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Contributions of Selected Transcript Information to Prediction of Law School Performance

Reilly, Richard R.
Publication Year:
Report Number:
ETS Research Bulletin
Document Type:
Page Count:
Subject/Key Words:
Academic Achievement, Academic Records, Law Schools, Multiple Regression Analysis, Predictive Measurement


Graduate and professional schools usually base their admissions decisions on a combination of test scores and on an overall index of undergraduate achievement such as cumulative grade-point average or rank-in-class. The present study sought to investigate whether considering more specific indices of undergraduate performance, through a detailed analysis of college transcripts, could lead to increased accuracy in predicting law school performance. Stepwise multiple regression analyses, performed separately for each of two schools, resulted in the selection of the LSAT, social science GPA, and a moderator variable as the most useful predictors. Because of the effects of section, however, caution was urged in interpreting the results. (Author) (17pp.)

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