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ERIC Number: ED513737
Record Type: Non-Journal
Publication Date: 2010-Dec
Pages: 24
Abstractor: As Provided
Reference Count: 15
A Quantitative Content Analysis of Mercer University MEd, EdS, and Doctoral Theses
Randolph, Justus J.; Gaiek, Lura S.; White, Torian A.; Slappey, Lisa A.; Chastain, Andrea; Harris, Rose Prejean
Online Submission
Quantitative content analysis of a body of research not only helps budding researchers understand the culture, language, and expectations of scholarship, it helps identify deficiencies and inform policy and practice. Because of these benefits, an analysis of a census of 980 Mercer University MEd, EdS, and doctoral theses was conducted. Each thesis was coded on 10 variables. The descriptive characteristics of the theses, the predictors of the length of thesis, and the predictors of the type of research method of the thesis were investigated. The main results were that (a) the vast majority of thesis authors were female, (b) the number of qualitative theses was on the rise, (c) there were slight variations in research method and length based on location of publication, (d) the page length of MEd theses had been slightly decreasing over time, (e) mathematics instruction was the most frequent subject descriptor of theses, and (f) the proportion of male authors increased over time. Coding book is appended. (Contains 3 footnotes, 11 tables, and 2 figures.)
Publication Type: Reports - Research
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A