Dakota Cintron & D. Betsy McCoach Introduction to Modern Modelling Methods

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Using simple and direct language, this concise text provides practical guidance on a wide range of modeling methods and techniques for use with quantitative data. It covers:

· 2-level Multilevel Models

· Structural Equation Modeling (SEM)

· Longitudinal Modeling using multilevel and SEM techniques

· Combining organizational and longitudinal models

Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.

€42.99

Table of Content

Clustering and Dependence: Our Entry into Multilevel Modeling

Multilevel Modeling: A Conceptual Introduction

Multilevel Model Building Steps and Example

Introduction to Structural Equation Modeling

Specification and Identification of Structural Equation Models

Building Structural Equation Models

Longitudinal Growth Curve Models in MLM and SEM

An Applied Example of Growth Curve Modeling in MLM and SEM

About the author

D. Betsy Mc Coach, Ph.D., is professor of Research Methods, Measurement, and Evaluation in the Educational Psychology department at the University of Connecticut, where she teaches graduate courses in Structural Equation Modeling, Multilevel Modeling, Advances in Latent Variable Modeling, and Instrument Design. Dr. Mc Coach has co-authored over 100 peer-reviewed journal articles, book chapters, and books, including Instrument Design in the Affective Domain and Multilevel Modeling of Educational Data. In 2011, Dr. Mc Coach founded the Modern Modeling Methods conference. Dr. Mc Coach is co-Principal Investigator for the National Center for Research on Gifted Education and has served as Principal Investigator, co-Principal Investigator, and/or research methodologist for several other federally-funded research projects/grants. Dr. Mc Coach’s research interests include latent variable modeling, multilevel modeling, longitudinal modeling, instrument design, and gifted education.

Language English ● Format EPUB ● Pages 304 ● ISBN 9781529711097 ● File size 10.5 MB ● Publisher SAGE Publications ● City London ● Country GB ● Published 2022 ● Edition 1 ● Downloadable 24 months ● Currency EUR ● ID 8325599 ● Copy protection Adobe DRM

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