Construction and psychometric properties of a computer memory battery using classical test theory and item response theory

2011 ◽  
Author(s):  
Aristides Ferreira
Author(s):  
David L. Streiner ◽  
Geoffrey R. Norman ◽  
John Cairney

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.


2019 ◽  
Vol 23 (4) ◽  
pp. 275-283
Author(s):  
Ling Wang ◽  
John W. Nelson

The aim of the study is to evaluate psychometric properties of the Chinese version of Caring Factor Survey-Caring of Manager (CFS-CM), which evaluated by using with classical test theory (CTT) and item response theory (IRT). CTT analyses evaluate include internal consistence reliability, test–retest reliability and construct validity. IRT analyses were conducted to test the unidimensionality, item fit, item difficulty, the reliability, and rating scale analysis. CTT showed good psychometric properties of the CFS-CM. However, IRT revealed some problems of category level. Taking the above issue into consideration, it could be beneficial to perfect the CFS-CM in the future.


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