{"product_id":"longitudinal-structural-equation-modeling-hardcover","title":"Longitudinal Structural Equation Modeling - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eTodd D. Little\u003c\/b\u003e (Author), \u003cb\u003eNoel A. Card\u003c\/b\u003e (Foreword by)\u003c\/p\u003e\u003cp\u003e\u003cb\u003eThis valuable book is now in a fully updated second edition that presents the latest developments in longitudinal structural equation modeling (SEM) and new chapters on missing data, the random intercepts cross-lagged panel model (RI-CLPM), longitudinal mixture modeling, and Bayesian SEM. \u003c\/b\u003eEmphasizing a decision-making approach, leading methodologist Todd D. Little describes the steps of modeling a longitudinal change process. He explains the big picture and technical how-tos of using longitudinal confirmatory factor analysis, longitudinal panel models, and hybrid models for analyzing within-person change. User-friendly features include equation boxes that translate all the elements in every equation, tips on what does and doesn't work, end-of-chapter glossaries, and annotated suggestions for further reading. The companion website provides data sets for the examples--including studies of bullying and victimization, adolescents' emotions, and healthy aging--along with syntax and output, chapter quizzes, and the book's figures. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e New to This Edition: \u003cbr\u003e *Chapter on missing data, with a spotlight on planned missing data designs and the R-based package PcAux. \u003cbr\u003e *Chapter on longitudinal mixture modeling, with Whitney Moore. \u003cbr\u003e *Chapter on the random intercept cross-lagged panel model (RI-CLPM), with Danny Osborne. \u003cbr\u003e *Chapter on Bayesian SEM, with Mauricio Garnier. \u003cbr\u003e *Revised throughout with new developments and discussions, such as how to test models of experimental effects. \u003cbr\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eTodd D. Little, PhD, is Professor of Educational Psychology, Leadership, and Counseling at Texas Tech University, in the Research, Evaluation, Measurement, and Statistics program. He is also an Extraordinary Professor at the Optentia Research Focus Area, North-West University, Vanderbijlpark, South Africa. Dr. Little is a Fellow of the American Association for the Advancement of Science; the American Psychological Association (APA) Divisions 5, 7, and 15; and the Association for Psychological Science. He is editor of Guilford's Methodology in the Social Sciences series and past president of APA Division 5 (Evaluation, Measurement, and Statistics). Dr. Little organizes and teaches in his renowned \"Stats Camp\" (statscamp.org) each June. Partly because of the impact and importance of Stats Camp, Dr. Little was awarded the Cohen Award for Distinguished Contributions to Teaching and Mentoring from APA Division 5 and the inaugural Teaching and Mentoring Award from the Society for Research in Child Development.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 616\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.3 x 10.1 x 7.1 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 02, 2024\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47340714426617,"sku":"9781462553143","price":150.66,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/wyjE3dERvB9781462553143.webp?v=1769693501","url":"https:\/\/bookscloud.io\/products\/longitudinal-structural-equation-modeling-hardcover","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}