Latent Class Analysis
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Latent class analysis is a powerful tool for analyzing the structure of relationships among categorically scored variables. It enables researchers to explore the suitability of combining two or more categorical variables into typologies or scales. It also provides a method for testing hypotheses regarding the latent structure among categorical variables. This important method provides researchers with a powerful and flexible new technique for analyzing the structure of relationships among categorically scored variables. Frequently described as a "categorical data analogue to factor analysis", the method enables researchers to explore the suitability of combining two or more categorical variables into typologies or scales.
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Latent class analysis is a powerful tool for analyzing the structure of relationships among categorically scored variables. It enables researchers to explore the suitability of combining two or more categorical variables into typologies or scales. It also provides a method for testing hypotheses regarding the latent structure among categorical variables. This important method provides researchers with a powerful and flexible new technique for analyzing the structure of relationships among categorically scored variables. Frequently described as a "categorical data analogue to factor analysis", the method enables researchers to explore the suitability of combining two or more categorical variables into typologies or scales.
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