You are in: South Asia
Change location

You are here

Book > Textbooks > Research Methods & Evaluation
Introduction to Modern Modelling Methods
Share
Share

Introduction to Modern Modelling Methods

Additional resources:
Online Resources
March 2022 | 304 pages | SAGE Publications Ltd
Download flyer Recommend to Library

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.

 
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

Supplements

Find the Online Resources

D. Betsy McCoach

D. Betsy McCoach, 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. McCoach 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. McCoach founded the Modern Modeling Methods conference. Dr. McCoach is co-Principal Investigator for the National Center for... More About Author

Dakota Cintron

Dr. Dakota Cintron, Ph.D., is a postdoctoral scholar for the Evidence for Action (E4A) Methods Laboratory. Dr. Cintron’s research focuses on the application, development, and assessment of quantitative methods in the social and behavioral sciences. His areas of research interest include topics such as item response theory, latent variable and structural equation modeling, longitudinal data analysis, hierarchical linear modeling, and causal inference. Dr. Cintron earned his Ph.D. in Educational Psychology from the University of Connecticut. He has previously held research positions at the Institute for Health, Health Care Policy and Aging... More About Author

Purchasing options

Please select a format:

ISBN: 9781526424037
£31.99

Order from:

Related Products

Statistical Approaches to Causal Analysis
Statistical Approaches to Causal Analysis
SAGE Research Methods Promotion

SAGE Research Methods is a research methods tool created to help researchers, faculty and students with their research projects. SAGE Research Methods links over 175,000 pages of SAGE’s renowned book, journal and reference content with truly advanced search and discovery tools. Researchers can explore methods concepts to help them design research projects, understand particular methods or identify a new method, conduct their research, and write up their findings. Since SAGE Research Methods focuses on methodology rather than disciplines, it can be used across the social sciences, health sciences, and more.

Find out more