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Investigating the Behaviors of M(2) and RMSEA(2) in Fitting a Unidimensional Model to Multidimensional Data
It has been widely known that the Type I error rates of goodness-of-fit tests using full information test statistics, such as Pearson’s test statistic χ(2) and the likelihood ratio test statistic G(2), are problematic when data are sparse. Under such conditions, the limited information goodness-of-f...
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| I publikationen: | Appl Psychol Meas |
|---|---|
| Huvudupphovsmän: | , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
SAGE Publications
2017
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5978478/ https://ncbi.nlm.nih.gov/pubmed/29881108 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0146621617710464 |
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