Understanding Structural Equation Models: Models of Relationships Between Variables (Chapman & Hall/Crc Statistics in the Social and Behavioral Sciences) - Softcover

Wood, Phillip K.

Softcover

ISBN 10: 1032962429 ISBN 13: 9781032962429

Verlag: Chapman and Hall/CRC, 2025

Inhaltsangabe

Designed for graduate students, early-career researchers, and advanced undergraduates who wish to move beyond plug-and-play SEMs to a deeper, more philosophical and data-conscious understanding.

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Über die Autorin bzw. den Autor

Phillip K. Wood is Professor of Psychological Sciences at the University of Missouri-Columbia, where he has taught graduate seminars in quantitative methods, including beginning and advanced structural equation modeling (SEM), for over 30 years

He earned his Ph.D. in Educational Psychology and Measurement from the University of Minnesota, and earlier degrees from the University of Iowa and Wartburg College.

Dr. Wood's research spans advanced latent variable modeling techniques-particularly SEM, latent growth, growth-mixture models, state-trait modeling, longitudinal data analysis and models for longitudinally intensive data as applied to developmental processes, substance abuse within young adult populations and life-span development.

A strong advocate of methodological transparency and reproducibility, Wood maintains open-access resources, including SAS, Mplus, lavaan, and Onyx code, accessible through his university-hosted repositories

He regularly moderates the Transcontinental Karl Popper Conference, which explores philosophy of science in psychological research, highlighting his commitment to the interplay between methodological rigor and theoretical skepticism.

Combining decades of classroom instruction with cutting-edge research, Phillip Wood brings a practical, data-conscious perspective fueled by a belief that SEM should be inquisitive, skeptical, and disciplined-a perfect guide for readers navigating the complexities of latent variable modeling.

Details zur Ausgabe

• Verlag: Chapman and Hall/CRC
• Erscheinungsdatum: 2025
• Sprache: Englisch
• ISBN 10: 1032962429
• ISBN 13: 9781032962429
• Einband: Taschenbuch
• Anzahl der Seiten: 402
• Kontakt zum Hersteller: preigu GmbH & Co. KG; mail@preigu.de; ; Lengericher Landstr. 19; Osnabrück; Niedersachsen; 49078; Deutschland