S.I. 13 Codebook

This chapter displays the codebook for the Study 3 data set, generated using the R package “codebook”.

13.0.1 Metadata

13.0.1.1 Description

Dataset name: d3

The dataset has N=2819 rows and 19 columns. 2819 rows have no missing values on any column.

Metadata for search engines

  • Date published: 2020-06-04

    • keywords: responseid, r13pad1, r13pad2, r13pad3, r13pad4, r13pad5_avsender, r13pad5_sak, r13pad5_utfall, r13pad5_vinner, r13pad5_vinnermargin, r13pad6_ran, r13pad6a, r13pad6b, r13pad7a, r13pad7b, r13pad8a, r13pad8b, Scale_time and time

13.1 Variables

13.1.1 responseid

responseid

13.1.1.1 Distribution

0 missing values.

13.1.1.2 Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss
responseid responseid numeric 0 1 1e+06 1e+06 1e+06 1009421 5433 ▇▃▆▇▇ F8.0

13.1.2 r13pad1

For/against: Ban on begging in your municipality.

13.1.2.1 Distribution

0 missing values.

13.1.2.2 Summary statistics

name label data_type value_labels n_missing complete_rate min median max mean sd n_value_labels hist format.spss
r13pad1 For/against: Ban on begging in your municipality. haven_labelled
  1. I am in favour of a ban on begging in the municipality,
    2. I am against a ban on begging in the municipality,
    97. Not answered,
    98. Not asked
0 1 1 1 97 2.613 10.75 4 ▇▁▁▁▁▁▁▁ F8.2

13.1.2.3 Value labels

  • I am in favour of a ban on begging in the municipality: 1
  • I am against a ban on begging in the municipality: 2
  • Not answered: 97
  • Not asked: 98

13.1.3 r13pad2

How important is the issue of begging bans to you?

13.1.3.1 Distribution

0 missing values.

13.1.3.2 Summary statistics

name label data_type value_labels n_missing complete_rate min median max mean sd n_value_labels hist format.spss
r13pad2 How important is the issue of begging bans to you? haven_labelled
  1. Very important,
    2. Important,
    3. Fairly important,
    4. Not very important,
    5. Not at all important,
    97. Not answered,
    98. Not asked
0 1 1 3 97 3.547 5.938 7 ▇▁▁▁▁▁▁▁ F8.2

13.1.3.3 Value labels

  • Very important: 1
  • Important: 2
  • Fairly important: 3
  • Not very important: 4
  • Not at all important: 5
  • Not answered: 97
  • Not asked: 98

13.1.4 r13pad3

For/against: Increase in tolls for diesel cars in your municipality.

13.1.4.1 Distribution

0 missing values.

13.1.4.2 Summary statistics

name label data_type value_labels n_missing complete_rate min median max mean sd n_value_labels hist format.spss
r13pad3 For/against: Increase in tolls for diesel cars in your municipality. haven_labelled
  1. I am in favour of an increase in the tolls for diesel cars,
    2. I am against an increase in the tolls for diesel cars,
    97. Not answered,
    98. Not asked
0 1 1 2 97 3 10.85 4 ▇▁▁▁▁▁▁▁ F8.2

13.1.4.3 Value labels

  • I am in favour of an increase in the tolls for diesel cars: 1
  • I am against an increase in the tolls for diesel cars: 2
  • Not answered: 97
  • Not asked: 98

13.1.5 r13pad4

How important is the issue of increased tolls for diesel cars to you?

13.1.5.1 Distribution

0 missing values.

13.1.5.2 Summary statistics

name label data_type value_labels n_missing complete_rate min median max mean sd n_value_labels hist format.spss
r13pad4 How important is the issue of increased tolls for diesel cars to you? haven_labelled
  1. Very important,
    2. Important,
    3. Fairly important,
    4. Not very important,
    5. Not at all important,
    97. Not answered,
    98. Not asked
0 1 1 3 97 3.239 6.96 7 ▇▁▁▁▁▁▁▁ F8.2

13.1.5.3 Value labels

  • Very important: 1
  • Important: 2
  • Fairly important: 3
  • Not very important: 4
  • Not at all important: 5
  • Not answered: 97
  • Not asked: 98

13.1.6 r13pad5_avsender

[Background variable for conjoint experiment. Randomly selects statement made by losing side in a hypothetical situation. Randomizes if r13group = 2 or 4]

13.1.6.1 Distribution

0 missing values.

13.1.6.2 Summary statistics

name label data_type value_labels n_missing complete_rate min median max mean sd n_value_labels hist format.spss
r13pad5_avsender [Background variable for conjoint experiment. Randomly selects statement made by losing side in a hypothetical situation. Randomizes if r13group = 2 or 4]
haven_labelled
  1. [BLANK],
    2. The leader of one of the parties that was against the decision says that they are disappointed and that the decision was,
    3. The leader of one of the parties that was against the decision says that they are disappointed and that the decision was,
    4. The leader of one of the parties that was against the decision says that they are disappointed and that the decision was,
    5. The local newspaper – which was against the decision – writes in an editorial that they are disappointed and that th,
    6. The local newspaper – which was against the decision – writes in an editorial that they are disappointed and that th,
    7. The local newspaper – which was against the decision – writes in an editorial that they are disappointed and that th
0 1 1 4 7 4.02 1.983 7 ▇▇▇▇▁▇▇▇ F8.2

13.1.6.3 Value labels

  • [BLANK]: 1
  • The leader of one of the parties that was against the decision says that they are disappointed and that the decision was: 2
  • The leader of one of the parties that was against the decision says that they are disappointed and that the decision was: 3
  • The leader of one of the parties that was against the decision says that they are disappointed and that the decision was: 4
  • The local newspaper – which was against the decision – writes in an editorial that they are disappointed and that th: 5
  • The local newspaper – which was against the decision – writes in an editorial that they are disappointed and that th: 6
  • The local newspaper – which was against the decision – writes in an editorial that they are disappointed and that th: 7

13.1.7 r13pad5_sak

[Background variable for conjoint experiment. Randomly selects issue of a hypothetical situation. Randomizes if r13group = 2 or 4]

13.1.7.1 Distribution

0 missing values.

13.1.7.2 Summary statistics

name label data_type value_labels n_missing complete_rate min median max mean sd n_value_labels hist format.spss
r13pad5_sak [Background variable for conjoint experiment. Randomly selects issue of a hypothetical situation. Randomizes if r13group = 2 or 4]
haven_labelled
  1. in the future, begging on the streets will be banned or permitted in the municipality. This is a controversial decision.,
    2. in the future, diesel cars will pay increased tolls. This is a controversial decision. Some residents are strongly in fa
0 1 1 1 2 1.497 0.5001 2 ▇▁▁▁▁▁▁▇ F8.2

13.1.7.3 Value labels

  • in the future, begging on the streets will be banned or permitted in the municipality. This is a controversial decision.: 1
  • in the future, diesel cars will pay increased tolls. This is a controversial decision. Some residents are strongly in fa: 2

13.1.8 r13pad5_utfall

[Background variable for conjoint experiment. Randomly selects the outcome of the issue of a hypothetical situation. Randomizes if r13group = 2 or 4]

13.1.8.1 Distribution

0 missing values.

13.1.8.2 Summary statistics

name label data_type value_labels n_missing complete_rate min median max mean sd n_value_labels hist format.spss
r13pad5_utfall [Background variable for conjoint experiment. Randomly selects the outcome of the issue of a hypothetical situation. Randomizes if r13group = 2 or 4]
haven_labelled
  1. The Yes side won the vote,
    2. The No side won the vote
0 1 1 2 2 1.5 0.5001 2 ▇▁▁▁▁▁▁▇ F8.2

13.1.8.3 Value labels

  • The Yes side won the vote: 1
  • The No side won the vote: 2

13.1.9 r13pad5_vinner

[Background variable for conjoint experiment. Randomly selects the reaction of the winner in a hypothetical situation. Randomizes if r13group = 2 or 4]

13.1.9.1 Distribution

0 missing values.

13.1.9.2 Summary statistics

name label data_type value_labels n_missing complete_rate min median max mean sd n_value_labels hist format.spss
r13pad5_vinner [Background variable for conjoint experiment. Randomly selects the reaction of the winner in a hypothetical situation. Randomizes if r13group = 2 or 4]
haven_labelled
  1. [BLANK],
    2. Following the decision, a politician on the winning side says that it was a good decision and that common sense prevaile
0 1 1 2 2 1.511 0.5 2 ▇▁▁▁▁▁▁▇ F8.2

13.1.9.3 Value labels

  • [BLANK]: 1
  • Following the decision, a politician on the winning side says that it was a good decision and that common sense prevaile: 2

13.1.10 r13pad5_vinnermargin

[Background variable for conjoint experiment. Randomly selects the winning margin in a hypothetical situation. Randomizes if r13group = 2 or 4]

13.1.10.1 Distribution

0 missing values.

13.1.10.2 Summary statistics

name label data_type value_labels n_missing complete_rate min median max mean sd n_value_labels hist format.spss
r13pad5_vinnermargin [Background variable for conjoint experiment. Randomly selects the winning margin in a hypothetical situation. Randomizes if r13group = 2 or 4]
haven_labelled
  1. .,
    2. with a slight majority.,
    3. With a large majority.
0 1 1 2 3 1.991 0.8217 3 ▇▁▁▇▁▁▁▇ F8.2

13.1.10.3 Value labels

  • .: 1
  • with a slight majority.: 2
  • With a large majority.: 3

13.1.11 r13pad6_ran

[Randomly chooses r13pad6a, r13pad7a, and r13pad8a, or r13pad6b, r13pad7b, and r13pad8b. . Randomizes if r13group = 2 or 4]

13.1.11.1 Distribution

0 missing values.

13.1.11.2 Summary statistics

name label data_type value_labels n_missing complete_rate min median max mean sd n_value_labels hist format.spss
r13pad6_ran [Randomly chooses r13pad6a, r13pad7a, and r13pad8a, or r13pad6b, r13pad7b, and r13pad8b. . Randomizes if r13group = 2 or 4]
haven_labelled
  1. Respondent gets R13PAD6A, R13PAD7A, and R13PAD8A,
    2. Respondent gets R13PAD6B, R13PAD7B, and R13PAD8B
0 1 1 1 2 1.478 0.4996 2 ▇▁▁▁▁▁▁▇ F8.2

13.1.11.3 Value labels

  • Respondent gets R13PAD6A, R13PAD7A, and R13PAD8A: 1
  • Respondent gets R13PAD6B, R13PAD7B, and R13PAD8B: 2

13.1.12 r13pad6a

Text options: How fair was the way the decision was made.

13.1.12.1 Distribution

0 missing values.

13.1.12.2 Summary statistics

name label data_type value_labels n_missing complete_rate min median max mean sd n_value_labels hist format.spss
r13pad6a Text options: How fair was the way the decision was made. haven_labelled
  1. Very fair,
    2. Fair,
    3. Quite fair,
    4. Not very fair,
    5. Not at all fair,
    97. Not answered,
    98. Not asked
0 1 1 5 98 48.71 47.9 7 ▇▁▁▁▁▁▁▇ F8.2

13.1.12.3 Value labels

  • Very fair: 1
  • Fair: 2
  • Quite fair: 3
  • Not very fair: 4
  • Not at all fair: 5
  • Not answered: 97
  • Not asked: 98

13.1.13 r13pad6b

Scale options: How fair was the way the decision was made.

13.1.13.1 Distribution

0 missing values.

13.1.13.2 Summary statistics

name label data_type value_labels n_missing complete_rate min median max mean sd n_value_labels hist format.spss
r13pad6b Scale options: How fair was the way the decision was made. haven_labelled
  1. 1 Most fair,
    2. 2,
    3. 3,
    4. 4,
    5. 5 Not fair,
    97. Not answered,
    98. Not asked
0 1 1 98 98 52.44 47.97 7 ▇▁▁▁▁▁▁▇ F8.2

13.1.13.3 Value labels

  • 1 Most fair: 1
  • 2: 2
  • 3: 3
  • 4: 4
  • 5 Not fair: 5
  • Not answered: 97
  • Not asked: 98

13.1.14 r13pad7a

Text options: How reasonable was the decision.

13.1.14.1 Distribution

0 missing values.

13.1.14.2 Summary statistics

name label data_type value_labels n_missing complete_rate min median max mean sd n_value_labels hist format.spss
r13pad7a Text options: How reasonable was the decision. haven_labelled
  1. Very reasonable,
    2. Reasonable,
    3. Somewhat reasonable,
    4. Not very reasonable,
    5. Not reasonable at all,
    97. Not answered,
    98. Not asked
0 1 1 5 98 49.05 47.73 7 ▇▁▁▁▁▁▁▇ F8.2

13.1.14.3 Value labels

  • Very reasonable: 1
  • Reasonable: 2
  • Somewhat reasonable: 3
  • Not very reasonable: 4
  • Not reasonable at all: 5
  • Not answered: 97
  • Not asked: 98

13.1.15 r13pad7b

Scale options: How reasonable was the decision.

13.1.15.1 Distribution

0 missing values.

13.1.15.2 Summary statistics

name label data_type value_labels n_missing complete_rate min median max mean sd n_value_labels hist format.spss
r13pad7b Scale options: How reasonable was the decision. haven_labelled
  1. 1 Most reasonable,
    2. 2,
    3. 3,
    4. 4,
    5. 5 Not reasonable,
    97. Not answered,
    98. Not asked
0 1 1 98 98 52.95 47.77 7 ▇▁▁▁▁▁▁▇ F8.2

13.1.15.3 Value labels

  • 1 Most reasonable: 1
  • 2: 2
  • 3: 3
  • 4: 4
  • 5 Not reasonable: 5
  • Not answered: 97
  • Not asked: 98

13.1.16 r13pad8a

Text options: How willing to accept the decision.

13.1.16.1 Distribution

0 missing values.

13.1.16.2 Summary statistics

name label data_type value_labels n_missing complete_rate min median max mean sd n_value_labels hist format.spss
r13pad8a Text options: How willing to accept the decision. haven_labelled
  1. Very willing,
    2. Willing,
    3. Fairly willing,
    4. Not very willing,
    5. Not at all willing,
    97. Not answered,
    98. Not asked
0 1 1 5 98 48.71 47.86 7 ▇▁▁▁▁▁▁▇ F8.2

13.1.16.3 Value labels

  • Very willing: 1
  • Willing: 2
  • Fairly willing: 3
  • Not very willing: 4
  • Not at all willing: 5
  • Not answered: 97
  • Not asked: 98

13.1.17 r13pad8b

Scale options: How willing to accept the decision.

13.1.17.1 Distribution

0 missing values.

13.1.17.2 Summary statistics

name label data_type value_labels n_missing complete_rate min median max mean sd n_value_labels hist format.spss
r13pad8b Scale options: How willing to accept the decision. haven_labelled
  1. 1 Most willing,
    2. 2,
    3. 3,
    4. 4,
    5. 5 Not willing,
    97. Not answered,
    98. Not asked
0 1 1 98 98 52.61 47.93 7 ▇▁▁▁▁▁▁▇ F8.2

13.1.17.3 Value labels

  • 1 Most willing: 1
  • 2: 2
  • 3: 3
  • 4: 4
  • 5 Not willing: 5
  • Not answered: 97
  • Not asked: 98

13.1.18 Scale_time

13.1.18.1 Distribution

0 missing values.

13.1.18.2 Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace format.spss label
Scale_time character 0 1 2 0 21 21 0 A21 NA

13.1.19 time

13.1.19.1 Distribution

0 missing values.

13.1.19.2 Summary statistics

name data_type n_missing complete_rate min median max mean sd hist format.spss label
time numeric 0 1 0 88 1e+06 3259 47301 ▇▁▁▁▁ F8.2 NA

13.2 Missingness report

13.3 Codebook table

JSON-LD metadata The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "d3",
  "datePublished": "2020-06-04",
  "description": "The dataset has N=2819 rows and 19 columns.\n2819 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n[truncated]\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.8.2).",
  "keywords": ["responseid", "r13pad1", "r13pad2", "r13pad3", "r13pad4", "r13pad5_avsender", "r13pad5_sak", "r13pad5_utfall", "r13pad5_vinner", "r13pad5_vinnermargin", "r13pad6_ran", "r13pad6a", "r13pad6b", "r13pad7a", "r13pad7b", "r13pad8a", "r13pad8b", "Scale_time", "time"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "responseid",
      "description": "responseid",
      "@type": "propertyValue"
    },
    {
      "name": "r13pad1",
      "description": "For/against: Ban on begging in your municipality.",
      "value": "1. I am in favour of a ban on begging in the municipality,\n2. I am against a ban on begging in the municipality,\n97. Not answered,\n98. Not asked",
      "maxValue": 98,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "r13pad2",
      "description": "How important is the issue of begging bans to you?",
      "value": "1. Very important,\n2. Important,\n3. Fairly important,\n4. Not very important,\n5. Not at all important,\n97. Not answered,\n98. Not asked",
      "maxValue": 98,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "r13pad3",
      "description": "For/against: Increase in tolls for diesel cars in your municipality.",
      "value": "1. I am in favour of an increase in the tolls for diesel cars,\n2. I am against an increase in the tolls for diesel cars,\n97. Not answered,\n98. Not asked",
      "maxValue": 98,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "r13pad4",
      "description": "How important is the issue of increased tolls for diesel cars to you?",
      "value": "1. Very important,\n2. Important,\n3. Fairly important,\n4. Not very important,\n5. Not at all important,\n97. Not answered,\n98. Not asked",
      "maxValue": 98,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "r13pad5_avsender",
      "description": "[Background variable for conjoint experiment. Randomly selects statement made by losing side in a hypothetical situation. Randomizes if r13group = 2 or 4]\r\n",
      "value": "1. [BLANK],\n2. The leader of one of the parties that was against the decision says that they are disappointed and that the decision was,\n3. The leader of one of the parties that was against the decision says that they are disappointed and that the decision was,\n4. The leader of one of the parties that was against the decision says that they are disappointed and that the decision was,\n5. The local newspaper – which was against the decision – writes in an editorial that they are disappointed and that th,\n6. The local newspaper – which was against the decision – writes in an editorial that they are disappointed and that th,\n7. The local newspaper – which was against the decision – writes in an editorial that they are disappointed and that th",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "r13pad5_sak",
      "description": "[Background variable for conjoint experiment. Randomly selects issue of a hypothetical situation. Randomizes if r13group = 2 or 4]\r\n",
      "value": "1. in the future, begging on the streets will be banned or permitted in the municipality. This is a controversial decision.,\n2. in the future, diesel cars will pay increased tolls. This is a controversial decision. Some residents are strongly in fa",
      "maxValue": 2,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "r13pad5_utfall",
      "description": "[Background variable for conjoint experiment. Randomly selects the outcome of the issue of a hypothetical situation. Randomizes if r13group = 2 or 4]\r\n",
      "value": "1. The Yes side won the vote,\n2. The No side won the vote",
      "maxValue": 2,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "r13pad5_vinner",
      "description": "[Background variable for conjoint experiment. Randomly selects the reaction of the winner in a hypothetical situation. Randomizes if r13group = 2 or 4]\r\n",
      "value": "1. [BLANK],\n2. Following the decision, a politician on the winning side says that it was a good decision and that common sense prevaile",
      "maxValue": 2,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "r13pad5_vinnermargin",
      "description": "[Background variable for conjoint experiment. Randomly selects the winning margin in a hypothetical situation. Randomizes if r13group = 2 or 4]\r\n",
      "value": "1. .,\n2. with a slight majority.,\n3. With a large majority.",
      "maxValue": 3,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "r13pad6_ran",
      "description": "[Randomly chooses r13pad6a, r13pad7a, and r13pad8a, or r13pad6b, r13pad7b, and r13pad8b. . Randomizes if r13group = 2 or 4]\r\n",
      "value": "1. Respondent gets R13PAD6A, R13PAD7A, and R13PAD8A,\n2. Respondent gets R13PAD6B, R13PAD7B, and R13PAD8B",
      "maxValue": 2,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "r13pad6a",
      "description": "Text options: How fair was the way the decision was made.",
      "value": "1. Very fair,\n2. Fair,\n3. Quite fair,\n4. Not very fair,\n5. Not at all fair,\n97. Not answered,\n98. Not asked",
      "maxValue": 98,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "r13pad6b",
      "description": "Scale options: How fair was the way the decision was made.",
      "value": "1. 1 Most fair,\n2. 2,\n3. 3,\n4. 4,\n5. 5 Not fair,\n97. Not answered,\n98. Not asked",
      "maxValue": 98,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "r13pad7a",
      "description": "Text options: How reasonable was the decision.",
      "value": "1. Very reasonable,\n2. Reasonable,\n3. Somewhat reasonable,\n4. Not very reasonable,\n5. Not reasonable at all,\n97. Not answered,\n98. Not asked",
      "maxValue": 98,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "r13pad7b",
      "description": "Scale options: How reasonable was the decision.",
      "value": "1. 1 Most reasonable,\n2. 2,\n3. 3,\n4. 4,\n5. 5 Not reasonable,\n97. Not answered,\n98. Not asked",
      "maxValue": 98,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "r13pad8a",
      "description": "Text options: How willing to accept the decision.",
      "value": "1. Very willing,\n2. Willing,\n3. Fairly willing,\n4. Not very willing,\n5. Not at all willing,\n97. Not answered,\n98. Not asked",
      "maxValue": 98,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "r13pad8b",
      "description": "Scale options: How willing to accept the decision.",
      "value": "1. 1 Most willing,\n2. 2,\n3. 3,\n4. 4,\n5. 5 Not willing,\n97. Not answered,\n98. Not asked",
      "maxValue": 98,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Scale_time",
      "@type": "propertyValue"
    },
    {
      "name": "time",
      "@type": "propertyValue"
    }
  ]
}`