Typologies of stress appraisal and problem-focused coping: associations with compliance with public health recommendations during the COVID-19 pandemic

Table 1 Model Fit Statistics for Latent Class Analyses: Stress Appraisal & Problem-Focused Coping

Classes	LL (Deviance)	No. of Parameters	AIC	BIC	Relative Entropy
Entire sample (N = 1,355)
2	-14,643.168	39	29,364.34	29,567.59	.804
3	-14,173.596	59	28,465.19	28,772.67	.815
4	-14,020.537	79	28,199.07	28,610.79	.801
5	-13,889.167	99	27,976.33	28,492.29	.779
6	-13,789.066	119	27,816.13	28,436.31	.774
7	-13,724.403	139	27,726.81	28,451.21	.793
8	-13,685.043	159	27,688.09	28,516.72	.801
Women only (n = 821)
2	-8834.239	39	17,746.48	17,930.19	.801
3	-8569.333	59	17,256.66	17,534.59	.814
4	-8476.134	79	17,110.27	17,482.39	.803
5	-8391.995	99	16,981.99	17,448.33	.792
6	-8322.052	119	16,882.11	17,442.66	.784
7	-8271.293	139	16,820.59	17,475.35	.798
8	-8244.528	159	16,807.06	17,556.03	.805
Men only (n = 534)
2	-5754.013	39	11,586.03	11,752.96	.819
3	-5532.094	59	11,182.19	11,434.73	.833
4	-5461.489	79	11,080.98	11,419.13	.837
5	-5392.192	99	10,982.38	11,406.14	.826
6	-5352.988	119	10,943.98	11,453.34	.839
7	-5339.384	139	10,956.77	11,551.74	.840
8	-5311.558	159	10,941.12	11,621.70	.848

LL Log-likelihood statistics, AIC Akaike Information Criterion, BIC Bayesian Information Criterion
Model fit indices reflect mean values over 20 imputations adjusted for uncertainty. Relative entropy is a summary measure of classification certainty once posterior class probabilities are obtained and can be computed for k > 1-class models. Some model fit statistics (e.g., Lo-Mendell-Rubin likelihood ratio test) are not available with multiply imputed data

ISSN: 1471-2458