Jean L. Turner

Using Statistics in Small-Scale Language Education Research (eBook, PDF)

Focus on Non-Parametric Data

• Format: PDF

Produktbeschreibung

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 360
• Erscheinungstermin: 18. Februar 2014
• Englisch
• ISBN-13: 9781134055517
• Artikelnr.: 40515126

Autorenporträt

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