Skip to main content
. 2021 Mar 10;12:633533. doi: 10.3389/fpsyg.2021.633533

TABLE 4.

Unconditional latent growth model fit statistics, unstandardized means, and variances.

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.