{"product_id":"latent-class-and-latent-transition-analysis","title":"Latent Class and Latent Transition Analysis","description":"\u003cb\u003eA modern, comprehensive treatment of latent class and latent transition analysis for categorical data\u003c\/b\u003e  \u003cp\u003eOn a daily basis, researchers in the social, behavioral, and health sciences collect information and fit statistical models to the gathered empirical data with the goal of making significant advances in these fields. In many cases, it can be useful to identify latent, or unobserved, subgroups in a population, where individuals' subgroup membership is inferred from their responses on a set of observed variables. \u003ci\u003eLatent Class and Latent Transition Analysis\u003c\/i\u003e provides a comprehensive and unified introduction to this topic through one-of-a-kind, step-by-step presentations and coverage of theoretical, technical, and practical issues in categorical latent variable modeling for both cross-sectional and longitudinal data.\u003c\/p\u003e \u003cp\u003eThe book begins with an introduction to latent class and latent transition analysis for categorical data. Subsequent chapters delve into more in-depth material, featuring:\u003c\/p\u003e \u003cul\u003e\n\u003cli\u003e \u003cp\u003eA complete treatment of longitudinal latent class models\u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003e \u003cp\u003eFocused coverage of the conceptual underpinnings of interpretation and evaluationof a latent class solution\u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003e \u003cp\u003eUse of parameter restrictions and detection of identification problems\u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003e \u003cp\u003eAdvanced topics such as multi-group analysis and the modeling and interpretation of interactions between covariates\u003c\/p\u003e \u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eThe authors present the topic in a style that is accessible yet rigorous. Each method is presented with both a theoretical background and the practical information that is useful for any data analyst. Empirical examples showcase the real-world applications of the discussed concepts and models, and each chapter concludes with a \"Points to Remember\" section that contains a brief summary of key ideas. All of the analyses in the book are performed using Proc LCA and Proc LTA, the authors' own software packages that can be run within the SAS® environment. A related Web site houses information on these freely available programs and the book's data sets, encouraging readers to reproduce the analyses and also try their own variations.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eLatent Class and Latent Transition Analysis\u003c\/i\u003e is an excellent book for courses on categorical data analysis and latent variable models at the upper-undergraduate and graduate levels. It is also a valuable resource for researchers and practitioners in the social, behavioral, and health sciences who conduct latent class and latent transition analysis in their everyday work.\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":54257461592408,"sku":"9780470228395","price":120.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9780470228395_765a1a29-247a-483c-ab43-3b2ad75d46c7.jpg?v=1780027265","url":"https:\/\/agendabookshop.com\/products\/latent-class-and-latent-transition-analysis","provider":"Agenda Bookshop","version":"1.0","type":"link"}