Test Scoring and Analysis Using SAS

Chapter 4: Checking Your Test Data for Errors

Introduction

Detecting Invalid IDs and Answer Choices

Checking for ID Errors

Using “Fuzzy” Matching to Identify an Invalid ID

Checking for and Eliminating Duplicate Records

Conclusion

Introduction

All of the programs developed so far have assumed that there are no errors in the test data. This is an unrealistic assumption. In the real world, it is likely that your student data contains errors. For example, if you are using a mark-sense reader (scanner), the student may have filled in more than one answer choice. More sophisticated scanners include darkest mark discrimination software that attempts to choose the darker mark if more than one answer is selected. This is useful when there are stray marks ...