The test is calculated using stats::shapiro.test.
Arguments
- data
A tibble containing item measures.
- cols
The column holding metric values.
- labels
If TRUE (default) extracts labels from the attributes, see codebook.
- clean
Prepare data by data_clean.
- ...
Placeholder to allow calling the method with unused parameters from effect_metrics.
Examples
library(volker)
data <- volker::chatgpt
effect_metrics_items(data, starts_with("cg_adoption"))
#>
#>
#> |Expectations | skewness| kurtosis| W-statistic| p value| stars| normality|
#> |:-----------------------------------------------------------|--------:|--------:|-----------:|-------:|-----:|----------:|
#> |ChatGPT has clear advantages compared to similar offerings. | -0.51| -0.05| 0.89| 0.000| ***| not normal|
#> |Using ChatGPT brings financial benefits. | 0.09| -1.00| 0.90| 0.000| ***| not normal|
#> |Using ChatGPT is advantageous in many tasks. | -0.76| -0.02| 0.86| 0.000| ***| not normal|
#> |Compared to other systems, using ChatGPT is more fun. | -0.66| 0.43| 0.86| 0.000| ***| not normal|
#> |Much can go wrong when using ChatGPT. | 0.12| -0.85| 0.91| 0.000| ***| not normal|
#> |There are legal issues with using ChatGPT. | 0.07| -0.66| 0.90| 0.000| ***| not normal|
#> |The security of user data is not guaranteed with ChatGPT. | 0.22| -0.61| 0.89| 0.000| ***| not normal|
#> |Using ChatGPT could bring personal disadvantages. | 0.33| -0.65| 0.91| 0.000| ***| not normal|
#> |In my environment, using ChatGPT is standard. | 0.39| -0.68| 0.90| 0.000| ***| not normal|
#> |Almost everyone in my environment uses ChatGPT. | 0.56| -0.51| 0.88| 0.000| ***| not normal|
#> |Not using ChatGPT is considered being an outsider. | 1.08| 0.22| 0.79| 0.000| ***| not normal|
#> |Using ChatGPT brings me recognition from my environment. | 0.57| -0.77| 0.87| 0.000| ***| not normal|
#>
#> 4 missing case(s) omitted.
#>