{"product_id":"structural-equations-with-latent-variables-210-wiley-series-in-probability-and-statistics-9780471011712","title":"Structural Equations with Latent Variables 210","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eAnalysis of Ordinal Categorical Data Alan Agresti Statistical Science Now has its first coordinated manual of methods for analyzing ordered categorical data. This book discusses specialized models that, unlike standard methods underlying nominal categorical data, efficiently use the information on ordering.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eModel Notation, Covariances, and Path Analysis.\u003cbr\u003e \u003cbr\u003e Causality and Causal Models.\u003cbr\u003e \u003cbr\u003e Structural Equation Models with Observed Variables.\u003cbr\u003e \u003cbr\u003e The Consequences of Measurement Error.\u003cbr\u003e \u003cbr\u003e Measurement Models: The Relation Between Latent and ObservedVariables.\u003cbr\u003e \u003cbr\u003e Confirmatory Factor Analysis.\u003cbr\u003e \u003cbr\u003e The General Model, Part I: Latent Variable and Measurement ModelsCombined.\u003cbr\u003e \u003cbr\u003e The General Model, Part II: Extensions.\u003cbr\u003e \u003cbr\u003e Appendices.\u003cbr\u003e \u003cbr\u003e Distribution Theory.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e Index.","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402476888407,"sku":"9780471011712","price":140.35,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780471011712.jpg?v=1730480520","url":"https:\/\/bookcurl.com\/products\/structural-equations-with-latent-variables-210-wiley-series-in-probability-and-statistics-9780471011712","provider":"Book Curl","version":"1.0","type":"link"}