Research Methodologies In Music Education

This volume provides an understanding of various research methodologies that have been used in music education projects. These methodologies include: historical research; quantitative research; narrative inquiry; action research; ethnography; case study; interpretative phenomenological analysis; arts-based methods; and mixed methods. Each of these research methodologies is detailed, before examples of music education projects that have used these methodologies are described. A separate chapter is devoted to each methodology, and each chapter has been written by a researcher with extensive experience and knowledge of the methodology in question. The book project is an initiative of the Australian and New Zealand Association for Research in Music Education (ANZARME).This association is the peak body for music research across the two countries. ANZARME promotes and supports all styles of research in all avenues of music education. The book will assist all those who are undertaking research in music education, particularly future researchers in music education, such as postgraduate research students. The text will assist researchers in understanding the many available research methods, and will provide clarity in choosing the most appropriate method for their particular research.

An updated and practical approach to research concepts, techniques, and sources from the 4th edition.

Performing Music Research is a comprehensive guide to planning, conducting, analyzing, and communicating research in music performance. The book examines the approaches and strategies that underpin research in music education, psychology, and performance science.

Inquiry in Music Education: Concepts and Methods for the Beginning Researcher, Second Edition, introduces research and scholarship in music education as an ongoing spiral of inquiry. Exploring research conventions that are applicable beyond music to the other arts and humanities as well, it offers a sequential approach to topic formulation, information literacy, reading and evaluating research studies, and planning and conducting original studies within accepted guidelines. Following the legacy begun by Edward Rainbow and Hildegard C. Froehlich, this book expands what is meant by music education and research, teaching tangible skills for music educators with diverse instructional goals and career aspirations. The second edition addresses the changes in methods due to technological advances, a proliferation of new scholarship, and an awareness of the impact of place and culture on researchers and research participants. This edition features: the most current information on research tools, strategies to remain up-to-date, and expanded supplemental online materials (see inquiryinmusiceducation.com) case studies that reflect recent research and discuss issues of gender, race, and culture previously absent from mainstream scholarship an acknowledgment of the assessment demands of contemporary K-12 schooling a chapter devoted to mixed methods, arts-based, and practitioner inquiry assignments and other resources designed to be friendly for online course delivery chapters from contributing authors Debbie Rohwer and Marie McCarthy, bringing additional depth and perspective. Inquiry in Music Education provides students with the language, skills, and protocols necessary to succeed in today’s competitive markets of grant writing, arts advocacy, and public outreach as contributing members of the community of music educators.

In recent years, academics and professionals in the social sciences have forged significant advances in quantitative research methodologies specific to their respective disciplines. Although new and sophisticated techniques for large-scale data analyses have become commonplace in general educational, psychological, sociological, and econometric fields, many researchers in music education have yet to be exposed to such techniques. Design and Analysis of Quantitative Research in Music Education is a comprehensive reference for those involved with research in music education and related fields, providing a foundational understanding of quantitative inquiry methods. Authors Peter Miksza and Kenneth Elpus update and expand the set of resources that music researchers have at their disposal for conceptualizing and analyzing data pertaining to music-related phenomena. This text is designed to familiarize readers with foundational issues of quantitative inquiry as a point of view, introduce and elaborate upon issues of fundamental quantitative research design and analysis, and expose researchers to new, innovative, and exciting methods for dealing with complex research questions and analyzing large samples of data in a rigorous and thorough manner. With this resource, researchers will be better equipped for dealing with the challenges of the increasingly information-rich and data-driven environment surrounding music education. An accompanying companion website provides valuable supplementary exercises and videos.

An updated and practical approach to research concepts, techniques, and sources from the 4th edition.

Covers identifying the research problem and writing the proposal; the concepts and techniques of research methodologies; and a prediction of future trends in music research.

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.