Literaturnachweis - Detailanzeige
Autor/in | Little, Todd D. |
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Sonst. Personen | Card, Noel A. (Vorr.) |
Titel | Longitudinal structural equation modeling. |
Quelle | New York, NY u.a.: Guilford Press (2013), XXII, 386 S. |
Reihe | Methodology in the social sciences |
Beigaben | grafische Darstellungen; Literaturangaben S. 355-366 |
Zusatzinformation | Inhaltsverzeichnis Zusatzmaterial des Verlags |
Sprache | englisch |
Dokumenttyp | gedruckt; Monographie |
ISBN | 1-4625-1016-7; 978-1-4625-1016-0 |
Schlagwörter | Längsschnittuntersuchung; Methode; Strukturgleichungsmodell; Lehrbuch; Datenanalyse; Gleichung (Math) |
Abstract | Featuring actual datasets 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 (www.guilford.com/little-materials) provides datasets 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). (DIPF/Orig.). |
Erfasst von | DIPF | Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main |
Update | 2015/4 |