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Futch, Karon Wilkerson – ProQuest LLC, 2014
This regression study examined the set of graduate characteristics (age, gender, ethnicity), as well as Grade Point Average Motivation, and environmental factors (program of study, use of career services, internship completion, Grade Point Average) that predicted time to in-field employment among associate degree graduates. Graduates ranging from…
Descriptors: Associate Degrees, Technical Institutes, Time to Degree, College Graduates
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Brockmeier, Lantry L.; Starr, Gene; Green, Ronny; Pate, James L.; Leech, Donald W. – International Journal of Educational Leadership Preparation, 2013
The purpose of this study was to determine if principal tenure, principal stability, and principal educational experience in public education along with school-level variables predicted elementary school student achievement. A second purpose was to examine whether there was a significant difference between (a) levels of principal tenure and levels…
Descriptors: Academic Achievement, Elementary School Students, Tenure, Principals
Glenn, James E. – ProQuest LLC, 2012
This study investigated AP U.S. History teacher characteristics, school and classroom context, instructional and assessment practices, and the relationship of all these variables with student achievement on the AP U.S. History Exam. The study sample consisted AP U.S. History teachers in the state of Georgia (N = 93) representing 14 of the state's…
Descriptors: Teacher Characteristics, Teaching Methods, Advanced Placement, Online Surveys
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Carr, Martha; Steiner, Hillary Hettinger; Kyser, Brandon; Biddlecomb, Barry – Learning and Individual Differences, 2008
Five variables (strategy use, fluency, accuracy, spatial ability and confidence) that have been linked to gender differences in mathematics were compared as predictors of mathematics competency. Two hundred and forty-one second grade students from seven schools in Northeast Georgia participated in the study. In fall of the second grade, children…
Descriptors: Spatial Ability, Grade 2, Multiple Regression Analysis, Gender Differences