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"It is rare for a scholar or a teacher to simultaneously demonstrate wisdom, erudition, vision for the future of the field, and the capacity to explain complex ideas and methods to beginners, while also advancing the skill sets of seasoned researchers. Yet these valued attributes are all found...
|a Longitudinal structural equation modeling /
|c Todd D. Little.
260
|a New York, NY :
|b The Guilford Press,
|c 2013
300
|a xxii, 386 p. :
|b il.
504
|a Incluye bibliografía.
505
0
|a Overview and foundations of structural equation modeling -- Design issues in longitudinal studies -- The measurement model -- Model fit, sample size, and power -- The longitudinal CFA model -- Specifying and interpreting a longitudinal panel model -- Multiple-group models -- Multilevel growth curves and multilevel SEM -- Mediation and moderation -- Jambalaya : complex construct representations and decompositions.
520
3
|a "It is rare for a scholar or a teacher to simultaneously demonstrate wisdom, erudition, vision for the future of the field, and the capacity to explain complex ideas and methods to beginners, while also advancing the skill sets of seasoned researchers. Yet these valued attributes are all found in abundance in this volume. This is more than a book about longitudinal SEM; it is a guide to understanding and conducting good science. If any book can be identified as a classic on publication, this one certainly can."--Richard M. Lerner, PhD, Bergstrom Chair in Applied Developmental Science, and Director, Institute for Applied Research in Youth Development, Tufts University "Novices and experts alike will learn something new from this book. Little is a born teacher, and it shows in his writing. His approach assumes little background knowledge and provides an entree to the literature for students and researchers who want to know more. Examples from Little's experience as an applied researcher make the concepts concrete and accessible. This is an ideal text to accompany graduate courses on SEM or longitudinal data analysis and a useful reference for researchers who want to add longitudinal SEM to their methodological toolboxes."--Kristopher J. Preacher, PhD, Department of Psychology and Human Development, Vanderbilt University "Little has used his gifts as a researcher, teacher, and writer to create a wonderfully accessible volume that will benefit applied researchers and graduate students alike. Each chapter is complete with highly readable explanations, fresh and interesting examples drawn from the author's own considerable experience, beautifully detailed figures, practical modeling tips and tricks, and extensive supporting materials on the Web, all woven together with welcome doses of humor and personality."--Gregory R. Hancock, PhD.
