I run a CFA analysis in R and then wanted to check for unidimensionality with function parameterEstimates(). After running the function some of the factor loadings' p-values and sig. had NA inserted of values. for example:
Factor. Item. Loading. SE. p-value. sig.
cc. cc1. 0.721. 0.000. NA. NA
What does it mean and how can I improve that?
Hi, I actually don't quite get it that you need/want the parameterEstimates() functions to "check for unidimensionality". I don't use the function often but as far as i know it primarily is for giving you the CIs.
What do you get with the summary() function? When SE are not printed, the model usually did not converge. Beyond that, more background info is always necessary when you post methodological questions, see
https://www.researchgate.net/post/Netiquette_proposal_for_questions_on_structural_equation_modeling
Best,
--Holger
- Badges
- Science topic
- Similar topics
- Engineering
- Electrical Engineering