Multilevel Modeling of Categorical Outcomes Using IBM SPSS (Quantitative Methodology Series)

by Ronald H Heck

Multilevel Modeling of Categorical Outcomes Using IBM SPSS by Heck, Thomas and Tabata. This book complement an earlier publication by this group of authors and is following the same rationale: How to make advanced analysis of complex structures of multilevel data available for as many researchers as possible. We all encounter data that do not behave "nicely", such as categorical data and count data, but many times we tend to ignore this kind of problems as they imply more advanced modeling strategies. In this book the authors show that this is possible if we follow their methodological procedure step by step to get interpretable results. Again, like their earlier publication the author present these problem solving techniques in a research report format – define the study question, define the data, select the appropriate modeling strategy, get results, report results, interpret results. In my work as a statistical consultant I frequently look into new statistical software packages to advance my analyses, but this book proves that IBM SPSS has a lot to offer before we broaden our arsenal. The authors bring in the friendly environment concept of SPSS which is still attractive for whoever does not like to spend so much time on programing. Before running into more complex analyses why not using easily this package while reading the book for excellent clear instructions? The book covers topic such as specifications of analytical procedures; alternative outcome variables and their definitions; how to model data when the outcomes are categorical, dichotomous, or ordinal; the multilevel adjustment to these non-continuous models.

Dr. Gabriel Liberman – Data-Graph Statistical Consulting.

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