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. Author manuscript; available in PMC: 2024 Mar 25.
Published in final edited form as: Collabra Psychol. 2023 Jun 15;9(1):77837. doi: 10.1525/collabra.77837

Table 2.

Model fit statistics testing one- and two-factor models in all samples and all waves

Sample Model χ2 (df) RMSEA [90%CI] CFI AIC Model Comparisons Δχ2 (Δdf) p for Δχ2
ADSAT Wave 1 A. One-factor 126.53 (9) 0.101 [0.086, 0.117] 0.92 19821
B. Two-factor i 102.51 (8) 0.096 [0.080, 0.113] 0.94 19799 A vs B = 24.02 (1) <.001
C. Two-factor ii 50.14 (8) 0.064 [0.048, 0.081] 0.97 19747 A vs C = 76.39 (1) <.001
FTP-RBE Wave 1 A. One-factor 123.12 (9) 0.150 [0.127, 0.174] 0.77 9632
B. Two-factor 82.04 (8) 0.128 [0.104, 0.154] 0.85 9592 A vs B = 41.08 (1) <.001
C. Two-factor 62.59 (8) 0.110 [0.085, 0.136] 0.89 9573 A vs C = 60.53 (1) <.001
Wave 2 A. One-factor 42.54 (9) 0.093 [0.066, 0.122] 0.92 7451
B. Two-factor 29.49 (8) 0.079 [0.050, 0.110] 0.95 7440 A vs B = 13.05 (1) <.001
C. Two-factor 24.71 (8) 0.069 [0.039, 0.101] 0.96 7435 A vs C = 17.83 (1) <.001
Wave 3 A. One-factor 34.05 (9) 0.095 [0.062, 0.130] 0.89 5327
B. Two-factor 29.56 (8) 0.093 [0.059, 0.131] 0.90 5325 A vs B = 4.49 (1) .034
C. Two-factor iii 14.92 (8) 0.053 [0.000, 0.094] 0.97 5310 A vs C = 19.13 (1) <.001
Project KIDS Wave 1 A. One-factor 74.74 (9) 0.129 [0.103, 0.157] 0.84 7615
B. Two-factor 56.31 (8) 0.117 [0.090, 0.147] 0.89 7598 A vs B = 18.43 (1) <.001
C. Two-factor 35.35 (8) 0.088 [0.060, 0.119] 0.94 7577 A vs C = 39.39 (1) <.001
TEDS Wave 1 A. One-factor 743.79 (9) 0.117 [0.110, 0.124] 0.87 101084
B. Two-factor 724.80(8) 0.122 [0.115, 0.130] 0.88 100657 A vs B = 18.99 (1) <.001
C. Two-factor 313.88 0.080 [0.072, 0.087] 0.95 100656 A vs C = 429.92 (1) <.001
Wave 2 A. One-factor 946.69 (9) 0.114 [0.108, 0.120] 0.89 133164
B. Two-factor 919.65 (8) 0.119 [0.113, 0.126] 0.90 133139 A vs B = 27.04 (1) <.001
C. Two-factor 374.34 (8) 0.076 [0.069, 0.082] 0.96 132594 A vs C = 572.35 (1) <.001
WRRMP Wave 1 A. One-factor 72.57 (9) 0.110 [0.088, 0.135] 0.91 9161
B. Two-factor 39.12 (8) 0.082 [0.057, 0.108] 0.96 9129 A vs B = 33.44 (1) <.001
C. Two-factor 49.47 (8) 0.095 [0.070, 0.121] 0.94 9139 A vs C = 23.09 (1) <.001
Wave 2 A. One-factor 51.03 (9) 0.096 [0.071, 0.122] 0.94 7953
B. Two-factor 40.74 (8) 0.089 [0.063, 0.118] 0.95 7944 A vs B = 10.29 (1) <.001
C. Two-factor 29.54 (8) 0.073 [0.046, 0.101] 0.97 7933 A vs C = 21.49 (1) <.001
Wave 3 A. One-factor 113.30 (9) 0.153 [0.129, 0.179] 0.86 7718
B. Two-factor 103.94 (8) 0.156 [0.130, 0.183] 0.87 7711 A vs B = 9.36 (1) .002
C. Two-factor 75.45 (8) 0.131 [0.105, 0.158] 0.91 7683 A vs C = 37.85 (1) <.001
Wave 4 A. One-factor 39.69 (9) 0.098 [0.068, 0.131] 0.92 5630
B. Two-factor 21.72 (8) 0.070 [0.035, 0.106] 0.96 5614 A vs B = 17.97 (1) <.001
C. Two-factor 31.63 (8) 0.092 [0.060, 0.126] 0.94 5624 A vs C = 8.06 (1) .004
Wave 5 A. One-factor 52.62 (9) 0.115 [0.086, 0.146] 0.91 5754
B. Two-factor 21.43 (8) 0.068 [0.034, 0.103] 0.97 5725 A vs B = 31.19 (1) <.001
C. Two-factor 50.64 (8) 0.121 [0.090, 0.153] 0.91 5754 A vs C = 1.98 (1) .159
Wave 6 A. One-factor 53.66 (9) 0.116 [0.087, 0.147] 0.92 5664
B. Two-factor 14.56 (8) 0.047 [0.000, 0.085] 0.99 5627 A vs B = 39.10 (1) <.001
C. Two-factor 48.79 (8) 0.118 [0.087, 0.150] 0.93 5661 A vs C = 4.87 (1) .027
Wave 7 A. One-factor 16.68 (9) 0.059 [0.000, 0.102] 0.97 4036
B. Two-factor 7.51 (8) 0.000 [0.000, 0.072] 1.00 4028 A vs B = 9.17 (1) .002
C. Two-factor 16.43 (8) 0.065 [0.016, 0.111] 0.96 4037 A vs C = 0.26 (1) .614
i

Model B. Two-factor tests the model proposed by Johnson et al. (2008).

ii

Model C. Two-factor tests the model suggested by the exploratory factor analysis of the ADSAT data.

iii

This model returned negative variances (i.e. Heywood cases) for the HomeZoo and HomeCalm items.