I am trying to make an SEM model in AMOS for my dissertation but having some trouble with getting a good fit. I am looking for relationships between self-efficacy reported on a Likert scale and scores on an assessment (the 2 instruments in my study). The Items on the left are the items from the self-efficacy questionnaire, and the skills listed on the right are scores on different categories in the test. I have done Pearsons r product moment correlations and the covariances I made were the significant results from the persons r. However, when I set the model up in AMOS and run it, the values I get do not meet the good fit indexes :(
Here is what I get: Chi-square = 354.624, Df = 18, Probability level = .000, CFI = .064, TLI rho2 = -.456, RMSEA = .289
When I tried to use the modification indices, it suggested adding covariances between the items on the self-efficacy scale and between the categories of scores on the assessment component.
I tried it out with the suggested covariances and I get: Chi-square = 5.223, Df= 6, Probability level = .516, CFI = 1.00, TLI rho2 = 1.010, RMSEA = .000
Would that be considered a good fit? Can I still use that model even though my research question is to examine the relationships between the two instruments and not between the items within each instrument?
Faryal Shaukat https://www.youtube.com/watch?v=nFml5AQwwHY
Please check the Chi value. it cants be more than 5. which shows that the result is not acceptable.
I suggest you think about your DV or DVs. OLS is not the only type of regression. This choice depends on the DV, which in your case is unclear. However if it is Likert you probably want Ordinal logistic Regression. I am attaching a good set of notes or you can google ordinal logistic regression, start with this link: https://www.google.com/search?client=firefox-b-1-d&q=Ordinal+logistic+regression+and+SEM
Best, David Booth
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