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. Author manuscript; available in PMC: 2017 Mar 1.
Published in final edited form as: Perspect Psychol Sci. 2016 Mar;11(2):175–194. doi: 10.1177/1745691615621271

Table 5.

Model Fit Statistics for Growth Mixture Models Determining Number of Classes for How Life Satisfaction Changes in Relation to Spousal Loss, Divorce, and Unemployment: Replication Part 2.

1-Class 2-Class 3-Class 4-Class 5-Class
Spousal Loss
Sample size
Nc = 1 1,214 582.58 653.10 657.35 613.19
Nc = 2 631.42 235.83 273.60 39.29
Nc = 3 325.07 24.01 194.09
Nc = 4 259.03 138.48
Nc = 5 228.96
Fit statistics
 # of free parameters 15 22 29 36 39
 BIC 39,292 38,490 38,423 38,419 38,438
 ABIC 39,244 38,420 38,331 38,305 38,314
 Entropy 0.574 0.537 0.644 0.588
Vuong-Lo-Mendell-Rubin LRT 0.0000 0.0054 0.1473 0.0050
Lo-Mendell-Rubin Adjusted LRT 0.0000 0.0059 0.1517 0.0055
Divorce
Sample size
Nc = 1 1,579 569.95 747.43 301.47 196.51
Nc = 2 1,009.05 531.61 610.95 586.40
Nc = 3 299.97 187.09 304.34
Nc = 4 479.49 3.17
Nc = 5 488.58
Fit statistics
 # of free parameters 15 22 29 36 40
 BIC 49,788 48,486 48,288 48,274 48,291
 ABIC 49,741 48,416 48,196 48,160 48,164
 Entropy 0.693 0.599 0.560 0.623
Vuong-Lo-Mendell-Rubin LRT 0.0000 0.0026 0.2080 0.4254
Lo-Mendell-Rubin Adjusted LRT 0.0000 0.0028 0.2139 0.4293
Unemployment
Sample size
Nc = 1 2,461 1,313.84 1,330.19 502.14 793.61
Nc = 2 1,147.16 730.15 301.61 482.20
Nc = 3 400.66 710.30 132.76
Nc = 4 946.95 408.48
Nc = 5 643.96
Fit statistics
 # of free parameters 15 31 46 55 58
 BIC 88,949 86,888 86,636 86,602 86,602
 ABIC 88,901 86,789 86,490 86,427 86,418
 Entropy 0.646 0.623 0.553 0.543
Vuong-Lo-Mendell-Rubin LRT 0.0000 0.0007 0.1945 0.0386
Lo-Mendell-Rubin Adjusted LRT 0.0000 0.0007 0.1969 0.0393

Note. Spousal Loss. In the 1-class model, the CFI was 0.863 and the RMSEA was 0.088. In the 5-class solution, in the 2nd class, the variance for intercept and slope factor (and its covariance) were set to 0 due to a correlation greater than +/−1 when allowing them to be freely estimated.

Divorce. In the 1-class model, the CFI was 0.879 and the RMSEA was 0.073. In the 5-class model, the variance for level and the latent basis slope factor (and the covariance) was set to 0 in the 4th class due to a correlation greater than +/−1 when allowing them to be freely estimated.

Unemployment. In the 1-class model, the CFI was 0.940 and the RMSEA was 0.060. In the 3-class solution, in the 3rd class, the covariance between the pre-event and post-event slopes was set to 0 due to a correlation greater than +/−1 when allowing them to be freely estimated. In the 4-class solution, the variance for the first slope factor (and its covariances) was set to 0 for the 2nd and 4th class due to a correlation greater than +/−1 when allowing them to be freely estimated. In the 5-class solution, the covariances were all set to 0 for each group due to a correlation greater than +/−1 when allowing them to be freely estimated.