An Introduction to Multilevel Modeling Techniques: MLM and Sem Approaches

Name: An Introduction to Multilevel Modeling Techniques: MLM and Sem Approaches
Brand: Taylor & Francis
SKU: 9780367182427
Price: 17643.0 INR
Availability: InStock

by Ronald Heck

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ISBN13: 9780367182427
Binding: Hardcover
Subject: N/A
Publisher: Taylor & Francis
Publisher Imprint: Routledge
Publication Date: April 7, 2020
Pages: 440
Original Price: GBP 210.0
Language: English
Edition: N/A
Item Weight: 708 grams
BISAC Subject(s): Research & Methodology, Statistics, and Statistics

About The Book

Multilevel modelling is a data analysis method that is frequently used to investigate hierarchal data structures in educational, behavioural, health, and social sciences disciplines. Multilevel data analysis exploits data structures that cannot be adequately investigated using single-level analytic methods such as multiple regression, path analysis, and structural modelling. This text offers a comprehensive treatment of multilevel models for univariate and multivariate outcomes. It explores their similarities and differences and demonstrates why one model may be more appropriate than another, given the research objectives.

New to this edition:

An expanded focus on the nature of different types of multilevel data structures (e.g., cross-sectional, longitudinal, cross-classified, etc.) for addressing specific research goals;

Varied modelling methods for examining longitudinal data including random-effect and fixed-effect approaches;

Expanded coverage illustrating different model-building sequences and how to use results to identify possible model improvements;

An expanded set of applied examples used throughout the text;

Use of four different software packages (i.e., Mplus, R, SPSS, Stata), with selected examples of model-building input files included in the chapter appendices and a more complete set of files available online.

This is an ideal text for graduate courses on multilevel, longitudinal, latent variable modelling, multivariate statistics, or advanced quantitative techniques taught in psychology, business, education, health, and sociology. Recommended prerequisites are introductory univariate and multivariate statistics.

About The Author

Ronald H. Heck is Professor of Education at the University of Hawai'i at Mānoa. His areas of interest include organizational theory, policy, and quantitative research methods.

Scott L. Thomas is Professor and Dean of the College of Education and Social Services, University of Vermont. His specialties include sociology of education, policy, and quantitative research methods

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