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Yusoff [ 18] produced five models of the DREEM using confirmatory factor analysis (CFA) (plus one one-factor model and an analysis of the original five-factor model) in a Malaysian medical student population.
However, a subsequent confirmatory factor analysis (CFA) that compared (a) a theoretically derived three-factor model (one factor for each of the belief types; Clark & Wells, 1995), (b) the empirically derived two-factor model (from the exploratory factor analysis), and (c) a parsimonious one-factor model suggested that the three-factor model was the best-fitting model (Wong & Moulds, 2011a).
He concluded that the four-factor oblique model (target model) fitted the data significantly better than either a baseline (i.e. zero-factor) or a one-factor model.
A one-factor model might provide a better explanation for the data.
The first model (Model 1) was a one-factor model, which suggested a single cognitive insight factor for grouping all 15 items.
A one-factor model was used as a baseline comparison.
Fitting a one-factor model to the data produced a root mean-square residual statistic of.048.
Confirmatory factor analysis of a one-factor model showed good fit resulting in a model with x/d.f.f
Model 1 was a 20-item one-factor model.
The CFA revealed that a one-factor model with correlated residuals was the more parsimonious model.
A one-factor model, accounted for 74.8% of the explanatory variance, was retained.
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CEO of Professional Science Editing for Scientists @ prosciediting.com