Test Scoring and Analysis Using SAS by Cody, Ron -- Read -- Imperial Library of Trantor

Index

List of Programs About This Book About These Authors Acknowledgments Chapter 1: What This Book Is About

Introduction An Overview of Item Analysis and Test Reliability A Brief Introduction to SAS

Chapter 2: Reading Test Data and Scoring a Test

Introduction Reading Data from a Text File and Scoring a Test Explanation of Program 2.1 Reading Space-Delimited Data Reading Comma-Delimited Data (CSV File) Reading Data Directly from an Excel Workbook Reading an Answer Key from a Separate File Modifying the Program to Score a Test of an Arbitrary Number of Items Displaying a Histogram of Test Scores Matching Student Names with Student IDs Creating a Fancier Roster Using PROC REPORT Exporting Your Student Roster to Excel Conclusion

Chapter 3: Computing and Displaying Answer Frequencies

Introduction Displaying Answer Frequencies (in Tabular Form) Modifying the Program to Display the Correct Answer in the Frequency Tables Developing an Automated Program to Score a Test and Produce Item Frequencies Displaying Answer Frequencies in Graphical Form Conclusion

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 Chapter 5: Classical Item Analysis Introduction Point-Biserial Correlation Coefficient Making a More Attractive Report The Next Step: Restructuring the Data Set Displaying the Mean Score of the Students Who Chose Each of the Multiple Choices Combining the Mean Score per Answer Choice with Frequency Counts Computing the Proportion Correct by Quartile Combining All the Item Statistics in a Single Table Interpreting the Item Statistics Conclusion

Chapter 6: Adding Special Features to the Scoring Program

Chapter 7: Assessing Test Reliability

Introduction Computing Split-Half Reliability Computing Kuder-Richardson Formula 20 (KR-20) Computing Cronbach’s Alpha Demonstrating the Effect of Item Discrimination on Test Reliability Demonstrating the Effect of Test Length on Test Reliability Conclusion

Chapter 8: An Introduction to Item Response Theory - PROC IRT

Introduction IRT basics Looking at Some IRT Results What We Aren’t Looking At! Preparing the Data Set for PROC IRT Running PROC IRT Running Other Models Classical Item Analysis on the 30-Item Physics Test Conclusion References

Chapter 9: Tips on Writing Multiple-Choice Items

Introduction Getting Started/Organized Types of Items for Achievement Tests Conclusion References

Chapter 10: Detecting Cheating on Multiple- Choice Tests

Introduction How to Detect Cheating: Method One How to Detect Cheating: Method Two Searching for a Match Conclusion References

Chapter 11: A Collection of Test Scoring, Item Analysis, and Related Programs

Introduction Scoring a Test (Reading Data from a Text File) Scoring a Test (Reading Data From an Excel File) Printing a Roster Data Checking Program Item Analysis Program Program to Delete Items and Rescore the Test Scoring Multiple Test Versions (Reading Test Data and Correspondence Data from Text Files) Scoring Multiple Test Versions (Reading Test Data from a Text File and Correspondence Data from an Excel File) Scoring Multiple Test Versions (Reading Test Data and Correspondence Data from Excel Files) KR-20 Calculation Program to Detect Cheating (Method One) Program to Detect Cheating (Method Two) Program to Search for Possible Cheating Conclusion

Index