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Table 2 Model fit statistics for the confirmatory factor analysis (CFA) models (N = 1299)

From: Middle school student attitudes toward science, and their relationships with instructional practices: a survey of Chinese students’ preferred versus actual instruction

Model

k

CFI

RMSEA (C.I.)

SRMR

χ2

df

AICc

BIC

Model 1b: Unidimensional

131

.574

.105 (.103, .106)

.103

20,603.86

1354

173,159

173,807

Model 2b: First-Order Factors

152

.877

.057 (.055, .058)

.079

6911.20

1333

159,519

160,265

Model 3b: Second-Order Factors

140

.857

.061 (.060, .062)

.091

7807.02

1345

160,385

161,074

Model 4: bifactor unlinked

169

.752

.081 (.080, .082)

.049

12,538.34

1316

165,191

166,014

  1. “Linked” versions of models 1–3 have the same structure but include error covariance terms for the parallel Actual and Preferred items linked. k: number of parameters estimated
  2. Abbreviations: CFI Comparative fit index, RMSEA (CI) Root mean square error of approximation with 95% confidence interval in parentheses, SRMR Standardized root mean-square residual, AICc Corrected Akaike’s information criterion, BIC Bayesian information criterion