Latent variable models for ordinal data
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Latent variable models with observed ordinal variables are particularly useful for analyzing survey data. Typical ordinal variables express attitudinal statements with response alternatives like “strongly disagree”, “disagree”, “strongly agree” or “very dissatisfied”, “dissatisfied”, “satisfied” and “very satisfied”.
KeywordsMarginal Distribution Item Response Theory Ordinal Data Latent Variable Model Proportional Odds Model
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