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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Beginning Band Students' Familiarity with Method Book Repertoire as Predictor of Music Achievement

Turowski, Pamela L. January 2017 (has links)
The purpose of this research was to examine the potential relationship between students’ degree of familiarity with repertoire common to beginning band method books and aural-based music achievement after one year of study. Three research questions guided this study: (1) Which songs from the Familiar Repertoire Survey (FRS) are reported as being the most and least familiar to the sample? (2) For a familiar song, “Lightly Row,” can FRS scores predict (a) Familiar Music Achievement Singing Test (FMAST) scores, (b) Familiar Music Achievement Playing Test (FMAPT) scores, (c) Familiar Music Achievement Improvisation Singing Test (FMAIST) scores, and (d) Familiar Music Achievement Improvisation Playing Test (FMAIPT) scores? (3) For an unfamiliar song, “Finish Line,” can FRS scores predict (a) Unfamiliar Music Achievement Singing Test (UMAST) scores, (b) Unfamiliar Music Achievement Playing Test (UMAPT) scores, (c) Unfamiliar Music Achievement Improvisation Singing Test (UMAIST) scores, and (d) Unfamiliar Music Achievement Improvisation Playing Test (UMAIPT) scores? Participants (N = 17) were fifth and sixth grade students enrolled in their second year of beginning band in a New Jersey elementary school. I created two measurement instruments: FRS, designed to gauge the breadth and depth of students’ familiarity with songs common to beginning band method books, and the Music Achievement Test (MAT) designed to measure aural-based music achievement in singing, playing by ear, and improvising on a familiar and unfamiliar song. In the first session, participants completed FRS by listening to songs common to beginning band books and completing a Likert-type survey on their familiarity with each song. Later, participants watched MAT through an interactive video which prompted them to complete eight musical subtests. I recorded all performances. Judges rated each performance with two rating scales. I analyzed the frequency of responses for each song and found “Hot Cross Buns,” “Jingle Bells,” “Pierrot,” “Lightly Row,” and “London Bridge” to be the most familiar songs. Through linear regressions, I analyzed the ability of FRS to predict MAT scores. I found a significant regression equation between FRS and its ability to predict FMAST scores and UMAIST scores. The current exploratory study contained many limitations which restricts its generalizability to other beginning band populations; however, six conclusions can be made. Familiarity with common beginning band repertoire as represented by a selection of 24 songs common to beginning band method books does not predict students’ achievement (a) singing an unfamiliar song, (b) demonstrating through singing improvisation based on a familiar song, (c) playing by ear a familiar or unfamiliar song, and (d) improvising on an instrument, whether improvising within the context of a familiar or unfamiliar song. Familiarity with common beginning band repertoire does predict students’ achievement (a) singing a familiar song and (b) demonstrating through singing improvisation based on an unfamiliar song. / Music Education / Accompanied by one .mp3 file and one .xlsx file (Microsoft Excel 2007).

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