Showing 1 - 2 of 2 Research Library Publications

Extracting Linguistic Signal From Item Text and Its Application to Modeling Item Characteristics

Posted: | Victoria Yaneva, Peter Baldwin, Le An Ha, Christopher Runyon

Advancing Natural Language Processing in Educational Assessment: Pages 167-182

 

This chapter discusses the evolution of natural language processing (NLP) approaches to text representation and how different ways of representing text can be utilized for a relatively understudied task in educational assessment – that of predicting item characteristics from item text.

Category:Assessment-Oriented Research, Applications of Technology, Scoring

Impact of Both Local Item Dependencies and Cut-Point Locations on Examinee Classifications

Posted: | J. D. Rubright

Educational Measurement: Issues and Practice, 37: 40-45

 

This simulation study demonstrates that the strength of item dependencies and the location of an examination systems’ cut‐points both influence the accuracy (i.e., the sensitivity and specificity) of examinee classifications. Practical implications of these results are discussed in terms of false positive and false negative classifications of test takers.

Category:Assessment-Oriented Research, General Measurement, Scoring