Cross Validated
2026-06-26 13:44 UTC
Score 33.0
AI-113-20260626-social-media-de244548
Full article
If not clear from the title, this code is in MPlus. When I run the following code, I get the following issue, but I'm not sure how to fix it. The output doesn't give me fit statistics and I'm not sure where or why the parameters don't work, as for regular CFA and ESEM they did, so it's not a direct data issue. Thanks in advance! TITLE: Bi-CFA for EDE-Q; DATA: FILE IS EDE-Q.csv; VARIABLE: NAMES = Q1-Q12, Q19-Q28; ! These are the variables that contribute to the EDE-Q, labelling each coloumn in the shortened data set MISSING = *; ! Giving blanks a value so MPlus can see where they are for full maximum likelihood indicator, automatically fills in any missing data gaps CATEGORICAL ARE Q1-Q12, Q19-Q28; ! Specifies that data is categorical, not continuous MODEL: GeneralFactor BY Q1-Q12, Q19-Q28; ! General factor measured by all items F1 BY Q1-Q5; ! Each item on it's predetermined sub-scale, Restraint, residual variance being measured in addition to general factor F2 BY Q7, Q9, Q19-Q21; ! Eating Concern F3 BY Q6, Q8, Q10, Q11, Q23, Q26-Q28; ! Shape Concern F4 BY Q8, Q12, Q22-Q25; ! Weight Concern GeneralFactor WITH F1-F4@0; ! General and specific factors are not correlated and so set to 0, sub-scales are residual factors F1-F4 WITH F1-F4@0; ! Typically specific factors shouldn't be correlating OUTPUT: SAMPSTAT, STDYX; ! Sample statistics and standardised outputs THE STANDARD ERRORS OF THE MODEL PARAMETER ESTIMATES COULD NOT BE COMPUTED. THE MODEL MAY NOT BE IDENTIFIED. CHECK YOUR M…