Longitudinal Structural Equation Modeling - Todd D. Little

Longitudinal Structural Equation Modeling

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Autor: Todd D. Little

Wydawnictwo: Guilford Press
ISBN: 9781462510160
EAN:
Format: ...
Oprawa: twarda
Stron: 374
Data wydania: 2013-09-01
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Featuring actual data sets as illustrative examples, this book reveals numerous ways to apply structural equation modeling (SEM) to any repeated-measures study. Initial chapters lay the groundwork for modeling a longitudinal change process, from measurement, design, and specification issues to model evaluation and interpretation. Covering both big-picture ideas and technical "how-to-do-it" details, the author deftly walks through when and how to use longitudinal confirmatory factor analysis, longitudinal panel models (including the multiple-group case), multilevel models, growth curve models, and complex factor models, as well as models for mediation and moderation. User-friendly features include equation boxes that clearly explain the elements in every equation, end-of-chapter glossaries, and annotated suggestions for further reading. The companion website provides data sets for all of the examples-which include studies of bullying, adolescent students' emotions, and healthy aging-with syntax and output from LISREL, Mplus, and R (lavaan). "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, Vanderbilt University, Tennessee, USA "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, Tufts University, Massachusetts, USA

Książka "Longitudinal Structural Equation Modeling"
Todd D. Little