This is the first workbook that introduces the multilevel
approach to modeling with categorical outcomes using IBM SPSS
Version 20. Readers learn how to develop, estimate, and interpret
multilevel models with categorical outcomes. The authors walk
readers through data management, diagnostic tools, model
conceptualization, and model specification issues related to
single-level and multilevel models with categorical outcomes.
Screen shots clearly demonstrate techniques and navigation of the
program. Modeling syntax is provided in the appendix. Examples of
various types of categorical outcomes demonstrate how to set up
each model and interpret the output. Extended examples illustrate
the logic of model development, interpretation of output, the
context of the research questions, and the steps around which the
analyses are structured. Readers can replicate examples in each
chapter by using the corresponding data and syntax files available
at www.psypress.com/9781848729568.
The book opens with a review of multilevel with categorical
outcomes, followed by a chapter on IBM SPSS data management
techniques to facilitate working with multilevel and longitudinal
data sets. Chapters 3 and 4 detail the basics of the single-level
and multilevel generalized linear model for various types of
categorical outcomes. These chapters review underlying concepts to
assist with trouble-shooting common programming and modeling
problems. Next population-average and unit-specific longitudinal
models for investigating individual or organizational developmental
processes are developed. Chapter 6 focuses on single- and
multilevel models using multinomial and ordinal data followed by a
chapter on models for count data. The book concludes with
additional trouble shooting techniques and tips for expanding on
the modeling techniques introduced.
Ideal as a supplement for graduate level courses and/or
professional workshops on multilevel, longitudinal, latent variable
modeling, multivariate statistics, and/or advanced quantitative
techniques taught in psychology, business, education, health, and
sociology, this practical workbook also appeals to researchers in
these fields. An excellent follow up to the authors' highly
successful Multilevel and Longitudinal Modeling with IBM SPSS and
Introduction to Multilevel Modeling Techniques, 2nd Edition, this
book can also be used with any multilevel and/or longitudinal book
or as a stand-alone text introducing multilevel modeling with
categorical outcomes.
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