Graduate Capstones and Terminal Projects

Fredenburg, Sean 2013-09-12T20:22:56Z 2013-09-12T20:22:56Z 2013-09-03 http://hdl.handle.net/1794/13186 70 page DMA lecture-document The medium of saxophone quartet provides performers and theorists with a repertoire rife with analytic material. Two works of the late 20th century merit serious consideration as vehicles for analysis: XAƧ by Iannis Xenakis (1987) and Franco Donatoni’s Rasch for saxophone quartet (1990). These two pieces share complex compositional logics that inform the aesthetic choices made by each composer. Viewing Rasch and XAƧ through the lens of the composer and performer presents a multi-angled analysis that demonstrates a more complete representation of the music. It is my hope that by building upon existing research of the saxophone quartet and the music of these composers, the richness of academic material available will enhance the fields of both performance and music theory. This document will detail the selection of repertoire and its composers, available scholarly literature, and the contribution of the Raschèr Saxophone Quartet to saxophone chamber music. A theoretical analysis of XAƧ follows, detailing composer Iannis Xenakis’ creation and manipulation of “sieves” as harmonic and melodic material in his music. After that, the piece is presented from the point of view of the performer, with a concentration on overtones, altissimo, and texture. Next is a post-tonal analysis of Rasch, highlighting the method of composition that Franco Donatoni chooses, combining dodecaphonic language with Allen Forte’s set theory. Finally, an analysis of the performance considerations of Rasch emphasizes aspects of the piece related to dynamics, rhythm, and articulation as definitions of its formal divisions. en_US University of Oregon Creative Commons BY saxophone quartet Iannis Xenakis Franco Donatoni XAS Rasch theoretical analysis performance analysis A Theoretical and Performance Analysis of Two Works for Saxophone Quartet: XAS by Iannis Xenakis and Rasch by Franco Donatoni Terminal Project

Marsh, Laura 2013-08-01T20:25:48Z 2013-08-01T20:25:48Z 2013-06 http://hdl.handle.net/1794/13046 58 pages Sonic branding is a type of marketing that uses sound or music to identify a brand. Companies can create an original aural logo or sound identity, or they can use preexisting music to define their product or organization. Many businesses outsource marketing firms to develop a sound identity, but due to financial and other resource constraints, nonprofit organizations may not have this as a viable option and instead choose to craft their own aural brand, repurpose preexisting music, or not use any form of sonic branding. This study seeks to discover how nonprofit organizations might incorporate sonic branding and provides suggestions on how to create a strong aural brand using affordable practices and tools. en_US University of Oregon All Rights Reserved. Sonic Branding Marketing Sound Identity Nonprofit Organizations Sonic Branding for Nonprofit Organizations Terminal Project

Beach, Paul 2013-07-26T21:43:06Z 2013-07-26T21:43:06Z 2013-06 http://hdl.handle.net/1794/13038 Examining committee: Laura Leete, chair Standardized test scores are the primary mechanism that state and federal education policy makers use to hold schools accountable. Student achievement data is used to hold schools accountable for certain thresholds of test scores for all students, and in some cases, subgroups of students. The typical methods, specifically ordinary least squares, employed by policymakers and researchers that study student achievement are generally concerned with averages. The use of average effect models generally results in one-size-fits-all policy interventions meant to raise average tests scores across a large population of students. This approach often does not take into consideration the differential effects of explanatory variables across te entire distribution of standardized test scores. Quantile regression supplements ordinary least squares by generating information across the entire distribution of student achievement, from the lowest to highest performers. As this study shows, federal and subsequent state education policies are concerned with the lowest performers, and not just the average student or school. This study used data from K-12 public schools in Oregon that test students in grades 3-8 and 11 in mathematics and reading. The results show that quantile regression is a useful tool for analyzing school standardized tests scores in an acccounability framework by providing information that ordinary least squares generally misses. en_US Department of Planning, Public Policy & Management, University of Oregon All Rights Reserved. Standardized Test Scores and Accountability Policy: A Quantile Regression Approach Terminal Project