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Modification indices did not indicate that the model could be improved by adding further paths (i.e. a direct path from invitation to attitude or intention).
More importantly, modification indices did not suggest a link between social inhibition and somatization, as had been speculated beforehand.
However, modification indices did not suggest that estimating these residuals in the models would improve model fit, meaning that the residuals did not correlate with each other to a statistically significant degree across time.
The effect from depression to tiredness was well identified in our models but the modification indices did not suggest insertion of this effect and the effect was not significant if inserted in either the one week or one month model.
(The modification indices did not call for this effect and estimating this effect resulted in an estimate that was far from significant, and did not importantly change any other estimates).
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In consequence, the introduction of the effects of temperature increase in the paludification index did not produce any modifications in the proportion of the study area whether classified as paludified, nearly paludified or not paludified compared to the base index.
We hypothesized that in addition to the five items loading onto a single factor; there would be error covariances for items 1 and 2, and items 3 and 4. We chose not to allow the errors on the remaining five pairs of items identified in the modification indices to correlate because they did not match this error theory.
Moreover, the models did not produce any large modification indices, which would have indicated possible ways to modify the model in order to reduce RMSEA.
The modification indices identified three areas of worklife for which values did not fully mediate their relationships with the burnout aspects: Reward with Exhaustion, Community with Cynicism, and Reward with Efficay.
These parameters indicated that the start model did not fit well (SRMR = 0.067; modification indices > 3.84).
The statistical software AMOS version 17.0 does not handle missing values when modification indices are estimated [ 21].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com