Chi‐square for model fit in confirmatory factor analysis
نویسندگان
چکیده
منابع مشابه
Ignoring Clustering in Confirmatory Factor Analysis: Some Consequences for Model Fit and Standardized Parameter Estimates.
In many situations, researchers collect multilevel (clustered or nested) data yet analyze the data either ignoring the clustering (disaggregation) or averaging the micro-level units within each cluster and analyzing the aggregated data at the macro level (aggregation). In this study we investigate the effects of ignoring the nested nature of data in confirmatory factor analysis (CFA). The bias ...
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ژورنال
عنوان ژورنال: Journal of Advanced Nursing
سال: 2020
ISSN: 0309-2402,1365-2648
DOI: 10.1111/jan.14399