Gary Pike, Ph.D., Executive Director, Information Management & Institutional Research
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Transcript of Gary Pike, Ph.D., Executive Director, Information Management & Institutional Research
College Board Study:Predictive Validity of the SAT & the Relationship with IUPUI Admission Standards
Gary Pike, Ph.D., Executive Director, Information Management &
Institutional Research
Chris J. FoleyDirector of Undergraduate Admissions
October 2013
Guiding Principles for Setting Standards
• Consider the impact on the size and the composition of the incoming class;
• Set standards that select students who have a reasonable chance of success;
• Retain academic performance in high school as the primary element;
• Use standardized test scores only in collaboration with another predictor of success (e.g., academic performance in high school);– Supported by research on use of test scores in predicting student
success when used with other factors;• Construct guidelines that would be easily communicated to
audiences to ensure transparency of decisions.– Consider both internal and external audiences
Current Factors for Freshman Admission Decisions(from most to least important)
• Curricular Rigor– Students with Academic Honors are admitted regardless of
GPA or test score• Cumulative High School GPA– We take the best of either the weighted or unweighted GPA– Core 40 students with a 3.5 HS GPA or higher are admitted
regardless of test score• SAT or ACT score– We “super-score” both the SAT and ACT– We take the best of either the SAT or ACT
Admission Standards for Freshman Applicants with Core 40 Diploma Only
Measures Related to First-Year GPA
• Strong Predictors– High School GPA– SAT (Critical Reading + Math)
• Moderate Predictors– Number of AP Exams Taken– Number of Honors/AP Courses Taken
• Weak Predictors– Years of math in High School– Years of English in High School
Predictive Accuracy of the Model
Student Performance N Percent
Better than predicted 744 34.6%
As well as predicted 1112 51.6%
Lower than predicted 297 13.8%
TOTAL 2153
Predictive Accuracy for GroupsDemographic Group Predicted Actual Adjusted Difference
Gender Males 2.52 2.57 2.49 -0.03
Females 2.61 2.76 2.62 0.01
Race/Ethnic Asian 2.63 2.71 2.70 0.07
Afr. Amer. 2.31 2.25 2.11 -0.20
Hispanic 2.46 2.70 2.61 0.15
White 2.62 2.75 2.63 0.01
Language English 2.58 2.67 2.56 -0.02
English + 2.52 2.81 2.73 0.21
Enrollment Full-time 2.58 2.69 2.58 0.00
Part-time 2.48 2.59 2.47 -0.01