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Statistics in Music Education Research

Joshua A. Russell

March 2018

ISBN: 9780190695224

352 pages

In Stock

Price: £34.99



In Statistics in Music Education Research, author Joshua Russell offers a new course book that explains the process of using a range of statistical analyses from inception to research design to data entry to final analysis using understandable descriptions and examples from extant music education research.

  • All examples from within the field of music education
  • Offers step-by-step instructions for application and understanding
  • Comprehensive companion website with data sets

About the Author(s)

Joshua A. Russell, Associate Professor in Music Education and Director of the Hartt String Project, The Hartt School

Joshua A. Russell is Associate Professor of Music Education at the Hartt School of the University of Hartford where he currently is Director of the Music Education Division and Chair of Graduate Studies in Music Education. He teaches undergraduate and graduate courses in music education and string pedagogy and is the director of the Hartt String Project. Dr. Russell's research interests include musician health, assessment of music learning, string education, and psycho-social/cognitive development in musical learning and teaching. He often presents research throughout the United States and beyond including Ireland, England, Germany, China, Australia, Finland, Greece, Norway, and Cyprus.

Table of Contents

    Preface ix
    About the Companion Website
    Section 1: Introduction
    Chapter 1: Fundamental Principles
    Chapter 2: Descriptive Statistics
    Section 2: Parametric Statistical Procedures
    Chapter 3: Pearson Product Moment Correlation
    Chapter 4: One Sample T-Test
    Chapter 5: Dependent Samples T-Test
    Chapter 6: Independent Samples t-test
    Chapter 7: Univariate Analysis of Variance (ANOVA)
    Chapter 8: Factorial ANOVA
    Chapter 9: Multivariate Analysis of Variance (MANOVA)
    Chapter 10: Repeated Measures Analysis of Variance
    Chapter 11: Univariate Analysis of Covariance (ANCOVA)
    Chapter 12: Multivariate Analysis of Covariance (MANCOVA)
    Chapter 13: Regression Analysis
    Chapter 14: Data Reduction: Factor and Principle Component Analysis
    Chapter 15: Discriminant Analysis
    Section 3: Reliability Analysis
    Chapter 16: Cronbach's Alpha
    Chapter 17: Split-half Reliability
    Section 4: Nonparametric Tests
    Chapter 18: Chi-Square
    Chapter 19: Mann-Whitney U Test
    Chapter 20: Kruskal Wallis H Test
    Chapter 21: Spearman Correlation
    Chapter 22: Wilcoxon Test
    Chapter 23: Friedman's Test
    Appendix 406