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. 2019 May 15;11:45. doi: 10.1186/s13195-019-0500-5

Table 2.

Fit statistics for confirmatory factor analysis models

Chi-square df p value CFI RMSEA [90%CI] SRMR Comparison with single-factor model Comparison with two-factor model
Model 1: single factor 62.952 20 < .001 .891 .108 [.079–.139] .070 N.A. N.A.
Model 2: MEM + EF 52.543 19 < .001 .915 .098 [.067–.130] .064 ChiSq(1) = 10.409, p = .001 N.A.
Model 3A: MEM + EF + IADL 45.269 18 < .001 .931 .091 [.058–.124] .060 Chisq(2) = 17.683, p < .001 Chisq(1) = 15.873, p < .001

Model 1: Single factor based on all eight CFC subtests

Model 2: MEM = Word Recognition + Orientation + Word Recall, EF = Controlled Word Association Test + Category Fluency + Digit Symbol Substitution + Digit Span Backward + Amsterdam IADL Questionnaire

Model 3: MEM = Word Recognition + Orientation + Word Recall, EF = Controlled Word Association Test + Category Fluency + Digit Symbol Substitution + Digit Span Backward, IADL = Amsterdam IADL Questionnaire

Abbreviations: CFI Comparative Fit Index, EF executive functioning, IADL instrumental activities of daily living; MEM memory, RMSEA Root mean squares of error approximation, SRMR Standardized root mean square residual