Design and Analysis of Quantitative Research in Music Education provides a foundational understanding of quantitative inquiry methods suitable for music education research, updating and expanding the tools that music researchers have at their disposal for conceptualizing and analyzing data pertaining to music-related phenomena.
Design and Analysis of Quantitative Research in Music Education provides a foundational understanding of quantitative inquiry methods suitable for music education research, updating and expanding the tools that music researchers have at their disposal for conceptualizing and analyzing data pertaining to music-related phenomena.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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 Assistant 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.
Inhaltsangabe
* Table of Contents * List of Illustrations * Acknowledgements * About the Companion Website * 1. Prelude * 2. Characteristics of Scientific Inquiry * Part I. Foundational Concepts for Quantitative Inquiry in Music Education * 3. Descriptive Research Design * 4. Descriptive Analysis * 5. Inferential Analysis * 6. Correlational Design and Analysis * 7. Causation and Causal Claims * 8. Design and Analysis of Experimental Research I * 9. Design and Analysis of Experimental Research II * 10. Regression * Part II. Advanced Concepts for Quantitative Inquiry in Music Education * 11. Analyses of Complex Survey Data * 12. Multilevel Models * 13. Exploratory and Confirmatory Factor Analysis * 14. Structural Equation Modeling * 15. Advances in Quasi-Experimental Methods * 16. Postlude * Appendix: Inferential Analysis with Non-parametric Tests * Index
* Table of Contents * List of Illustrations * Acknowledgements * About the Companion Website * 1. Prelude * 2. Characteristics of Scientific Inquiry * Part I. Foundational Concepts for Quantitative Inquiry in Music Education * 3. Descriptive Research Design * 4. Descriptive Analysis * 5. Inferential Analysis * 6. Correlational Design and Analysis * 7. Causation and Causal Claims * 8. Design and Analysis of Experimental Research I * 9. Design and Analysis of Experimental Research II * 10. Regression * Part II. Advanced Concepts for Quantitative Inquiry in Music Education * 11. Analyses of Complex Survey Data * 12. Multilevel Models * 13. Exploratory and Confirmatory Factor Analysis * 14. Structural Equation Modeling * 15. Advances in Quasi-Experimental Methods * 16. Postlude * Appendix: Inferential Analysis with Non-parametric Tests * Index
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