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Table 6 Fit Indices for the Models for Item-parceling Data

From: Factor structure of the Test of English for Academic Purposes (TEAP®) test in relation to the TOEFL iBT® test

Model χ 2 df CFI TLI RMSEA [CI] WRMR SRMR
4A: TEAP unitary 11.101* 2 .951 .854 .213 [.103, .343] -- .033
4B: TEAP correlated 0.000 0 1.000 1.000 .000 [.000, .000] -- .000
4C: TEAP receptive-productive 9.766* 1 .953 .718 .296 [.148, .477] -- .030
5: TEAP unitary and TOEFL iBT unitary 37.692* 15 .963 .930 .123 [.074, .173] -- .040
  1. Note. df = degrees of freedom. CI = 90% confidence interval. *p < .05. Before constructing Models 4A, 4B, and 4C, we conducted item-level factor analysis to examine whether each skill was unidimensional, to judge the adequacy of aggregating the item-level score to form a total section score for each skill. For example, we conducted item-level factor analysis on 60 items for the Reading Section, to examine if they were unidimensional, and thereby warrant being combined into a single score. The results supported the unidimensionality of each skill (i.e., for reading, χ 2 = 1803.004, df = 1710, p = .0578, CFI = .930, TLI = .928, RMSEA [CI] = .023 [.000, .034], and WRMR = .941)
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