Using Statistics in Small-Scale Language Education Research: Focus on Non-Parametric Data: ESL & Applied Linguistics Professional Series
Autor Jean L. Turneren Limba Engleză Paperback – 20 feb 2014
A Companion Website extends and enhances the text with PowerPoint presentations illustrating how to carry out calculations and use R; practice exercises with answer keys; data sets in Excel MS-DOS format; and quiz, midterm, and final problems with answer keys.
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Taylor & Francis – 20 feb 2014 | 402.10 lei 22-36 zile | +23.54 lei 5-11 zile |
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Specificații
ISBN-13: 9780415819947
ISBN-10: 0415819946
Pagini: 360
Ilustrații: 35 Tables, black and white
Dimensiuni: 152 x 229 x 30 mm
Greutate: 0.48 kg
Ediția:1
Editura: Taylor & Francis
Colecția Routledge
Seria ESL & Applied Linguistics Professional Series
Locul publicării:Oxford, United Kingdom
ISBN-10: 0415819946
Pagini: 360
Ilustrații: 35 Tables, black and white
Dimensiuni: 152 x 229 x 30 mm
Greutate: 0.48 kg
Ediția:1
Editura: Taylor & Francis
Colecția Routledge
Seria ESL & Applied Linguistics Professional Series
Locul publicării:Oxford, United Kingdom
Cuprins
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
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
Notă biografică
Jean L. Turner is Professor, TESOL/TFL Program, Monterey Institute of International Studies, USA.
Recenzii
"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 Jyväskylä, 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
Ari Huhta, University of Jyväskylä, 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
Descriere
This text for language education research methods and statistics courses provides detailed guidance and instruction on principles of designing, conducting, interpreting, reading, and evaluating statistical research done in classroom settings or with a small number of participants.