Multilevel modeling of categorical outcomes using IBM SPSS

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Bibliographic Information

Title
"Multilevel modeling of categorical outcomes using IBM SPSS"
Statement of Responsibility
Ronald H. Heck, Scott L.Thomas, Lynn N. Tabata
Publisher
  • Routledge
Publication Year
  • c2012
Book size
29 cm
Series Name / No
  • : hbk
  • : pbk

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Notes

Summary: "Preface Multilevel modeling has become a mainstream data analysis tool over the past decade, now figuring prominently in a range of social and behavioral science disciplines. Where it originally required specialized software, mainstream statistics packages such as IBM SPSS, SAS, and Stata all have included routines for multilevel modeling in their programs. Although some devotees of these statistical packages have been making good use of the relatively new multilevel modeling functionality, progress has been slower in carefully documenting these routines to facilitate meaningful access to the average user. Two years ago we developed Multilevel and Longitudinal Modeling with IBM SPSS to demonstrate how to use these techniques in IBM SPSS Version 18. Our focus was on developing a set of concepts and programming skills within the IBM SPSS environment that could be used to develop, specify, and test a variety of multilevel models with continuous outcomes, since IBM SPSS is a standard analytic tool used

Includes bibliographical references and index

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