S5E21 Multilevel Factor Analysis: But What Do The Factors Mean?!
Quantitude
Merge Statistical Techniques for Deeper Understanding
Combining confirmatory factor analysis with multi-level models creates a challenging yet intriguing analytical task. However, the true complexity lies in interpreting the results and understanding their implications, rather than just the quantitative aspect. When tackling nested data with multi-level confirmatory factor analysis, key considerations include the dimensionality of trust, the relationship between items and latent factors, and deriving ideal scores.
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