
1.	$experimenttwotexta3	264

Summary Statistics: Mean 1.887837837837838; Min. 1.0; StDev 0.7678331289136292; Valid 740.0; Max. 3.0

Variable Format: numeric

Notes: UNF:6:MsiE/ZoiUHtEZCsvSpfnKA==

Which of these do you think is a worse problem in the US?

f10141867 Location:

Value	Label	Frequency
2.	$experimenttwotextb4	261
3.	They are about the same	217
1.	$experimenttwotexta4	262

Summary Statistics: Max. 3.0; StDev 0.8027890434770597; Min. 1.0; Mean 1.939189189189189; Valid 740.0

Variable Format: numeric

Notes: UNF:6:PqdTJ/0iQwwyvYbFdYkQJQ==

Which of these do you think is a worse problem in the US?

f10141867 Location:

Value	Label	Frequency
3.	They are about the same	210
1.	$experimenttwotexta5	282
2.	$experimenttwotextb5	248

Summary Statistics: StDev 0.8101141724397942; Min. 1.0; Mean 1.9027027027027028; Valid 740.0; Max. 3.0;

Variable Format: numeric

Notes: UNF:6:HTS4XyLVUBzW+Rtn8NjYCw==

Which of these do you think is a worse problem in the US?

f10141867 Location:

Value	Label	Frequency
1.	$experimenttwotexta6	282
2.	$experimenttwotextb6	257
3.	They are about the same	201

Summary Statistics: Valid 740.0; StDev 0.8009920977817238; Mean 1.8905405405405409; Max. 3.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:rhGwy0Eq7k9KNCMbtm8w2Q==

Which of these problems should be the higher priority for the US government to try to fix?

f10141867 Location:

Value	Label	Frequency
3.	They are about the same	228
1.	$experimentthreetexta1	256
2.	$experimentthreetextb1	223

Summary Statistics: Max. 3.0; Min. 1.0; StDev 0.827031869167601; Valid 707.0; Mean 1.9603960396039604

Variable Format: numeric

Notes: UNF:6:5sgc0i8189pFQISOVIYR/A==

Which of these problems should be the higher priority for the US government to try to fix?

f10141867 Location:

Value	Label	Frequency
1.	$experimentthreetexta2	290
3.	They are about the same	184
2.	$experimentthreetextb2	233

Summary Statistics: Mean 1.85007072135785; Min. 1.0; Max. 3.0; StDev 0.8055293127782149; Valid 707.0

Variable Format: numeric

Notes: UNF:6:+Fmj+jcZYeQKVNtpvK9lHw==

Which of these problems should be the higher priority for the US government to try to fix?

f10141867 Location:

Value	Label	Frequency
3.	They are about the same	185
2.	$experimentthreetextb3	236
1.	$experimentthreetexta3	286

Summary Statistics: Mean 1.8571428571428568; Max. 3.0; Min. 1.0; Valid 707.0; StDev 0.8041776794876597;

Variable Format: numeric

Notes: UNF:6:V5adCJsTQSmcIuEgnvCxCg==

Which of these problems should be the higher priority for the US government to try to fix?

f10141867 Location:

Value	Label	Frequency
2.	$experimentthreetextb4	244
1.	$experimentthreetexta4	272
3.	They are about the same	191

Summary Statistics: Valid 707.0; Max. 3.0; StDev 0.8016625283627125; Min. 1.0; Mean 1.8854314002828856;

Variable Format: numeric

Notes: UNF:6:agTSDqhg6x7SWDMitntfqg==

Which of these problems should be the higher priority for the US government to try to fix?

f10141867 Location:

Value	Label	Frequency
2.	$experimentthreetextb5	245
3.	They are about the same	189
1.	$experimentthreetexta5	273

Summary Statistics: Valid 707.0; Max. 3.0; Min. 1.0; StDev 0.8001591573092078; Mean 1.881188118811881

Variable Format: numeric

Notes: UNF:6:7wRDcZNxsS2ZjztlRR0zAw==

Which of these problems should be the higher priority for the US government to try to fix?

f10141867 Location:

Value	Label	Frequency
3.	They are about the same	199
1.	$experimentthreetexta6	241
2.	$experimentthreetextb6	267

Summary Statistics: Max. 3.0; Min. 1.0; StDev 0.7872073407316347; Valid 707.0; Mean 1.9405940594059408

Variable Format: numeric

Notes: UNF:6:W39K+VWxilZs76cAG73Mfw==

Text saw

f10141867 Location:

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Notes: UNF:6:1NQTRCtMAFeNdvi+KlHK9Q==

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f10141867 Location:

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f10141867 Location:

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f10141867 Location:

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f10141867 Location:

Variable Format: character

Notes: UNF:6:qA2mNifJL0w695Q4Wsafxg==

Two-way split (if mainrandomisation=1)

f10141867 Location:

Value	Label	Frequency	Text
1.	governmentefficacy	416
2.	problemprevalence	441

Summary Statistics: Mean 1.5145857642940492; Max. 2.0; StDev 0.5000790567714337; Min. 1.0; Valid 857.0;

Variable Format: numeric

Notes: UNF:6:47sTRh91OONWzej/zrIIog==

For each of the problems listed below, how easy would it be for government action to reduce the problem in the UK?

f10141867 Location:

Value	Label	Frequency	Text
8.	Skipped	0
9.	Not Asked	0

Summary Statistics: Min. 1.0; Max. 1.0; Valid 1156.0; StDev 0.0; Mean 1.0

Variable Format: numeric

Notes: UNF:6:c13cu++oiDhHPmAprfhV2Q==

$problemToShow1_text.raw

f10141867 Location:

Value	Label	Frequency
5.	4	97
10.	9	63
1.	0 Completely impossible	85
3.	2	66
2.	1	48
9.	8	117
7.	6	106
4.	3	68
8.	7	123
11.	10 Extremely easy	179
6.	5	204

Summary Statistics: Max. 11.0; StDev 3.005564126620631; Mean 6.693771626297578; Valid 1156.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:AKyrm5T/1wAISEs9HFWsrg==

$problemToShow2_text.raw

f10141867 Location:

Value	Label	Frequency
8.	7	98
10.	9	69
9.	8	120
3.	2	75
6.	5	183
4.	3	100
2.	1	57
7.	6	100
11.	10 Extremely easy	166
1.	0 Completely impossible	98
5.	4	90

Summary Statistics: Mean 6.4576124567474045; StDev 3.1015877808365; Min. 1.0; Max. 11.0; Valid 1156.0

Variable Format: numeric

Notes: UNF:6:BU42B2DB31ab7fWl40/loQ==

$problemToShow3_text.raw

f10141867 Location:

Value	Label	Frequency
1.	0 Completely impossible	111
3.	2	76
11.	10 Extremely easy	168
5.	4	71
8.	7	100
9.	8	113
6.	5	215
10.	9	61
7.	6	91
4.	3	97
2.	1	53

Summary Statistics: Min. 1.0; Valid 1156.0; Mean 6.392733564013843; Max. 11.0; StDev 3.123947297937727;

Variable Format: numeric

Notes: UNF:6:HUvrzJLu4CJZIHsWRwqnEQ==

For each of the problems listed below, how often do you think these occur in the UK?

f10141867 Location:

Value	Label	Frequency	Text
9.	Not Asked	0
8.	Skipped	0

Summary Statistics: Valid 1148.0; StDev 0.0; Mean 1.0; Max. 1.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:XUHgxHaRb+gc1GxSYsUL9A==

$problemToShow1_text.raw

f10141867 Location:

Value	Label	Frequency
8.	7	126
5.	4	78
10.	9	104
2.	1	46
11.	10 Extremely frequently	223
3.	2	66
9.	8	127
6.	5	172
1.	0 Extremely rarely	39
4.	3	56
7.	6	111

Summary Statistics: Max. 11.0; Min. 1.0; StDev 2.896516263334961; Mean 7.313588850174217; Valid 1148.0

Variable Format: numeric

Notes: UNF:6:I0GyVavEWtvi+ia0NDiKuQ==

$problemToShow2_text.raw

f10141867 Location:

Value	Label	Frequency
8.	7	141
10.	9	94
5.	4	64
6.	5	177
9.	8	122
1.	0 Extremely rarely	41
3.	2	62
2.	1	35
7.	6	106
11.	10 Extremely frequently	238
4.	3	68

Summary Statistics: Max. 11.0; StDev 2.8781701696058484; Mean 7.3841463414634125; Valid 1148.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:LifUQpTvT5ikM2WVsoSMHg==

$problemToShow3_text.raw

f10141867 Location:

Value	Label	Frequency
11.	10 Extremely frequently	245
7.	6	107
9.	8	136
2.	1	33
3.	2	62
1.	0 Extremely rarely	37
8.	7	121
10.	9	97
6.	5	161
5.	4	80
4.	3	69

Summary Statistics: Valid 1148.0; Max. 11.0; Mean 7.436411149825784; StDev 2.8764682788651763; Min. 1.0

Variable Format: numeric

Notes: UNF:6:bp2x8fw704b7tG1AfEYMSw==

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