AC 2011-794: AN ANALYSIS OF FEMALE STEM FACULTY AT PUBLIC TWO-YEAR INSTITUTIONS

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作者
Koonce, David A. [1 ]
Conley, Valerie Martin [2 ,3 ]
Hening, Dyah A. [1 ]
Anderson, Cynthia D. [4 ,5 ]
机构
[1] Ohio Univ, Athens, OH 45701 USA
[2] Ohio Univ, Ctr Higher Educ, Athens, OH 45701 USA
[3] Ohio Univ, Higher Educ & Student Affairs Program, Athens, OH 45701 USA
[4] Ohio Univ, Sociol, Athens, OH 45701 USA
[5] Ohio Univ, Grad Studies, Athens, OH 45701 USA
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G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Compared to four-year institutions, limited research exists on the careers of female faculty teaching STEM at public two-year institutions. Unfortunately, the mission and structure of two-year schools differs greatly from their well-studied counterparts. Thus the explanatory power of STEM career success and advancement outcomes of female faculty in the four-year sector cannot explain how female faculties succeed at public, two-year schools. For example, female STEM faculty hold near parity in the percents achieving the ranks of professor or associate professor at public two-year schools, while they are half as likely to rise to those levels at four-year schools.(1) This paper presents a quantitative analysis on career success and employment outcomes in STEM fields using data from National Study of Postsecondary Faculty (NSOPF), with focus on the most recent survey in 2003-4. The analysis will be based on the hypothesis of the effect of gender on salary, rank, part-time status, highest degree and field of teaching for faculty in two-year institution compare to four-year institution. Prediction models were built on statistical analysis tools provided by the National Center of Education Statistics (NCES); DAS(2) and Powerstats(3). The factors associated with advancement and employment outcomes were investigated and preliminary outcomes was confirmed by the qualitative analysis. Due to differences of STEM definition, this paper will also present a clear definition of STEM, using CIP and NSOPF codes. Major definitions of STEM will be mapped into the major classification codes including CIP, BLS Occupational Codes and NSF. Further research on this study is based on the comparison of the result of this paper and the actual data collected.
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