Research Methods and Statistics Arena

Statistics Tables

For Mathematicians, Engineers, Economists and the Behavioural Management Sciences

• By Henry Neave.

Published October 2010

For three decades, Henry Neave’s Statistics Tables has been the gold standard for all students taking an introductory statistical methods course as part of their wider degree in a host of disciplines including mathematics, economics, business and management, geography and psychology. The period has…
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Elementary Statistics Tables

• By Henry Neave.

Published October 2010

This book, designed for students taking a basic introductory course in statistical analysis, is far more than just a book of tables. Each table is accompanied by a careful but concise explanation and useful worked examples. Requiring little mathematical background, Elementary Statistics Tables is…
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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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Statistics in Plain English, Third Edition

• By Timothy C. Urdan.

Published May 2010

This inexpensive paperback provides a brief, simple overview of statistics to help readers gain a better understanding of how statistics work and how to interpret them correctly. Each chapter describes a different statistical technique, ranging from basic concepts like central tendency and…
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Research Design and Statistical Analysis

Third Edition

• By Jerome L. Myers, Arnold D. Well and Robert F. Lorch Jr.

Published May 2010

Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data. The book’s goal is to provide a strong conceptual foundation to enable readers to generalize concepts to new research situations.&…
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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 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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Statistical Misconceptions

• By Schuyler W. Huck.

Published November 2008

Brief and inexpensive, this engaging book helps readers identify and then discard 52 misconceptions about data and statistical summaries. The focus is on major concepts contained in typical undergraduate and graduate courses in statistics, research methods, or quantitative analysis. Fun interactive…
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Statistical and Methodological Myths and Urban Legends

Doctrine, Verity and Fable in Organizational and Social Sciences

• Edited by Charles E. Lance, and Robert J Vandenberg.

Published October 2008

This book provides an up-to-date review of commonly undertaken methodological and statistical practices that are sustained, in part, upon sound rationale and justification and, in part, upon unfounded lore. Some examples of these "methodological urban legends", as we refer to them in this book, are…
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Data Analysis

A Model Comparison Approach, Second Edition

• By Charles M. Judd, Gary H. McClelland and Carey S. Ryan.

Published August 2008

This completely rewritten classic text features many new examples, insights and topics including mediational, categorical, and multilevel models. Substantially reorganized, this edition provides a briefer, more streamlined examination of data analysis. Noted for its model-comparison approach and…
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