Regression Analysis and Multivariate Statistics

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Regression Unplugged

  • By Sally Caldwell.

Published March 2010


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Approaching Multivariate Analysis, 2nd edition

A Practical Introduction

Approaching Multivariate Analysis, 2nd edition
  • 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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Applied Multivariate Statistics for the Social Sciences, Fifth Edition

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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An Introduction to Applied Multivariate Analysis

  • By Tenko Raykov, and George A. Marcoulides.

Published March 2008

This comprehensive text introduces readers to the most commonly used multivariate techniques at an introductory, non-technical level. By focusing on the fundamentals, readers are better prepared for more advanced applied pursuits, particularly on topics that are most critical to the behavioral…
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Approaching Multivariate Analysis

An Introduction for Psychology

Approaching Multivariate Analysis
  • By John Todman, and Pat Dugard.

Published May 2007

Approaching Multivariate Analysis provides an introduction to a range of advanced statistical techniques that are used in psychology, in an accessible, non-mathematical way. The authors take a practical approach with an emphasis on helping the reader to gain an understanding of what each method is…
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Introduction to the Taxometric Method

A Practical Guide

  • By John Ruscio, Nick Haslam and Ayelet Meron Ruscio.

Published April 2006

Introduction to the Taxometric Method is a user-friendly, practical guide to taxometric research. Drawing from both classic and contemporary research, it provides a comprehensive introduction to the method. With helpful tools and guidance, the book is intended to teach those new to the method, as…
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The Essence of Multivariate Thinking

Basic Themes and Methods, Second Edition

The Essence of Multivariate Thinking
  • By Lisa L. Harlow, and Lisa L. Harlow.

Published January 2005

The Essence of Multivariate Thinking is intended to make multivariate statistics more accessible to a wide audience. To encourage a more thorough understanding of multivariate methods, author Lisa Harlow suggests basic themes that run through most statistical methodology. The most pervasive theme…
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New Developments in Categorical Data Analysis for the Social and Behavioral Sciences

New Developments in Categorical Data Analysis for the Social and Behavioral Sciences
  • Edited by L. Andries van der Ark, Marcel A. Croon and Klaas Sijtsma.

Published November 2004

Categorical data are quantified as either nominal variables--distinguishing different groups, for example, based on socio-economic status, education, and political persuasion--or ordinal variables--distinguishing levels of interest, such as the preferred politician or the preferred type of…
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Categorical Data Analysis With Sas and Spss Applications

Categorical Data Analysis With Sas and Spss Applications
  • By Bayo Lawal, and H. Bayo Lawal.

Published April 2003

This book covers the fundamental aspects of categorical data analysis with an emphasis on how to implement the models used in the book using SAS and SPSS. This is accomplished through the frequent use of examples, with relevant codes and instructions, that are closely related to the problems in the…
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Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences
  • By Jacob Cohen, Patricia Cohen, Stephen G. West and Leona S. Aiken.

Published July 2002

This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its verbal-conceptual exposition and frequent use of examples. The applied emphasis provides clear illustrations of the principles and provides worked examples of the…
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