Degrees of Freedom = 71
Minimum Fit Function Chi-Square = 84.04 (P = 0.14)
Normal Theory Weighted Least Squares Chi-Square = 78.62 (P = 0.25)
Estimated Non-centrality Parameter (NCP) = 7.62
90 Percent Confidence Interval for NCP = (0.0 ; 33.46)
Minimum Fit Function Value = 0.95
Population Discrepancy Function Value (F0) = 0.087
90 Percent Confidence Interval for F0 = (0.0 ; 0.38)
Root Mean Square Error of Approximation (RMSEA) = 0.035
90 Percent Confidence Interval for RMSEA = (0.0 ; 0.073)
P-Value for Test of Close Fit (RMSEA < 0.05) = 0.70
Chi-Square for Independence Model with 91 Degrees of Freedom = 1177.44
Normed Fit Index (NFI) = 0.93
Non-Normed Fit Index (NNFI) = 0.98
Comparative Fit Index (CFI) = 0.99
Incremental Fit Index (IFI) = 0.99
Relative Fit Index (RFI) = 0.91
That is a lot of information to go through. If you give some info regarding why you've run this model and what you are trying to do with it, we'll be able to help you out in a more focused manner. I say that because it sounds like you're entirely unfamiliar with SEM/Measurement Models and might not have that background knowledge needed to make proper use of the technique or even understand what you're looking at.
I completed a survey and using EFA found 4 underlying factors. I completed a second survey and again using EFA the same 4 factors emerge. I was then told to complete a CFA on the data using lisreal and the out put is as above. I suppose all I am looking to prove is that the 4 factors that emerge are valid (valid may be the wrong word but i hope you understand what I mean) etc in explaining the data.
You are right in your assessment that my knowledge is scarce on the subject! Any assistance greatly appreciated!
I am new to lisrel. And I am hoping to find a tutor for a couple of hours to teach me how to perform some analysis with the software. If you have the software and have a couple hours of spare (and do not charge crazy amount of hourly rate), please contact me. Thanks so much. --- sara
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