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Day, Indira N. Z.; van Blankenstein, Floris M.; Westenberg, P. Michiel; Admiraal, Wilfried F. – Higher Education Research and Development, 2018
Individual student success is influenced by the educational environment and student characteristics. One adaptation of the educational environment to improve student success is the introduction of continuous, or in-course, assessment. Previous research already identified several student characteristics that are related to student success as…
Descriptors: Student Characteristics, Statistical Analysis, Academic Achievement, Questionnaires
Kadhi, T.; Holley, D.; Garrison, P.; Green, T.; Palasota, A. – Online Submission, 2010
The following report of descriptive statistics gives the passing percentages of the Bar examination for the Thurgood Marshall School of Law (TMSL) for the calendar years of 2005-2009. A Five Year Analysis is given for the entire period, followed by a Three Year Analysis of years 2005-2007, 2006-2008, and 2007-2009. In addition, an Annual Analysis…
Descriptors: High Stakes Tests, Statistical Analysis, Scores, School Statistics
Kadhi, T.; Holley, D.; Garrison, P.; Green, T.; Palasota, A. – Online Submission, 2010
The following report of descriptive statistics gives the passing percentages of the Bar examination for the Thurgood Marshall School of Law (TMSL) for the calendar years of 2005-2009. A Five Year Analysis is given for the entire period, followed by Annual Analysis of the same data. This report is meant to serve as a continual update of the…
Descriptors: Law Schools, Statistical Analysis, High Stakes Tests, Scores
Kadhi, T.; Holley, D.; Rudley, D.; Garrison, P.; Green, T. – Online Submission, 2010
The following report gives the statistical findings of the 2010 Thurgood Marshall School of Law (TMSL) Texas Bar results. This data was pre-existing and was given to the Evaluator by email from the Dean. Then, in-depth statistical analyses were run using the SPSS 17 to address the following questions: 1. What are the statistical descriptors of the…
Descriptors: High Stakes Tests, Statistical Analysis, Scores, Predictor Variables
Kadhi, Tau; Holley, D. – Online Submission, 2010
The following report gives the statistical findings of the July 2010 TMSL Bar results. Procedures: Data is pre-existing and was given to the Evaluator by email from the Registrar and Dean. Statistical analyses were run using SPSS 17 to address the following research questions: 1. What are the statistical descriptors of the July 2010 overall TMSL…
Descriptors: Scoring, Statistical Analysis, Scores, High Stakes Tests
Young, John W. – 1994
In this study, two statistical approaches for adjusting grades were tested on data obtained from four law schools, with samples of 157, 188, 206, and 191. These approaches were previously validated using data on undergraduates but have not been used in a study of postgraduate performance. Neither method yielded consistent improvements in the…
Descriptors: Admission (School), College Entrance Examinations, Grades (Scholastic), Higher Education
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Young, John W. – Educational and Psychological Measurement, 1995
Two statistical approaches for adjusting grades were tested on data obtained from four American law schools (642 students). Neither item response theory nor the general linear model yielded consistent improvements in the predictive validity of Law School Admission Test scores and undergraduate grades for three schools. (SLD)
Descriptors: Comparative Analysis, Grades (Scholastic), Higher Education, Item Response Theory