Research Methods and Statistics Arena

Multilevel Modeling of Categorical Outcomes Using IBM SPSS

• By Ronald H Heck, Scott Thomas and Lynn Tabata.

Published April 2012

This is the first workbook that introduces readers to the multilevel approach to modeling with categorical outcomes using IBM SPSS Version 20. Readers learn how to set up, estimate, and interpret multilevel models with categorical outcomes. The authors walk readers step-by-step through data…
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IBM SPSS Statistics 19 Made Simple

• By Colin D. Gray, and Paul R. Kinnear.

Published August 2011

This new edition of one of the most widely read textbooks in its field introduces the reader to data analysis with the most powerful and versatile statistical package on the market: IBM SPSS Statistics 19. Each new release of SPSS Statistics features new options and other improvements. There…
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Quantitative Data Analysis with IBM SPSS 17, 18 & 19

A Guide for Social Scientists

• By Alan Bryman, and Duncan Cramer.

Published May 2011

This latest edition has been fully updated to accommodate the needs of users of SPSS Releases 17, 18 and 19 while still being applicable to users of SPSS Releases 15 and 16. As with previous editions, Alan Bryman and Duncan Cramer continue to offer a comprehensive and user-friendly introduction to…
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IBM SPSS for Intermediate Statistics

Use and Interpretation, Fourth Edition

• By Nancy L. Leech, Karen C. Barrett and George A. Morgan.

Published May 2011

Designed to help readers analyze and interpret research data using IBM SPSS, this user-friendly book shows readers how to choose the appropriate statistic based on the design, perform intermediate statistics, including multivariate statistics, interpret output, and write about the results. The book…
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IBM SPSS for Introductory Statistics

Use and Interpretation, Fourth Edition

• By George A. Morgan, Nancy L. Leech, Gene W. Gloeckner and Karen C. Barrett.

Published July 2010

Designed to help students analyze and interpret research data using IBM SPSS, this book describes the use of statistics in user-friendly, non-technical language to show readers how to choose the appropriate statistic based on the design, interpret output, and write about the results. The…
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Multilevel and Longitudinal Modeling with IBM SPSS

• By Ronald H. Heck, Scott L. Thomas and Lynn N. Tabata.

Published April 2010

This is the first book to demonstrate how to use the multilevel and longitudinal modeling techniques available in IBM SPSS Version 18. The authors tap the power of SPSS’s Mixed Models routine to provide an elegant and accessible approach to these models. Readers who have learned statistics using…
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Approaching Multivariate Analysis, 2nd Edition

A Practical Introduction

• By Pat Dugard, John Todman and Harry Staines.

Published November 2009

This fully updated new edition not only provides an introduction to a range of advanced statistical techniques that are used in psychology, but has been expanded to include new chapters describing methods and examples of particular interest to medical researchers. It takes a very practical approach…
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A Guide to Doing Statistics in Second Language Research Using SPSS

• By Jenifer Larson-Hall.

Published September 2009

This valuable book shows second language researchers how to use the statistical program SPSS to conduct statistical tests frequently done in SLA research. Using data sets from real SLA studies, A Guide to Doing Statistics in Second Language Research Using SPSS shows newcomers to both statistics and…
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SPSS for Psychologists

Fourth Edition

• By Nicola Brace, Richard Kemp, Rosemary Snelgar, Nicola Brace, Richard Kemp and Rosemary Snelgar.

Published May 2009

The new edition of this best-selling guide carefully leads the user through the process of using SPSS (now called PASW) versions 16 and 17 to analyze psychological data. The authors review the basic issues regarding design and proceed through all of the major statistical techniques used in…
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Applied Multivariate Statistics for the Social Sciences, Fifth Edition

• By James P. Stevens.

Published February 2009

This best-selling text is written for those who use, rather than develop statistical methods. Dr. Stevens focuses on a conceptual understanding of the material rather than on proving results. Helpful narrative and numerous examples enhance understanding and a chapter on matrix algebra serves as a…
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