Partial Credit Models for Scale Construction in Hedonic Information Systems

Patrick Mair, Horst Treiblmaier

Publikation: Working/Discussion PaperWU Working Paper


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 real world phenomena (latent constructs). Most studies use the so-called classical test theory (CTT), which suffers from several shortcomings. We first compare CTT to Item Response Theory (IRT) and subsequently apply a Rasch model approach to measure hedonic aspects of websites. The results not only show which attributes are best suited for scaling hedonic information systems, but also introduce IRT as a viable substitute that overcomes severall shortcomings of CTT. (author´s abstract)
HerausgeberDepartment of Statistics and Mathematics, WU Vienna University of Economics and Business
PublikationsstatusVeröffentlicht - 2008


NameResearch Report Series / Department of Statistics and Mathematics

WU Working Paper Reihe

  • Research Report Series / Department of Statistics and Mathematics

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