Despite the well-known theoretical differences between item response theory (IRT) and classical test theory (CTT), research examining their empirical properties has failed to reveal consistent, demonstrable differences due to usage of samples with errors, incorrect assumptions & incorrect calculations. Dr. Natarajan (India, 1984) had proved the item invariance with his classic 20 X 76 test data...

This research aims at exploring the critical success factors in addition to the captured benefits and value with regard to the use and deployment of Iris Recognition Technology (IRT) in the banking industry. We discuss the traditional practices of information security models in the banking sector and how these models have been significantly improved by the use of biometrics and more specificall...

Information Systems (IS) research frequently uses survey data to measure the interplay between technological systems and human beings. Researchers have developed sophisticated procedures to build and validate multi-item scales that measure latent constructs. Most studies use classical test theory (CTT), which suffers from several theoretical shortcomings. We discuss these problems and present i...

BACKGROUND Performance on psychometric tests is key to diagnosis and monitoring treatment of dementia. Results are often reported as a total score, but there is additional information in individual items of tests which vary in their difficulty and discriminatory value. Item difficulty refers to an ability level at which the probability of responding correctly is 50%. Discrimination is an index ...

Item response theory (IRT) is an important method of assessing the validity of measurement scales that is underutilized in the field of psychiatry. IRT describes the relationship between a latent trait (e.g., the construct that the scale proposes to assess), the properties of the items in the scale, and respondents' answers to the individual items. This paper introduces the basic premise, assum...

Due to the computerization of assessment tests, the use of Item Response Theory (IRT) has become commonplace for educational assessment development, evaluation, and refinement. When used appropriately by a Learning Management System (LMS), IRT can improve the assessment quality, increase the efficiency of the testing process, and provide in-depth descriptions of item and test properties. This p...

Item response theory (IRT) models emerged to solve practical testing problems in large-scale cognitive achievement and aptitude assessment. Within the last decade, an explosion of IRT applications have occurred in the non-cognitive domain. In this report, I highlight the development, implementation, and results of a single project: Patient Reported Outcomes Measurement Information Systems (PROM...