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. Author manuscript; available in PMC: 2009 Jul 21.
Published in final edited form as: Psychol Assess. 2008 Sep;20(3):227–237. doi: 10.1037/1040-3590.20.3.227

Table 2.

Fit Indices for Confirmatory Factor Analysis of the RESE Scale in the Italian, U.S., and Bolivian Sample

Model χ2 dfa CFI AIC RMSEA CI p SRMR
Italian sample
Model 1 1538.16 54 .57 21461.5 .18 (.18, .19) <.001 .15
Model 2 452.37 53 .88 20377.7 .09 (.09, .11) <.001 .07
Model 3 183.56 51 .96 20112.9 .06 (.05, .07) .066 .04

U.S. sample
Model 1 1556.16 54 .61 41105.9 .14 (.14, .15) <.001 .12
Model 2 46.25 53 .91 39958.1 .07 (.06, .08) <.001 .05
Model 3 263.23 52 .95 39817.1 .05 (.05, .06) .143 .05

Bolivian sample
Model 1 348.38 54 .68 8663.78 .14 (.12, .15) <.001 .12
Model 2 171.46 53 .89 8488.86 .09 (.07, .10) <.001 .07
Model 3 100.96 52 .95 8420.36 .06 (.04, .07) .244 .06

Note. For each sample, Model 1 refers to one factor with 12 items; Model 2 refers to one negative factor with eight items and one positive factor with four items; Model 3 refers to one second-order factor with two first-order factors (despondency/distress and anger/irritation, each with four items) and a first-positive order factor with four items. RESE = Regulatory Emotional Self-Efficacy; CFI = comparative fit index; AIC = Akaike information criterion; RMSEA = root-mean-square error of approximation; CI = confidence interval; SRMR = standardized root-mean-square residual.

a

For the three countries, each model indicated a significant chi-square with p < .001. This was likely due to the large samples sizes.