effect_counts_items {volker} | R Documentation |
Test homogeneity of category shares for multiple items
Description
Performs a goodness-of-fit test and calculates the Gini coefficient for each item.
The goodness-of-fit-test is calculated using stats::chisq.test
.
Usage
effect_counts_items(data, cols, labels = TRUE, clean = TRUE, ...)
Arguments
data |
A tibble containing item measures. |
cols |
Tidyselect item variables (e.g. starts_with...). |
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_counts. |
Value
A volker tibble with the following statistical measures:
-
Gini coefficient: Gini coefficient, measuring inequality.
-
n: Number of cases the calculation is based on.
-
Chi-squared: Chi-Squared test statistic.
-
p: p-value for the statistical test.
-
stars: Significance stars based on p-value (*, **, ***).
Examples
library(volker)
data <- volker::chatgpt
effect_counts_items(data, starts_with("cg_adoption_adv"))
[Package volker version 3.1.0 Index]