Chapter 3 Codebook

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

## # A tibble: 2,819 x 19
##    responseid r13pad1 r13pad2 r13pad3 r13pad4 r13pad5_avsender r13pad5_sak
##         <dbl> <dbl+l> <dbl+l> <dbl+l> <dbl+l> <dbl+lbl>        <dbl+lbl>  
##  1    1000010 1       3       2       4       5                2          
##  2    1000018 1       4       1       4       5                1          
##  3    1000023 2       4       1       4       7                1          
##  4    1000038 1       3       2       2       1                1          
##  5    1000043 1       3       1       3       1                1          
##  6    1000045 2       1       2       4       4                1          
##  7    1000049 1       1       2       1       2                1          
##  8    1000051 1       5       1       4       3                1          
##  9    1000058 2       3       1       4       2                1          
## 10    1000062 2       5       1       4       5                1          
## # ... with 2,809 more rows, and 12 more variables:
## #   r13pad5_utfall <dbl+lbl>, r13pad5_vinner <dbl+lbl>,
## #   r13pad5_vinnermargin <dbl+lbl>, r13pad6_ran <dbl+lbl>,
## #   r13pad6a <dbl+lbl>, r13pad6b <dbl+lbl>, r13pad7a <dbl+lbl>,
## #   r13pad7b <dbl+lbl>, r13pad8a <dbl+lbl>, r13pad8b <dbl+lbl>,
## #   Scale_time <chr>, time <dbl>

3.1 Items

3.1.1 responseid

responseid

3.1.1.1 Distribution

0 missings.

3.1.1.2 Summary statistics

name label data_type missing complete n mean sd p0 p25 p50 p75 p100 hist format.spss
responseid responseid numeric 0 2819 2819 1e+06 5433.17 1e+06 1e+06 1e+06 1e+06 1e+06 ▇▅▃▅▅▇▆▇ F8.0

3.1.2 r13pad1

For/against: Ban on begging in your municipality.

3.1.2.1 Distribution

0 missings.

3.1.2.2 Summary statistics

name label data_type value_labels missing complete n mean sd p0 p25 p50 p75 p100 hist format.spss
r13pad1 For/against: Ban on begging in your municipality. numeric
  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 2819 2819 2.61 10.75 1 1 1 2 97 ▇▁▁▁▁▁▁▁ F1.0

3.1.2.3 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

3.1.3 r13pad2

How important is the issue of begging bans to you?

3.1.3.1 Distribution

0 missings.

3.1.3.2 Summary statistics

name label data_type value_labels missing complete n mean sd p0 p25 p50 p75 p100 hist format.spss
r13pad2 How important is the issue of begging bans to you? numeric
  1. Very important,
    2. Important,
    3. Fairly important,
    4. Not very important,
    5. Not at all important,
    97. Not answered,
    98. Not asked
0 2819 2819 3.55 5.94 1 3 3 4 97 ▇▁▁▁▁▁▁▁ F1.0

3.1.3.3 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

3.1.4 r13pad3

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

3.1.4.1 Distribution

0 missings.

3.1.4.2 Summary statistics

name label data_type value_labels missing complete n mean sd p0 p25 p50 p75 p100 hist format.spss
r13pad3 For/against: Increase in tolls for diesel cars in your municipality. numeric
  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 2819 2819 3 10.85 1 2 2 2 97 ▇▁▁▁▁▁▁▁ F1.0

3.1.4.3 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

3.1.5 r13pad4

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

3.1.5.1 Distribution

0 missings.

3.1.5.2 Summary statistics

name label data_type value_labels missing complete n mean sd p0 p25 p50 p75 p100 hist format.spss
r13pad4 How important is the issue of increased tolls for diesel cars to you? numeric
  1. Very important,
    2. Important,
    3. Fairly important,
    4. Not very important,
    5. Not at all important,
    97. Not answered,
    98. Not asked
0 2819 2819 3.24 6.96 1 2 3 4 97 ▇▁▁▁▁▁▁▁ F1.0

3.1.5.3 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

3.1.6 r13pad5_avsender

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

3.1.6.1 Distribution

0 missings.

3.1.6.2 Summary statistics

name label data_type value_labels missing complete n mean sd p0 p25 p50 p75 p100 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]
numeric
  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 2819 2819 4.02 1.98 1 2 4 6 7 ▇▇▇▇▁▇▇▇ F1.0

3.1.6.3 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

3.1.7 r13pad5_sak

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

3.1.7.1 Distribution

0 missings.

3.1.7.2 Summary statistics

name label data_type value_labels missing complete n mean sd p0 p25 p50 p75 p100 hist format.spss
r13pad5_sak [Background variable for conjoint experiment. Randomly selects issue of a hypothetical situation. Randomizes if r13group = 2 or 4]
numeric
  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 2819 2819 1.5 0.5 1 1 1 2 2 ▇▁▁▁▁▁▁▇ F1.0

3.1.7.3 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

3.1.8 r13pad5_utfall

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

3.1.8.1 Distribution

0 missings.

3.1.8.2 Summary statistics

name label data_type value_labels missing complete n mean sd p0 p25 p50 p75 p100 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]
numeric
  1. The Yes side won the vote,
    2. The No side won the vote
0 2819 2819 1.5 0.5 1 1 2 2 2 ▇▁▁▁▁▁▁▇ F1.0

3.1.8.3 Value labels

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

3.1.9 r13pad5_vinner

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

3.1.9.1 Distribution

0 missings.

3.1.9.2 Summary statistics

name label data_type value_labels missing complete n mean sd p0 p25 p50 p75 p100 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]
numeric
  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 2819 2819 1.51 0.5 1 1 2 2 2 ▇▁▁▁▁▁▁▇ F1.0

3.1.9.3 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

3.1.10 r13pad5_vinnermargin

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

3.1.10.1 Distribution

0 missings.

3.1.10.2 Summary statistics

name label data_type value_labels missing complete n mean sd p0 p25 p50 p75 p100 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]
numeric
  1. .,
    2. with a slight majority.,
    3. With a large majority.
0 2819 2819 1.99 0.82 1 1 2 3 3 ▇▁▁▇▁▁▁▇ F1.0

3.1.10.3 Value labels

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

3.1.11 r13pad6_ran

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

3.1.11.1 Distribution

0 missings.

3.1.11.2 Summary statistics

name label data_type value_labels missing complete n mean sd p0 p25 p50 p75 p100 hist format.spss
r13pad6_ran [Randomly chooses r13pad6a, r13pad7a, and r13pad8a, or r13pad6b, r13pad7b, and r13pad8b. . Randomizes if r13group = 2 or 4]
numeric
  1. Respondent gets R13PAD6A, R13PAD7A, and R13PAD8A,
    2. Respondent gets R13PAD6B, R13PAD7B, and R13PAD8B
0 2819 2819 1.48 0.5 1 1 1 2 2 ▇▁▁▁▁▁▁▇ F1.0

3.1.11.3 Value labels

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

3.1.12 r13pad6a

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

3.1.12.1 Distribution

0 missings.

3.1.12.2 Summary statistics

name label data_type value_labels missing complete n mean sd p0 p25 p50 p75 p100 hist format.spss
r13pad6a Text options: How fair was the way the decision was made. numeric
  1. Very fair,
    2. Fair,
    3. Quite fair,
    4. Not very fair,
    5. Not at all fair,
    97. Not answered,
    98. Not asked
0 2819 2819 48.71 47.9 1 2 5 98 98 ▇▁▁▁▁▁▁▇ F1.0

3.1.12.3 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

3.1.13 r13pad6b

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

3.1.13.1 Distribution

0 missings.

3.1.13.2 Summary statistics

name label data_type value_labels missing complete n mean sd p0 p25 p50 p75 p100 hist format.spss
r13pad6b Scale options: How fair was the way the decision was made. numeric
  1. 1 Most fair,
    2. 2,
    3. 3,
    4. 4,
    5. 5 Not fair,
    97. Not answered,
    98. Not asked
0 2819 2819 52.44 47.97 1 2 98 98 98 ▇▁▁▁▁▁▁▇ F1.0

3.1.13.3 Value labels

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

3.1.14 r13pad7a

Text options: How reasonable was the decision.

3.1.14.1 Distribution

0 missings.

3.1.14.2 Summary statistics

name label data_type value_labels missing complete n mean sd p0 p25 p50 p75 p100 hist format.spss
r13pad7a Text options: How reasonable was the decision. numeric
  1. Very reasonable,
    2. Reasonable,
    3. Somewhat reasonable,
    4. Not very reasonable,
    5. Not reasonable at all,
    97. Not answered,
    98. Not asked
0 2819 2819 49.05 47.73 1 2 5 98 98 ▇▁▁▁▁▁▁▇ F1.0

3.1.14.3 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

3.1.15 r13pad7b

Scale options: How reasonable was the decision.

3.1.15.1 Distribution

0 missings.

3.1.15.2 Summary statistics

name label data_type value_labels missing complete n mean sd p0 p25 p50 p75 p100 hist format.spss
r13pad7b Scale options: How reasonable was the decision. numeric
  1. 1 Most reasonable,
    2. 2,
    3. 3,
    4. 4,
    5. 5 Not reasonable,
    97. Not answered,
    98. Not asked
0 2819 2819 52.95 47.77 1 2 98 98 98 ▇▁▁▁▁▁▁▇ F1.0

3.1.15.3 Value labels

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

3.1.16 r13pad8a

Text options: How willing to accept the decision.

3.1.16.1 Distribution

0 missings.

3.1.16.2 Summary statistics

name label data_type value_labels missing complete n mean sd p0 p25 p50 p75 p100 hist format.spss
r13pad8a Text options: How willing to accept the decision. numeric
  1. Very willing,
    2. Willing,
    3. Fairly willing,
    4. Not very willing,
    5. Not at all willing,
    97. Not answered,
    98. Not asked
0 2819 2819 48.71 47.86 1 2 5 98 98 ▇▁▁▁▁▁▁▇ F1.0

3.1.16.3 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

3.1.17 r13pad8b

Scale options: How willing to accept the decision.

3.1.17.1 Distribution

0 missings.

3.1.17.2 Summary statistics

name label data_type value_labels missing complete n mean sd p0 p25 p50 p75 p100 hist format.spss
r13pad8b Scale options: How willing to accept the decision. numeric
  1. 1 Most willing,
    2. 2,
    3. 3,
    4. 4,
    5. 5 Not willing,
    97. Not answered,
    98. Not asked
0 2819 2819 52.61 47.93 1 2 98 98 98 ▇▁▁▁▁▁▁▇ F1.0

3.1.17.3 Value labels

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

3.1.18 Scale_time

3.1.18.1 Distribution

0 missings.

3.1.18.2 Summary statistics

name data_type missing complete n empty n_unique min max format.spss
Scale_time character 0 2819 2819 0 2 21 21 A21

3.1.19 time

3.1.19.1 Distribution

0 missings.

3.1.19.2 Summary statistics

name data_type missing complete n mean sd p0 p25 p50 p75 p100 hist format.spss
time numeric 0 2819 2819 3259.38 47300.62 0 64 88 125 1e+06 ▇▁▁▁▁▁▁▁ F8.2

3.2 Missingness report

Among those who finished the survey. Only variables that have missings are shown.

3.3 Codebook table