Projoint Example Data Set 1: "Labelled Tibble"

A cleaned tibble where each attribute corresponds to a separate column with a descriptive attribute name. The unit of observation is each of two profiles in each task for each respondent.

Usage

data(exampleData1_labelled_tibble)

Format

A tibble with 6,400 rows and 14 columns. Contains survey responses including outcome choices and conjoint attribute values (columns typically named with a `K-*-*` convention).

Source

Qualtrics survey on Prolific; see Clayton et al. replication materials.

Details

This dataset is intended for illustrating reading, reshaping, and analysis workflows in projoint. Column names are compatible with reshape_projoint().

Examples

# Load the data
data(exampleData1_labelled_tibble)

# Basic inspection (fast and always runnable)
head(exampleData1_labelled_tibble)
#> # A tibble: 6 × 14
#>   id                 task profile selected selected_repeated `School Quality`
#>   <chr>             <dbl>   <dbl>    <dbl>             <dbl> <chr>           
#> 1 R_00zYHdY1te1Qlrz     1       1        1                 1 9 out of 10     
#> 2 R_00zYHdY1te1Qlrz     1       2        0                 0 5 out of 10     
#> 3 R_00zYHdY1te1Qlrz     2       1        1                NA 9 out of 10     
#> 4 R_00zYHdY1te1Qlrz     2       2        0                NA 9 out of 10     
#> 5 R_00zYHdY1te1Qlrz     3       1        1                NA 5 out of 10     
#> 6 R_00zYHdY1te1Qlrz     3       2        0                NA 9 out of 10     
#> # ℹ 8 more variables: `Violent Crime Rate (Vs National Rate)` <chr>,
#> #   `Racial Composition` <chr>, `Housing Cost` <chr>,
#> #   `Presidential Vote (2020)` <chr>,
#> #   `Total Daily Driving Time for Commuting and Errands` <chr>,
#> #   `Type of Place` <chr>, race <fct>, ideology <fct>
dim(exampleData1_labelled_tibble)
#> [1] 6400   14

# Optional: quick structure peek (names only)
names(exampleData1_labelled_tibble)
#>  [1] "id"                                                
#>  [2] "task"                                              
#>  [3] "profile"                                           
#>  [4] "selected"                                          
#>  [5] "selected_repeated"                                 
#>  [6] "School Quality"                                    
#>  [7] "Violent Crime Rate (Vs National Rate)"             
#>  [8] "Racial Composition"                                
#>  [9] "Housing Cost"                                      
#> [10] "Presidential Vote (2020)"                          
#> [11] "Total Daily Driving Time for Commuting and Errands"
#> [12] "Type of Place"                                     
#> [13] "race"                                              
#> [14] "ideology"