TABLE 4.
Model | χ 2 | df | p value | TLI | CFI | RMSEA | SRMR | AIC | BIC |
90% CI RMSEA |
Model Comparison | Δχ 2 | Δ df | Δ CFI | |
LL | UL | ||||||||||||||
Study resources | |||||||||||||||
M0. Intercept only | 86.02 | 27 | 0.00 | 0.92 | 0.91 | 0.13 | 0.12 | 283.25 | 333.38 | 0.096 | 0.155 | M3 vs. M0 | −27.94* | 0 | 0.07 |
M1. Linear | 92.22 | 31 | 0.00 | 0.91 | 0.92 | 0.12 | 0.11 | 279.40 | 317.74 | 0.091 | 0.147 | M2 vs. M1 | −57.77* | −4 | 0.06 |
M2. Quadratic | 37.45 | 27 | 0.09 | 0.98 | 0.98 | 0.05 | 0.08 | 226.15 | 276.28 | 0.000 | 0.090 | M3 vs. M2 | −0.41 | 0 | 0.01 |
M3. Piecewise | 37.04 | 27 | 0.09 | 0.99 | 0.99 | 0.05 | 0.08 | 221.92 | 271.26 | 0.000 | 0.089 | M3 vs. M1 | −84.93* | −4 | 0.07 |
Study demands | |||||||||||||||
M4. Intercept only | 78.62 | 27 | 0.00 | 0.95 | 0.94 | 0.12 | 0.09 | 991.78 | 1041.91 | 0.087 | 0.147 | M7 vs.M4 | −37.13* | 0 | 0.04 |
M5. Linear | 85.14 | 31 | 0.00 | 0.94 | 0.95 | 0.11 | 0.09 | 990.30 | 1,028.63 | 0.083 | 0.140 | M6 vs. M5 | −35.84* | −4 | 0.03 |
M6. Quadratic | 49.30 | 27 | 0.01 | 0.98 | 0.98 | 0.08 | 0.08 | 962.46 | 1,012.59 | 0.041 | 0.110 | M7 vs. M6 | −7.81 | 0 | 0 |
M7. Piecewise | 41.49 | 27 | 0.05 | 0.99 | 0.98 | 0.06 | 0.08 | 954.65 | 1,004.79 | 0.016 | 0.097 | M7 vs. M5 | −43.65* | −4 | 0.03 |
Mental health | |||||||||||||||
M8. Intercept only | 47.71 | 27 | 0.01 | 0.97 | 0.97 | 0.07 | 0.09 | 1,411.09 | 1,461.22 | 0.037 | 0.107 | M11 vs. M8 | −11.96* | 0 | 0.03 |
M9. Linear | 38.31 | 31 | 0.17 | 0.99 | 0.99 | 0.04 | 0.06 | 1,389.98 | 1,428.31 | 0.000 | 0.079 | M10 vs. M9 | −10.10* | −4 | 0.00 |
M10. Quadratic | 27.25 | 27 | 0.45 | 0.99 | 0.99 | 0.01 | 0.05 | 1,383.35 | 1,433.48 | 0.000 | 0.066 | M11 vs. M10 | −1.29 | 0 | 0.01 |
M11. Piecewise | 25.96 | 27 | 0.52 | 1.00 | 1.00 | 0.00 | 0.05 | 1,382.16 | 1,432.29 | 0.000 | 0.063 | M11 vs. M9 | −11.75* | −4 | 0.01 |
χ2, chi-square; df, degrees of freedom; TLI, Tucker–Lewis index; CFI, comparative fit index; RMSEA, root-mean-square error of approximation; SRMR, standardized root mean square residual; AIC, Akaike information criterion; BIC, Bayes information criterion; LL, lower level; UL, upper level; *statistically significant (p < 0.05); I, intercept; S1, linear slope; S2, quadratic slope or Piece 2 slope; Δχ2, Satorra–Bentler scaled chi-square difference test. Underlined values = Best Fitting Model.