From Data to Decisions in Music Education Research: Data Analytics and the General Linear Model Using R

Author:   Brian C. Wesolowski (University of Georgia, USA)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032060521


Pages:   494
Publication Date:   23 February 2022
Format:   Hardback
Availability:   In Print   Availability explained
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From Data to Decisions in Music Education Research: Data Analytics and the General Linear Model Using R


Overview

From Data to Decisions in Music Education Research provides a structured and hands-on approach to working with empirical data in the context of music education research. Using step-by-step tutorials with in-depth examples of music education data, this book draws upon concepts in data science and statistics to provide a comprehensive framework for working with a variety of data and solving data-driven problems. All of the skills presented here use the R programming language, a free, open-source statistical computing and graphics environment. Using R enables readers to refine their computational thinking abilities and data literacy skills while facilitating reproducibility, replication, and transparency of data analysis in the field. The book offers: A clear and comprehensive framework for thinking about data analysis processes in a music education context. An overview of common data structures and data types used in statistical programming and data analytics. Techniques for cleaning, preprocessing, manipulating, aggregating, and mining data in ways that facilitate organization and interpretation. Methods for summarizing and visualizing data to help identify structures, patterns, and trends within data sets. Detailed applications of descriptive, diagnostic, and predictive analytics processes. Step-by-step code for all concepts and analyses. Direct access to all data sets and R script files through the accompanying eResource. From Data to Decisions in Music Education Research offers a reference ""cookbook"" of code and programming recipes written with the graduate music education student in mind and breaks down data analysis processes and skills in an approachable fashion. It can be used across a wide range of graduate music education courses that rely on the application of empirical data analyses and will be useful to all music education scholars and professionals seeking to enhance their use of quantitative data.

Full Product Details

Author:   Brian C. Wesolowski (University of Georgia, USA)
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
Weight:   1.360kg
ISBN:  

9781032060521


ISBN 10:   1032060522
Pages:   494
Publication Date:   23 February 2022
Audience:   College/higher education ,  Postgraduate, Research & Scholarly ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Author Information

Brian C. Wesolowski is an Associate Professor of Music Education at the University of Georgia. He received his PhD from the University of Miami, Coral Gables, FL.

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