This customized study will help you evaluate the success of your institution’s College Level Examination Program® (CLEP) exam placement policies. It gives you information on how well your current policies for granting CLEP credit for introductory courses are working for each higher-level course you choose to study.
To assess whether a particular policy is working as intended, the study will compare the performance of students who entered the higher-level course through CLEP credit to the performance of students who entered the course by completing the introductory CLEP-equivalent course(s) at your institution.
Designing Your Study
Get an overview of how to design your study below. For detailed step-by-instructions, download the ACES CLEP Placement Validity Study Guide (.pdf/645KB) or see the FAQ at the bottom of this page.
Choosing a Criterion and Predictors
In an ACES study, a criterion means a measure of student success that can be used to validate your admission or placement policies. The standard criterion for an ACES placement validity study is an end-of-course grade in a specific college course. For a CLEP placement validity study, you should use the course into which you place your students rather than the course out of which you will place students.
A predictor means a data point that you’re using to make your decisions and whose effectiveness you want to analyze. The standard predictors for an ACES CLEP placement validity study are CLEP exam scores or final grade in the course for which your institution offers CLEP credit.
Submitting Your Student Data
Which Students to Include
To be included in the sample, students must have valid course grades on the criterion. Your results will help you make more accurate predictions if you keep these rules in mind:
- The sample of students used for the study should be similar to the group of students whose success you want to predict. Characteristics of the population such as gender, ethnicity, and age should be represented in the sample. We recommend including at least one entire cohort of students and two academic years of course grades.
- The data from the predictor must have been collected before the criterion. That is to say, CLEP exam scores or prerequisite courses must have been completed before the student took the criterion course.
For help in analyzing the validity of a predictor for a sequence of courses, contact the ACES staff at aces-collegeboar[email protected].
Which Data to Include
You’ll need to supply information on the CLEP credit and placement policy at your institution, data on the predictors (e.g., students' CLEP scores or course grades in courses for which your institution offers CLEP credit) and data on the criterion (e.g., their final grade in the relevant course at your institution).
Submitting Your Data File
You’ll be prompted to submit a data file when you design a new study. You can upload a new data file or reuse one from a previous study.
Your data file format must be Microsoft Excel, Comma Separated Value (CSV), Tab Delimited (.txt), or SAS Transport (XPORT).
For detailed information on preparing your data file, see the ACES Data Preparation Guidelines (.pdf/606KB).
Getting Your Report
When your study is complete—within 20 business days of your completed request—we’ll notify you that your report is available on the ACES website and you can sign in to access it. You’ll get two deliverables:
- A complete, printable report in PDF format that shows the strength of your chosen predictors of success—alone and in combination—with charts, tables, and detailed explanations.
- A report in HTML format featuring interactive graphs. You can click to display or hide data, compare data, zoom in and out, take a snapshot, sort table columns, and more.
See a Sample Report
ACES Sample CLEP Placement Validity Report
Sample ACES report analyzing how performance on CLEP exams relates to student performance in sequent and subsequent coursework to evaluate credit and placement policies.
ACES Sample CLEP Placement Validity Report: Interactive Graphs
Sample interactive graphs that accompany the above report.