Design and Analysis for Quantitative Research in Music Education
Language: English
Published by Oxford University Press, Incorporated, 2018
- Hardcover
- Used

Seller: Fox & Tome Books, Frederick, MD, U.S.A.Fox & Tome Books
AbeBooks seller since March 2, 2023
Condition: Used - Fine
US$ 71.38
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Add to basketItem description from seller
In excellent condition, No writing or highlighting, book is crisp and clean. inquire for photos or more details. 100% satisfaction guarantee. --- By Peter Miksza and Kenneth Elpus. This is a methods text in 16 chapters on quantitative research design and analysis, written specifically for research in music education rather than adapted from general social-science or educational statistics texts. It is intended both as a course text and as a reference for later research work, and it is accompanied by a separate companion website with supplementary materials.
Seller Inventory # OA-250904-shelf-25-023
- Title
- Design and Analysis for Quantitative Research in Music Education
- Author
- Peter Miksza; Kenneth Elpus
- Publisher
- Oxford University Press, Incorporated
- Publication year
- 2018
- Condition
- Fine
- Dust jacket
- Fine
- Binding
- Hardback
- Language
- English
- ISBN 10
- 0199391904
- ISBN 13
- 9780199391905
- Item weight
- 2.5 pounds
- Dimensions
- 14.0 x 14.0 x 4.0 inches
- Seller catalogs
- Music, Music & Performing Arts
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.
"Synopsis" may belong to another edition of this title.
About the Author
Peter Miksza is Associate Professor of Music (Music Education) at the Indiana University Jacobs School of Music and an affiliate member of the Indiana University Cognitive Science Program. He teaches courses in instrumental music education, the pyschology of music, learning processes in music, measurement and assessment in music, and research methods. He earned his PhD and Master of Music degrees from the Indiana University Jacobs School of Music and his Bachelor of Music degree and K-12 teaching credential from The College of New Jersey. Dr. Miksza's scholarship is focused on self-regulated music learning, musical skill acquisition, music teacher preparation, and music education policy.
Kenneth Elpus is Associate Professor of Music Education at the University of Maryland, where he teachers courses in choral music education, research methods, and conducts the university Treble Choir. Dr. Elpus earned his PhD and Master of Music degrees from Northwestern University where he held a fellowship in the Center for the Study of Education and the Musical Experience. He earned his Bachelor of Music degree and K-12 teaching credential from The College of New Jersey. Dr. Elpus's scholarship is focused on issues related to music education and public policy, the demographics of music students, the process of selection into music education, and music education as a context for adolescent development.
"About the title" may belong to another edition of this title.
Fox & Tome Books
Frederick, MD, U.S.A.
AbeBooks seller since March 2, 2023
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