Typical psychometrics raw data files have multiple psychometric variables (scales), each with multiple constituent items. In this data set, there are three psychometric variables, each with 10 constituent items. The variables can be labelled x, y, and z. The constituent items of x, y and z are x_1, x_2 ... x_10, y_1, y_2 ... y_10, z_1, z_2 ... z_10, respectively.

data('test_psychometrics')

Format

A data frame with 44 rows and 30 columns

Examples

data(test_psychometrics)
test_psychometrics
#> # A tibble: 44 × 30
#>      x_1   x_2   x_3   x_4   x_5   x_6   x_7   x_8   x_9  x_10   y_1   y_2   y_3
#>    <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#>  1     1     3     1     2     2     2     2     2     2     3     2     1     3
#>  2     2     3     3     2     1     1     2     1     1     2     2     2     3
#>  3     2     1     2     2     2     2     2     3     2     3     2     2     2
#>  4     2    NA     3     2     1     2     2     2     1     1     3     2     3
#>  5     0     1     1     1     1     1     1     2     2     1     2     2     2
#>  6     1     2     1     2     2     1     1     2     2     2     1     1     2
#>  7     2     2     3     2     2     3     4     3     2     2     3     3     3
#>  8     2     2     1     2     1     2     2     2     2     2     4     2     2
#>  9     1     2     1     2     1     2     2     1     2     1     1     2     3
#> 10     1     2     2     1     2     1     1     1     2     2     2     1     3
#> # ℹ 34 more rows
#> # ℹ 17 more variables: y_4 <dbl>, y_5 <dbl>, y_6 <dbl>, y_7 <dbl>, y_8 <dbl>,
#> #   y_9 <dbl>, y_10 <dbl>, z_1 <dbl>, z_2 <dbl>, z_3 <dbl>, z_4 <dbl>,
#> #   z_5 <dbl>, z_6 <dbl>, z_7 <dbl>, z_8 <dbl>, z_9 <dbl>, z_10 <dbl>