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Aesthetic criteria for musical interpretation - a study of the contemporary performance of Western notated instrumental music after 1750, ISBN 951-34-0336-X, Jyväskylä : Univ. of Jyväskylä, 1994, 665 pages Series: Jyväskylä studies in the arts, ISSN 0075-4633; 45, Dissertation, PhD Thesis, Jyväskylä University, Finland.
The "thesis statement" comes from the concept of a thesis (θέσῐς, thésis) as it was articulated by Aristotle in Topica. Aristotle's definition of a thesis is "a conception which is contrary to accepted opinion." He also notes that this contrary view must come from an informed position; not every contrary view is a thesis. [3]
In A Guide to Research in Music Education, Phelps, Ferrara and Goolsby define research as the identification and isolation of a problem into a workable plan; the implementation of that plan to collect the data needed; and the synthesis, interpretation and presentation of the collected information into some format which readily can be made available to others.
The researcher(s) collects data to test the hypothesis. The researcher(s) then analyzes and interprets the data via a variety of statistical methods, engaging in what is known as empirical research. The results of the data analysis in rejecting or failing to reject the null hypothesis are then reported and evaluated.
Each volume focused on a certain genre of orchestral or choral music (for example, Volumes I and II were devoted to Symphonies; Volume III to Concertos), with many of the works discussed with the help of music examples. In 1944, a posthumous seventh volume appeared on chamber music. In 1989, a new version was published with some essays omitted ...
Content analysis is an important building block in the conceptual analysis of qualitative data. It is frequently used in sociology. For example, content analysis has been applied to research on such diverse aspects of human life as changes in perceptions of race over time, [35] the lifestyles of contractors, [36] and even reviews of automobiles ...
Tukey defined data analysis in 1961 as: "Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data."
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]