Statistics in Music Education Research
- Publisher's listprice GBP 122.50
-
58 524 Ft (55 737 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 10% (cc. 5 852 Ft off)
- Discounted price 52 671 Ft (50 163 Ft + 5% VAT)
Subcribe now and take benefit of a favourable price.
Subscribe
58 524 Ft
Availability
printed on demand
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Publisher OUP USA
- Date of Publication 24 May 2018
- ISBN 9780190695217
- Binding Hardback
- No. of pages354 pages
- Size 163x236x22 mm
- Weight 630 g
- Language English
- Illustrations 157 illustrations 0
Categories
Short description:
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.
MoreLong description:
In Statistics in Music Education Research, author Joshua Russell 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. He explores four main aspects of music education research: understanding logical concepts of statistical procedures and their outcomes; critiquing the use of different procedures in extant and developing research; applying the correct statistical model for not only any given dataset, but also the correct logic determining which model to employ; and reporting the results of a given statistical procedure clearly and in a way that provides adequate information for the reader to determine if the data analysis is accurate and interpretable.
While it is written predominately for graduate students in music education courses, Statistics in Music Education Research will also help music education researchers and teachers of music educators gain a better understanding of how parametric statistics are employed and interpreted in music education.
Ive been teaching research methods at the collegiate level for over 20 years and utilized statistics in my own scholarship even longer. Ive continually studied the topic to further my own understanding and to discover ways in which I could assist my students in comprehending the subject. If only this book would have been written sooner! Joshua Russell has removed the cloak of mystery surrounding statistics through this straightforward, accessible text. While there are many statistics books on the market, Statistics in Music Education Research is written specifically for music education researchers, teachers, and students. Russells clear prose, examples from published music education research studies, and detailed step-by-step instructions will benefit both novices and those who are experienced. I highly recommend it for use in the college classroom and as a reference on every music educators bookshelf.
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
Index
