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I'm trying to perform a CFA on data where all of the observable variables are categorical. I believe I have entered the data correctly - the summary of the proportions across categories are correct but the rest of the sample statistics are causing concern. Can you clarify what exactly the means/intercepts/thresholds are? Also the correlation matrix is completely different to the one obtained in Stata. Both appear to be calculated on the same number of observations. Thanks for your help. |
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The sample statistics for the default weighted least squares estimator for a CFA model are thresholds and tetrachoric or polychoric correlations. See the Topic 2 course handout and video for a discussion of categorical data analysis. |
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Luning Sun posted on Monday, March 17, 2014 - 10:56 am
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I have a dataset with around 200 participants. The test has 10 dichotomous items loading on one factor. All of the items are extremely easy, with low frequencies of incorrect responses. When I run CFA analysis, most of the unstandardized factor loadings are not significant, however, the standardized (STDYX)factor loadings turn significant. I am very confused with this result. Can you help me understand it please? Thank you very much! |
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The raw and standardized coefficients have different sampling distributions. You would be able to understand your findings better use Bayes estimation. |
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Luning Sun posted on Tuesday, March 18, 2014 - 7:36 am
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Thank you Linda for your reply! As I am trying to validate the scale, which results do you think I should rely on? |
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This general type of question is better suited for a general discussion forum like SEMNET. |
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