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Dorans, Neil J. – ETS Research Report Series, 2018
A distinction is made between scores as measures of a construct and predictions of a criterion or outcome variable. The interpretation attached to predictions of criteria, such as job performance or college grade point average (GPA), differs from that attached to scores that are measures of a construct, such as reading proficiency or knowledge…
Descriptors: Job Performance, Scores, Data Interpretation, Statistical Distributions
Pacheco, Wendy I.; Noel, Richard J., Jr.; Porter, James T.; Appleyard, Caroline B. – CBE - Life Sciences Education, 2015
The use and validity of the Graduate Record Examination General Test (GRE) to predict the success of graduate school applicants is heavily debated, especially for its possible impact on the selection of underrepresented minorities into science, technology, engineering, and math fields. To better identify candidates who would succeed in our program…
Descriptors: Puerto Ricans, Predictor Variables, Success, Doctoral Programs
Rockinson-Szapkiw, Amanda J.; Bray, Oliver R., Jr.; Spaulding, Lucinda S. – Journal of College Student Retention: Research, Theory & Practice, 2014
This study examines how GRE scores can be used to better understand Education doctoral candidates' methodology choices for the dissertation as well as their persistence behaviors. Candidates' of one online doctoral education program were examined. Results of a MANOVA suggested that there is no difference in GRE scores based on doctoral candidates'…
Descriptors: Predictive Validity, Doctoral Programs, College Entrance Examinations, Success
Bridgeman, Brent; Burton, Nancy; Cline, Frederick – Applied Measurement in Education, 2009
Descriptions of validity results based solely on correlation coefficients or percent of the variance accounted for are not merely difficult to interpret, they are likely to be misinterpreted. Predictors that apparently account for a small percent of the variance may actually be highly important from a practical perspective. This study combined two…
Descriptors: Predictive Validity, College Entrance Examinations, Graduate Study, Grade Point Average
Ramineni, Chaitanya; Trapani, Catherine S.; Williamson, David M.; Davey, Tim; Bridgeman, Brent – ETS Research Report Series, 2012
Automated scoring models for the "e-rater"® scoring engine were built and evaluated for the "GRE"® argument and issue-writing tasks. Prompt-specific, generic, and generic with prompt-specific intercept scoring models were built and evaluation statistics such as weighted kappas, Pearson correlations, standardized difference in…
Descriptors: Scoring, Test Scoring Machines, Automation, Models
Young, I. Phillip – Journal of Research on Leadership Education, 2008
Empirical studies addressing admission to and graduation from a doctoral program focusing on educational leadership are noticeably absent within the professional literature, and this study seeks to fill partially this void through testing specific hypotheses. Archival data were used to conduct a three group discriminant analyses where the…
Descriptors: Grade Point Average, Predictive Validity, Doctoral Programs, Sampling

Ethington, Corinna A.; Wolfe, Lee M. – Research in Higher Education, 1986
The exploratory data analysis method of median polishing was used to examine patterns of differences in male and female performance on the Graduate Record Examination quantitative and analytical tests. Males were found overall to outperform females on the quantitative measure but not on the analytical measure. (Author/MLW)
Descriptors: Academic Achievement, College Entrance Examinations, Comparative Analysis, Data Analysis

Auld, Lawrence W. S. – Library and Information Science Research, 1989
Describes a study that examined the usefulness of undergraduate and graduate grade point averages, Graduate Record Examination general test scores, and years since graduation as predictors of professional salaries for librarians. Correlations were found for men and persons employed in some types of libraries. Suggestions for further research are…
Descriptors: Academic Achievement, Grade Point Average, Graduate Surveys, Higher Education

Oltman, Philip K.; Hartnett, Rodney T. – Journal of Higher Education, 1985
Data about how graduate departments use the Graduate Record Examinations (GRE), what scores are required, and how these admission policies are associated with the quality of graduate programs are analyzed. The results indicate that 64 percent of graduate departments require or recommend GRE scores from applicants. (Author/MLW)
Descriptors: Admission Criteria, College Admission, College Entrance Examinations, Data Analysis

Case, Donald O.; Richardson, John V. – Journal of Education for Library and Information Science, 1990
This study compared graduates and nongraduates of the Graduate School of Library and Information Science (GSLIS) at the University of California-Los Angeles (UCLA) using 28 student characteristics as variables. The findings indicate that the optimal predictors of GSLIS grade point average (GPA) and completion of the program are undergraduate GPA,…
Descriptors: Academic Achievement, Foreign Students, Grade Point Average, Graduate Students

Auld, Lawrence – Library Quarterly, 1984
Examines Graduate Record Examination (GRE) Analytical Ability Test as admissions factor for master's degree in library and information science. Correlations of GRE General (Aptitude) Test scores and grade point averages for graduates and denied applicants of University of Illinois master of library science degree program are included. (7…
Descriptors: Admission Criteria, Cognitive Ability, College Entrance Examinations, Correlation
Morris, J. E. – Engineering Education, 1987
Describes a survey of electrical engineering education departments at 147 universities to find out if the Graduate Record Examinations (GRE) were used in the admissions process and under what conditions. Tabulates the data according to GRE requirements. Discusses the purposes of requiring the GRE in admissions. (CW)
Descriptors: Admission Criteria, College Entrance Examinations, College Science, Data Analysis