Nothing
Code
data %>% add_factors(tidyselect::starts_with("cg_adoption"), k = 3) %>%
factor_tab(starts_with("fct_cg_adoption"))
Output
|Expectations | Component 1| Component 2| Component 3| communality|
|:-----------------------------------------------------------|-----------:|-----------:|-----------:|-----------:|
|ChatGPT has clear advantages compared to similar offerings. | 0.1| 0.9| 0.0| 0.8|
|Using ChatGPT brings financial benefits. | 0.5| 0.5| 0.3| 0.6|
|Using ChatGPT is advantageous in many tasks. | 0.2| 0.8| 0.0| 0.7|
|Compared to other systems, using ChatGPT is more fun. | 0.2| 0.8| 0.0| 0.7|
|Much can go wrong when using ChatGPT. | -0.1| -0.2| 0.8| 0.7|
|There are legal issues with using ChatGPT. | 0.2| 0.2| 0.6| 0.5|
|The security of user data is not guaranteed with ChatGPT. | 0.1| 0.1| 0.7| 0.6|
|Using ChatGPT could bring personal disadvantages. | 0.2| -0.1| 0.7| 0.6|
|In my environment, using ChatGPT is standard. | 0.9| 0.2| 0.0| 0.8|
|Almost everyone in my environment uses ChatGPT. | 0.8| 0.2| 0.1| 0.7|
|Not using ChatGPT is considered being an outsider. | 0.7| 0.0| 0.3| 0.6|
|Using ChatGPT brings me recognition from my environment. | 0.8| 0.2| 0.0| 0.6|
4 missing case(s) omitted.
|Component | Eigenvalue| Proportion of variance| Cumulative proportion of variance|
|:-----------|----------:|----------------------:|---------------------------------:|
|Component 1 | 3.0| 0.3| 0.3|
|Component 2 | 2.5| 0.2| 0.5|
|Component 3 | 2.2| 0.2| 0.6|
|Test | Statistic| value|
|:-------------|------------------------:|------:|
|KMO Test | Cases| 97|
|KMO Test | Variables| 12|
|KMO Test | Cases-to-Variables Ratio| 8.08|
|KMO Test | Overall MSA| 0.74|
|Bartlett Test | Chi-squared| 463.54|
|Bartlett Test | df| 66|
|Bartlett Test | p| 0.000|
|Bartlett Test | stars| ***|
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