Developing and measuring is scales using item response theory

Thomas Rusch, Patrick Mair, Paul Benjamin Lowry, Horst Treiblmaier

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

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 item response theory (IRT) as a viable alternative. Subsequently, we use the CTT approach as well as Rasch models (a class of restrictive IRT models) to develop a scale for measuring the hedonic aspects of websites. The results illustrate how IRT can not only be successfully applied in IS research but also provide improved results over CTT approaches. © (2013) by the AIS/ICIS Administrative Office All rights reserved.
Original languageEnglish
Title of host publicationInternational Conference on Information Systems (ICIS 2013): Reshaping Society Through Information Systems Design
Pages1135-1150
Volume2
Publication statusPublished - 2013
Event34th International Conference on Information Systems (ICIS 2013) - Milan, Italy
Duration: 15 Dec 201318 Dec 2013

Publication series

Name
Volume2

Conference

Conference34th International Conference on Information Systems (ICIS 2013)
Abbreviated titleICIS 2013
Country/TerritoryItaly
CityMilan
Period15/12/1318/12/13

Research Keywords

  • Classical test theory
  • Hedonic information systems
  • Hedonism
  • Item response theory
  • Measurement
  • Partial credit model
  • Rasch model

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