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Osborne-Lampkin, La'Tara; Folsom, Jessica Sidler; Herrington, Carolyn D. – Regional Educational Laboratory Southeast, 2015
This systematic review of the relationships between principal characteristics and student achievement was created for educators, administrators, policy-makers, and other individuals interested in a comprehensive catalogue of research on relations between principal characteristics and student achievement. It synthesizes what is known about…
Descriptors: Administrator Characteristics, Academic Achievement, Correlation, Meta Analysis
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McKeown, Tui; Anderson, Mary – Education & Training, 2016
Purpose: While educators and students alike are increasingly moving to use on-line technologies, there is still much to be learned about how these tools influence student learning. The purpose of this paper is to present a comparative investigation of the online use of one undergraduate (UG) and two postgraduate (PG) student cohorts undertaking…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Educational Technology
Eaton, Susan – National Coalition on School Diversity, 2011
This is the second in a series of briefs summarizing findings from the newest and most rigorous research related to racial and socioeconomic diversity in public schools. The studies on which this brief is based were published recently in three special issues of the peer-reviewed journal, "Teachers College Record," edited by Professors…
Descriptors: Racial Differences, Socioeconomic Influences, Public Schools, Correlation
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du Feu, Chris – Teaching Statistics, 1999
Describes a practical classroom activity for sorting lists of numbers to lead to statistical analysis. (Author/ASK)
Descriptors: Correlation, Mathematics Activities, Mathematics Instruction, Secondary Education
Bachman, Jerald G.; O'Malley, Patrick M.; Schulenberg, John E.; Johnston, Lloyd D.; Freedman-Doan, Peter; Messersmith, Emily E. – Psychology Press, Taylor & Francis Group, 2007
Does success in school protect teenagers from drug use? Does drug use impair scholastic success? This book tackles a key issue in adolescent development and health--the education-drug use connection. The authors examine the links and likely causal connections between educational experiences, delinquent behavior, and adolescent use of tobacco,…
Descriptors: Adolescent Development, Delinquency, Marijuana, Cocaine
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Adams, Robert M.; Murphy, Roger J. L. – Educational Studies, 1982
Compares three statistical methods for measuring the weight of examination components in determining the ranking of overall results. The authors demonstrate the limitations in using standard deviation and part-with-whole correlations and show how covariance techniques provide the best indicators of component weights. Theoretical objections to the…
Descriptors: Analysis of Covariance, Correlation, Elementary Secondary Education, Higher Education
Sanders, William V. – 1988
COMPENSTAT, a menu-driven statistical program for IBM-compatible microcomputers, has two distinct versions: instructional and computational. The instructional version can be used by instructors as a classroom resource, and the computational version is used directly by students to calculate answers to problems. The software package is primarily…
Descriptors: Analysis of Variance, Business Administration Education, Business Education Teachers, Computer Assisted Instruction
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Goldstein, Miriam D.; Strube, Michael J. – Teaching of Psychology, 1995
Describes two QuickBASIC programs that provide students direct experience with interpreting correlation scatter-plots. Maintains that the programs can be used in classroom exercises to highlight factors that influence the size of a Pearson correlation coefficient. (CFR)
Descriptors: Computer Software Development, Computer Uses in Education, Correlation, Data Analysis
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Strube, Michael; Goldstein, Miriam D. – Teaching of Psychology, 1995
Describes a QuickBASIC program for demonstrating the differences between main effects and interactions in factorial designs. The program can be used in conjunction with a traditional lecture to improve student understanding and develop skills in recognizing main effects and interactions from graphic displays. (CFR)
Descriptors: Computer Software Development, Computer Uses in Education, Correlation, Data Analysis
Hafner, Arthur W. – 1998
A thorough understanding of the uses and applications of statistical techniques is integral in gaining support for library funding or new initiatives. This resource is designed to help practitioners develop and manipulate descriptive statistical information in evaluating library services, tracking and controlling limited resources, and analyzing…
Descriptors: Correlation, Data Interpretation, Libraries, Library Education
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Crisman, Francis; Mackey, James – Theory and Research in Social Education, 1990
Twenty-five eleventh grade classes were taught two social studies concepts, sovereignty and comparative advantage, using written or oral methods. Methods differed in their use and sequence of examples to explicate definitions. Finds using examples increased concept attainment. Suggests sequence was important for the more complex, relational…
Descriptors: Classroom Research, Cognitive Development, Cognitive Style, Comparative Analysis
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Maeshiro, Asatoshi – Journal of Economic Education, 1996
Rectifies the unsatisfactory textbook treatment of the finite-sample proprieties of estimators of regression models with a lagged dependent variable and autocorrelated disturbances. Maintains that the bias of the ordinary least squares estimator is determined by the dynamic and correlation effects. (MJP)
Descriptors: Causal Models, Correlation, Economics Education, Heuristics
Lavelle, Ellen; Rickord, Bill – 1997
This research study reports the results of an attempt to build a model of individual differences in undergraduate student development based on factor analysis of a wide range of students' beliefs and behaviors. An 127-item inventory named the Dakota Inventory of Student Orientations was administered to 738 male and female undergraduate students in…
Descriptors: Attitude Measures, Correlation, Factor Analysis, General Education