{"product_id":"latent-class-analysis-of-survey-error","title":"Latent Class Analysis of Survey Error","description":"Combining theoretical, methodological, and practical aspects, Latent Class Analysis of Survey Error successfully guides readers through the accurate interpretation of survey results for quality evaluation and improvement. This book is a comprehensive resource on the key statistical tools and techniques employed during the modeling and estimation of classification errors, featuring a special focus on both latent class analysis (LCA) techniques and models for categorical data from complex sample surveys.  \u003cp\u003eDrawing from his extensive experience in the field of survey methodology, the author examines early models for survey measurement error and identifies their similarities and differences as well as their strengths and weaknesses. Subsequent chapters treat topics related to modeling, estimating, and reducing errors in surveys, including:\u003c\/p\u003e \u003cul\u003e\n\u003cli\u003eMeasurement error modeling forcategorical data\u003c\/li\u003e\n\u003cli\u003eThe Hui-Walter model and othermethods for two indicators\u003c\/li\u003e\n\u003cli\u003eThe EM algorithm and its role in latentclass model parameter estimation\u003c\/li\u003e\n\u003cli\u003eLatent class models for three ormore indicators\u003c\/li\u003e\n\u003cli\u003eTechniques for interpretation of modelparameter estimates\u003c\/li\u003e\n\u003cli\u003eAdvanced topics in LCA, including sparse data, boundary values, unidentifiability, and local maxima\u003c\/li\u003e\n\u003cli\u003eSpecial considerations for analyzing datafrom clustered and unequal probability samples with nonresponse\u003c\/li\u003e\n\u003cli\u003eThe current state of LCA and MLCA (multilevel latent class analysis), and an insightful discussion on areas for further research\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eThroughout the book, more than 100 real-world examples describe the presented methods in detail, and readers are guided through the use of lEM software to replicate the presented analyses. Appendices supply a primer on categorical data analysis, and a related Web site houses the lEM software.\u003c\/p\u003e \u003cp\u003eExtensively class-tested to ensure an accessible presentation, Latent Class Analysis of Survey Error is an excellent book for courses on measurement error and survey methodology at the graduate level. The book also serves as a valuable reference for researchers and practitioners working in business, government, and the social sciences who develop, implement, or evaluate surveys.\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":54240588104024,"sku":"9780470289075","price":113.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9780470289075_36d8d492-b9e3-494b-ab6a-c6a3175f9729.jpg?v=1780398027","url":"https:\/\/agendabookshop.com\/products\/latent-class-analysis-of-survey-error","provider":"Agenda Bookshop","version":"1.0","type":"link"}