A Monte Carlo Comparison of Item and Person Statistics Based on Item Response Theory versus Classical Test Theory

2002 ◽  
Vol 62 (6) ◽  
pp. 921-943 ◽  
Author(s):  
Paul Macdonald ◽  
Sampo V. Paunonen
Keyword(s):  
Monte Carlo ◽  
Item Response Theory ◽  
Item Response ◽  
Classical Test Theory ◽  
Test Theory ◽  
Response Theory ◽  
Classical Test ◽  
Theory Versus

Item response theory

2015 ◽  
Author(s):  
David L. Streiner ◽  
Geoffrey R. Norman ◽  
John Cairney
Keyword(s):  
Item Response Theory ◽  
Psychometric Properties ◽  
Item Response ◽  
Traditional Approach ◽  
Classical Test Theory ◽  
Test Theory ◽  
Response Theory ◽  
Advantages And Disadvantages ◽  
The Past ◽  
Classical Test

Over the past few decades, there has been a revolution in the approach to scale development. Called item response theory (IRT), this approach challenges the notion that scales must be long in order to be reliable, and that psychometric properties of a scale derived from one group of people cannot be applied to different groups. This chapter provides an introduction to IRT, and discusses how it can be used to develop scales and to shorten existing scales that have been developed using the more traditional approach of classical test theory. IRT also can result in scales that have interval-level properties, unlike those derived from classical test theory. Further, it allows people to be compared to one another, even though they may have completed different items, allowing for computer-adapted testing. The chapter concludes by discussing the advantages and disadvantages of IRT.

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