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Table 3 Goodness of Fit Information for the Applied Models for the SD Subscale

From: Consequences of academic disappointment inventory: confirmatory factor analysis, reliability and convergent validity

Model

χ2 (df)

p

CFI

TLI

RMSEA

90% CI

SRMR

AIC

1 factor

565.448 (104)

0.000

0.797

0.765

0.125

0.115—0.135

0.081

14859.110

2-factor (positive & negative worded items)

493.026 (103)

0.000

0.828

0.800

0.115

0.105—0.126

0.078

14752.881

3-factor 1 (positive worded items & LM & LBI)

265.819 (101)

0.000

0.927

0.914

0.076

0.065—0.087

0.058

14453.525

3-factor 2 (negative worded items & M & BI)

448.493 (101)

0.000

0.847

0.818

0.110

0.100—0.120

0.076

14681.303

3-factor 3 (BI + LBI &M &LM)

223.095 (101)

0.000

0.946

0.936

0.065

0.054—0.077

0.048

14391.442

4-factor (M & LM & BI & LBI)

158.792 (98)

0.000

0.973

0.967

0.047

0.033—0.060

0.040

14311.335

  1. Note. χ2 = Chi-square value, (df) = Degrees of freedom, p = significance level, CFI Comparative Fit Index, TLI Tucker-Lewis Index, RMSEA Root Mean Square Error of Approximation (RMSEA), CI Confidence interval, SRMR Standardized Root Mean Square Residual, AIC Akaike Information Criterion, Motivation items, LM Lack of motivation items, BI Behavioral investment items, and LBI Lack of behavioral investment items