An Introduction to Multilevel Modeling Techniques: MLM and SEM Approaches Using Mplus (4) (Quantitative Methodology Series)

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Synopsis
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-section, 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.
Copyright:
2020

Book Details

Book Quality:
Publisher Quality
ISBN-13:
9780429594373
Related ISBNs:
9780429060274, 9780367182427, 9780367182427, 9780367182441, 9780367182441
Publisher:
Taylor and Francis
Date of Addition:
Copyrighted By:
Taylor & Francis Group
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Business and Finance, Psychology, Education, Mathematics and Statistics
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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