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