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Aiken, John M.; Henderson, Rachel; Caballero, Marcos D. – Physical Review Physics Education Research, 2019
Physics education research (PER) has used quantitative modeling techniques to explore learning, affect, and other aspects of physics education. However, these studies have rarely examined the predictive output of the models, instead focusing on the inferences or causal relationships observed in various data sets. This research introduces a modern…
Descriptors: Physics, Bachelors Degrees, College Science, Student Records
Jensen, Philip A.; Barron, James N. – Journal of College Science Teaching, 2014
Students routinely ignore negative feedback regarding their performances early in college science courses. In this study we analyzed the extent to which two standard forms of feedback, midterm and first-exam grades, correlated with final grades in several biology courses. The courses ranged from an introductory course for nonmajors to upper…
Descriptors: Biology, Predictive Validity, Grade Prediction, Feedback (Response)
Crouch, Suzanne J. – Journal of College Teaching & Learning, 2015
The purpose of this study was to assess the merit of the Watson-Glaser Critical Thinking Appraisal as a pre-admission criterion in conjunction with the frequently utilized admission criteria of the college prerequisite grade point average and the National League of Nursing pre-admission test. Data were collected from 192 first-year nursing…
Descriptors: Nursing Education, Success, Predictor Variables, Admission Criteria
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
Slanger, William D.; Berg, Emily A.; Fisk, Paul S.; Hanson, Mark G. – Journal of College Student Retention: Research, Theory & Practice, 2015
Ten years of College Student Inventory (CSI) data from one Midwestern public land-grant university were used to study the role of motivational factors in predicting academic success and college student retention. Academic success was defined as cumulative grade point average (GPA), cumulative course load capacity (i.e., the number of credits…
Descriptors: Longitudinal Studies, Cohort Analysis, Student Motivation, Academic Achievement
Cavallo, Fernando – ProQuest LLC, 2012
The current study was completed through a retrospective analysis of school records of elementary school students in the Northeast Region of the Philadelphia School District (PSD) who have participated in the Fast ForWord (FFW) Language program. The data requested from student records included: demographic information (e.g., gender, grade, age,…
Descriptors: Student Records, Program Effectiveness, Intervention, Reading Programs
Marnewick, Carl – Educational Studies, 2012
First-year students are still failing at an alarming rate. This is an international issue that universities face and there is currently no clear indication of the cause of the problem as universities move from being elite to providing mass education. This article examines the possible correlation between students' high school performance and…
Descriptors: Academic Achievement, Admission Criteria, Correlation, Mathematics Achievement
Kadhi, T.; Rudley, D.; Holley, D.; Krishna, K.; Ogolla, C.; Rene, E.; Green, T. – Online Submission, 2010
The following report of descriptive statistics addresses the attendance of the 2012 class and the average Actual and Predicted 1L Grade Point Averages (GPAs). Correlational and Inferential statistics are also run on the variables of Attendance (Y/N), Attendance Number of Times, Actual GPA, and Predictive GPA (Predictive GPA is defined as the Index…
Descriptors: Grade Point Average, Law Schools, Statistical Analysis, Databases
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
WATLEY, DONIVAN J. – 1967
THE PREDICTIVE SKILLS OF CLINICAL JUDGES WERE TESTED TO DETERMINE (1) IF VALIDATION EXPERIENCE AFFECTS THE ACCURACY OF CLINICAL JUDGMENT AND (2) IF THE CLINICAL JUDGE KNOWS WHEN TO DEVIATE FROM STATISTICAL PREDICTIONS. EIGHTEEN COUNSELORS WHO HAD PARTICIPATED IN A PREVIOUS INVESTIGATION OF PREDICTIVE SKILLS TOOK PART IN THE EXPERIMENT. ALL…
Descriptors: Achievement Rating, Clinical Diagnosis, College Students, Counselors

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