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Battle, April – ProQuest LLC, 2009
American educational leaders seek to educate children (regardless of race, class, or economic status) to become productive citizens. In order for our country to compete with other countries where students are well educated and highly motivated, we need to ensure that our educational system is equipped with the technology and tools that would allow…
Descriptors: Majors (Students), Research Design, Charter Schools, Catholic Schools
Matthews, Aretha L. – ProQuest LLC, 2009
The purpose of this study was to analyze the spring 2008 Community College Survey of Student Engagement (CCSSE) results from a community college located in Southeast Texas to determine what relationship student engagement had to student persistence and academic performance and if that relationship differed by race, ethnicity, or academic program.…
Descriptors: Learner Engagement, Two Year College Students, Ethnicity, Grade Point Average
Peer reviewed Peer reviewed
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Ham, Ok Kyung; Lee, Young Ja – Journal of School Health, 2007
Background: Smoking is popular among Korean male high school adolescents, with the prevalence of 20.7% differing markedly with the type of school, being 16.3% and 27.6% in academic and vocational technical high schools, respectively. The purpose of this study was to identify significant variables that predict stages of smoking cessation among…
Descriptors: Vocational High Schools, Smoking, Metropolitan Areas, Predictor Variables
Chang, Shu-Hui Hsieh; Smith, Roger A. – Journal of Research on Technology in Education, 2008
This study examined relationships between students' perceptions of course-related interaction and their course satisfaction within the learner-centered paradigm in distance education. A Students' Perceived Interaction Survey (SPIS) instrument was developed to examine nine separate hypotheses about the nature of course-related interaction. A…
Descriptors: Student Attitudes, Distance Education, Models, Interaction
Peer reviewed Peer reviewed
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Wallace, John M., Jr.; Goodkind, Sara; Wallace, Cynthia M.; Bachman, Jerald G. – Negro Educational Review, 2008
Large nationally representative samples of White, Black, Hispanic, Asian American, and American Indian students were used in this study to examine current patterns and recent trends in racial, ethnic, and gender differences in school discipline from 1991 to 2005. Findings revealed that Black, Hispanic, and American Indian youth are slightly more…
Descriptors: Discipline, American Indians, Disproportionate Representation, Asian Americans
Campbell, Kathleen Taylor; Tucker, Mary L. – 1992
Since canonical correlation analysis subsumes multiple regression as a special case, and since commonality analysis (a variance partitioning procedure) has proven useful in interpreting multiple regression results, the interpretation of canonical correlation results might also be enhanced by the use of commonality analysis. In this paper, a…
Descriptors: Assistant Principals, Correlation, Elementary Secondary Education, Multivariate Analysis
Thayer, Jerome D. – 1986
The stepwise regression method of selecting predictors for computer assisted multiple regression analysis was compared with forward, backward, and best subsets regression, using 16 data sets. The results indicated the stepwise method was preferred because of its practical nature, when the models chosen by different selection methods were similar…
Descriptors: Comparative Analysis, Computer Simulation, Mathematical Models, Multiple Regression Analysis
Criswell, Larry W. – 1981
Further analysis of data previously discussed in a journal article ("Episodic Instability in School District Elections," by L. Criswell and D. Mitchell, in the July, 1980 issue of "Urban Education") indicates that the success of a school board candidate in defeating an incumbent increases the probability that other school board…
Descriptors: Analysis of Covariance, Analysis of Variance, Boards of Education, Elections
Steele, Maryann E. – 1979
The Mahalanobis distance model was compared with the linear discriminant function model and found to provide very similar results, even when a number of the variables were binary. A group of college freshmen were categorized into two groups: 116 "leavers," students who did not return for the second year, and 269 "returners."…
Descriptors: College Freshmen, Discriminant Analysis, Dropouts, Higher Education
Huberty, Carl J.; Smith, Douglas U. – 1975
Eight discriminators were identified and data were obtained from the records of 80 graduate students who attained one of four achievement levels at the conclusion of a beginning course in educational statistics. Although the internal discriminatory power of the set of eight measures was very high, estimates of the true power were discouragingly…
Descriptors: Academic Achievement, Classification, Courses, Grades (Scholastic)
D'Costa, Ayres G.; And Others – 1971
The Feasibility of developing an index to represent the degree of consistency with which a student responds to a set of items in a homogeneous scale is investigated. The dispersion of responses to a set of items by a group of subjects has typically been measured by the standard deviation. Here, the interest is in the dispersion of responses from…
Descriptors: High School Students, Individual Differences, Measurement, Occupational Surveys
Peer reviewed Peer reviewed
Sawyer, Richard – Journal of Educational Measurement, 1986
This study was designed to determine whether adjustments for the differential prediction observed among sex, racial/ethnic, or age subgroups in one freshman class at a college could be used to improve prediction accuracy for these subgroups in future freshman classes. (Author/LMO)
Descriptors: College Freshmen, Error of Measurement, Grade Prediction, Higher Education
Trupin, Laura; Sebesta, Douglas S.; Yelin, Edward – 2000
This report uses data from the Health and Retirement Survey (HRS) to analyze transitions in disabilities and employment from 1992 to 1994, the first two waves of the HRS survey. The survey included people ages 51 to 61 years of age in 1992, resulting in 8,737 participants. The report estimates the incidence of disabilities from 1992 to 1994 and…
Descriptors: Disabilities, Employment Patterns, Employment Statistics, Incidence
Peer reviewed Peer reviewed
Novick, Melvin R.; Jackson, Paul H. – American Educational Research Journal, 1974
(See also TM 501 087, TM 501 089 and TM 501 090.)
Descriptors: Bayesian Statistics, Models, Multiple Regression Analysis, Prediction
Peer reviewed Peer reviewed
Sawyer, Richard – Journal of Educational Statistics, 1982
Rules are given for estimating accuracy of predictions based on a multiple regression equation. Formulas for moments of distribution and other parameters are noted. The approximate inflation in mean absolute error due to estimating the regression coefficients is a function of the base sample size and number of predictors. (DWH)
Descriptors: Colleges, Estimation (Mathematics), Multiple Regression Analysis, Predictive Validity
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