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Full Product Details

Author:   Jean L. Turner (Monterey Institute of International Studies, USA) ,  Jean L. Turner
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
Dimensions:   Width: 15.20cm , Height: 3.30cm , Length: 22.90cm
Weight:   0.476kg
ISBN:  

9780415819947

ISBN 10:   0415819946
Pages:   348
Publication Date:   20 February 2014
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Preface Acknowledgements Section I: Foundations Chapter One: What is research? Chapter Two: Defining and describing variables Chapter Three: Designing sound research--variable roles, threats to validity, and research design Chapter Four: How are research questions formed and what are the parts of well-written research reports? Chapter Five: What is logical about statistical logic and what purposes does it serve? Section II: Analyzing Differences Between Two Sets of Data Chapter Six: The parametric t-test statistics Chapter Seven: The non-parametric Mann-Whitney U Test and Wilcoxon Signed Rank Test statistics Section III: Analyzing Differences Among more than Two Sets of Data Chapter Eight: Introduction to the parametric between-group analysis of variance statistic (ANOVA) Chapter Nine: The non-parametric Kruskal-Wallis and Friedman's Test statistics Section IV: Analyzing Patterns within a Variable and Between Two Variables Chapter Ten: The parametric Pearson’s Product Moment Correlation Coefficient statistic Chapter Eleven: The non-parametric Spearman’s Rho and Kendall's Tau statistics Chapter Twelve: The non-parametric Chi-Squared statistics References

Reviews

The clear and systematic writing style and many concrete examples from language education research make this book an excellent entry point to quantitative research for even those who might be afraid of statistics. Its coverage of non-parametric statistics is particularly useful. Ari Huhta, University of Jyvaskyla, Finland This book helps readers to understand basic statistical logics and principles, and to analyze and interpret their data using, the freeware statistical program R, available online. It is suitable for language teachers who may not be satisfied with statistical resources that have many intimidating numbers and formulas but without relevant language learning and teaching contexts Sun-Young Shin, Indiana University, Bloomington, USA

The clear and systematic writing style and many concrete examples from language education research make this book an excellent entry point to quantitative research for even those who might be afraid of statistics. Its coverage of non-parametric statistics is particularly useful. Ari Huhta, University of Jyvaskyla, Finland This book helps readers to understand basic statistical logics and principles, and to analyze and interpret their data using, the freeware statistical program R, available online. It is suitable for language teachers who may not be satisfied with statistical resources that have many intimidating numbers and formulas but without relevant language learning and teaching contexts Sun-Young Shin, Indiana University, Bloomington, USA The strength of Turner's book is that it never loses sight of the target audience: language teachers or novice researchers who want to conduct research in their individual contexts with nonrandom and small or unequal samples sizes, which are likely to require the application of nonparametric statistical procedures. In addition, those without access to expensive software like SPSS or with limited knowledge of how to get started using the free software R will find this book an invaluable addition to their personal library. Aaron C. Sponseller, JALT Journal

Author Information

Jean L. Turner is Professor, TESOL/TFL Program, Monterey Institute of International Studies, USA.

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