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

1 Citation (Scopus)

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
PlaceItaly
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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