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Al-Haddad, Serina; Boone, Rachael; Campbell, Emma – International Journal for Business Education, 2018
Graduation rates and degree completion have always been a concern for students, students' families and universities. Moreover, many consider college degree completion rates to be among one of the most important indicators of institutional quality according to a report from the Higher Education Research Institute published in the United States of…
Descriptors: Prediction, Graduation Rate, Educational Quality, Higher Education
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Phillips, Krishtine; Downer, Jason – Early Education and Development, 2017
Research Findings: This study investigated the relationship between features of the classroom environment and misalignment between teacher and observer ratings of preschoolers' classroom engagement and the extent to which years of teaching experience moderated this relationship. In a sample of 116 preschoolers and 21 teachers in 29 classrooms,…
Descriptors: Classroom Environment, Teaching Experience, Preschool Teachers, Preschool Children
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Cantwell, Brendan; Mathies, Charles F. – Higher Education Quarterly, 2012
Growing emphasis has been placed on universities to contribute to the innovation process and as a result academic research and development expenditures have increased in recent years. Nevertheless, little is known about the specific ways in which universities have expanded their research capacity. This paper examines how universities in the United…
Descriptors: Human Capital, Research and Development, Universities, Multiple Regression Analysis
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Griffore, Robert J.; Phenice, Lillian A.; Hsieh, Meng-Chuan – Journal of Research in Education, 2014
It is generally expected that funds invested in public instruction will strengthen pupil achievement. Similarly, it is expected that enrollments of young children in preschool education should lead to higher achievement. In a trend analysis, we examined three variables as predictors of grade 8 achievement in 2007: (1) state expenditures per…
Descriptors: Trend Analysis, Educational Finance, Academic Achievement, Public Education
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Hong, Hee Kyung – Education Policy Analysis Archives, 2012
The purpose of this study was to simultaneously examine relationships between teacher quality and instructional time and mathematics and science achievement of 8th grade cohorts in 18 advanced and developing economies. In addition, the study examined changes in mathematics and science performance across the two groups of economies over time using…
Descriptors: Academic Achievement, Teacher Effectiveness, Science Achievement, Program Effectiveness
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DePaolo, Concetta A.; Robinson, David F. – Journal of Statistics Education, 2011
In this paper we present time series data collected from a cafe run by business students at a Midwestern public university. The data were collected over a ten-week period during the spring semester of 2010. These data can be used in introductory courses to illustrate basic concepts of time series and forecasting, including trend, seasonality, and…
Descriptors: Introductory Courses, Statistical Data, Statistical Analysis, Statistics
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Cohen, Jacob – Educational and Psychological Measurement, 1980
When sample sizes and/or X intervals are unequal, the analysis of variance computations for trend analysis become quite complicated. This article shows how multiple regression/correlation analysis may be applied in order to accomplish with great simplicity trend analysis under "irregular" conditions. (Author/RL)
Descriptors: Correlation, Least Squares Statistics, Mathematical Models, Multiple Regression Analysis
Mandeville, Garrett K. – 1987
School effectiveness indices (SEIs) based on residuals from regressing test performance in reading and mathematics onto prior-year test performance and a socioeconomic status measure (percentage eligible for a subsidized lunch program) were obtained for two consecutive years for 431 South Carolina elementary schools. The analysis involved school…
Descriptors: Achievement Tests, Basic Skills, Correlation, Elementary Education
Jensen, Arthur R. – 1979
The uses of data on siblings for educational and psychological research purposes are explained. Examples are based on empirical data. Five types of research problems, using sibling data, are explored: (1) statistical control of family background variance in psychological or educational studies which use analysis of covariance (ANCOVA) or multiple…
Descriptors: Age Differences, Analysis of Covariance, Cognitive Measurement, Correlation