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From Data to Decisions in Music Education Research

Brian C. Wesolowski
€68.99
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Anderson Darling Test
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Basic Density Function
Bivariate Model
Box Plot
Categorical Variables
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Character Vector
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Csv File
Cumulative Distribution Function
Data Frame
data wrangling
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Dummy Variable
ECDF
educational statistics
empirical research methods
eq_art-fashion-photography
eq_bestseller
eq_isMigrated=2
eq_music
eq_nobargain
eq_non-fiction
Factor Vector
Female Level
General Linear Model
Kernel Density Plot
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MSE Residual
Multiple Linear Regression
music education data analytics
Numeric Vectors
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Percentile Ranks
Prediction Intervals
Predictor Variables
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quantitative analysis
R coding tutorials
Reference Data Frame
Regression Model
Script File
softlaunch
statistical programming
Strongly Disagree

Product details

  • ISBN 9781032060491
  • Weight: 980g
  • Dimensions: 178 x 254mm
  • Publication Date: 23 Feb 2022
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
  • Language: English
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Description

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.
About Brian C. Wesolowski

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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