The Poverty-Related Stress Scale: Development and Validation of a Multidimensional Measure Assessing Poverty-Related Stressors

Table 4

Model fit statistics.

Fit indices	Cut-off criterion	Sensitive to	Penalty for model complexity
Absolute fit indices
Chi-square ()	(i) Lowest comparative value between measurement models; (ii) Nonsignificant chi-square (); (iii) Significant difference in chi-square between models; (iv) For model comparison: retain the model with the lowest chi-square	Yes	Yes
Approximate fit indices
Root mean square error of approximation (RMSEA)	(i) 0.06 to 0.08 (marginally acceptable); 0.01 to 0.05 (excellent); (ii) Not-significant (); (iii) 90% confidence interval Rande should not include zero; (iv) For invariance: retain model where	Yes	Yes
Standardized root mean square residual (SRMR)	(i) 0.06 to 0.08 (marginally acceptable); 0.01 to 0.05 (excellent)	Yes	No
Incremental fit indices
Comparative fit index (CFI)	(i) 0.90 to 0.95 (marginally acceptable fit); 0.96 to 0.99 (excellent); (ii) For invariance: retain model with highest CFI value ()	No	Yes
Tucker-Lewis Index (TLI)	(i) 0.90 to 0.95 (marginally acceptable fit); 0.96 to 0.99 (excellent); (ii) For invariance: retain model with highest TLI value ()	No	Yes
Akaike information criterion (AIC)	(i) For model comparison: retain the model with the lowest value	No	No
Bayes information criterion (BIC)	(i) For model comparison: retain the model with the lowest value	No	No
Sample-size adjusted BIC (aBIC)	(i) For model comparison: retain the model with the lowest value	No	No

Note. Table adapted from Van Zyl & Ten Klooster [48].