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- W103468612 abstract "swain and swaini correct the chi-square overidentification test (i.e., likelihood ratio test of fit) for structural equation models whether with or without latent variables. The chi-square statistic is asymptotically correct; however, it does not behave as expected in small samples and/or when the model is complex (cf. Herzog, Boomsma, & Reinecke, 2007). Thus, particularly in situations where the ratio of sample size to the number of parameters estimated is relatively small, the chi-square test will tend to overreject correctly specified models. To obtain a closer approximation to the distribution of the chi-square statistic, Swain (1975) developed a correction; this scaling factor, which converges to 1 asymptotically, is multiplied with the chi-square statistic. The correction better approximates the chi-square distribution resulting in more appropriate Type 1 reject error rates (see Herzog & Boomsma, 2009; Herzog, et al., 2007)." @default.
- W103468612 created "2016-06-24" @default.
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- W103468612 date "2013-04-07" @default.
- W103468612 modified "2023-09-27" @default.
- W103468612 title "SWAIN: Stata module to correct the SEM chi-square overidentification test in small sample sizes or complex models" @default.
- W103468612 hasPublicationYear "2013" @default.
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