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Richards, Adam S. – Communication Education, 2012
This case study of the Department of Communication at the University of Maryland demonstrates the need to consider course sequencing in the communication curriculum. The investigation assessed whether the order in which undergraduates took courses predicted grade performance. Students' (N = 6,166) grade data from earlier courses were used to…
Descriptors: Program Effectiveness, Introductory Courses, Curriculum Development, Social Sciences
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McKay, Michael T.; Cole, Jon C. – Drugs: Education, Prevention & Policy, 2012
This cross-sectional study investigated the bivariate and more fully controlled (with socio-demographic measures) relationship between self-reported drinking behaviour and peer pressure susceptibility, desire for peer popularity and general conformity in a sample of 11-16-year-old school children in Northern Ireland. Self-reported drinking…
Descriptors: Case Studies, Peer Influence, Social Behavior, Risk
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Cox, G. W.; Hughes, W. E., Jr.; Etzkorn, L. H.; Weisskopf, M. E. – IEEE Transactions on Education, 2009
This paper presents the results of an analysis of indicators that can be used to predict whether a student will succeed in a Computer Science Ph.D. program. The analysis was conducted by studying the records of 75 students who have been in the Computer Science Ph.D. program of the University of Alabama in Huntsville. Seventy-seven variables were…
Descriptors: Case Studies, Prediction, Computer Science Education, Doctoral Degrees
Clark, Sheldon B.; Nichols, James O. – 1983
Survey data concerning teacher education program graduates were used to demonstrate the advantages of a stratified random sampling approach, with followup, relative to a one-shot mailing to an entire population. Sampling issues involved in such an approach are addressed, particularly with regard to quantifying the effects of nonresponse on the…
Descriptors: Case Studies, Followup Studies, Graduate Surveys, Higher Education
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Aegisdottir, Stefania; Spengler, Paul M.; White, Michael J. – Counseling Psychologist, 2006
In this rejoinder, the authors respond to the insightful commentary of Strohmer and Arm, Chwalisz, and Hilton, Harris, and Rice about the meta-analysis on statistical versus clinical prediction techniques for mental health judgments. The authors address issues including the availability of statistical prediction techniques for real-life psychology…
Descriptors: Meta Analysis, Mental Health, Prognostic Tests, Psychological Evaluation