Partial Credit Models for Scale Construction in Hedonic Information Systems

Patrick Mair, Horst Treiblmaier

Publikation: Working/Discussion PaperWU Working Paper

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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


ReiheResearch Report Series / Department of Statistics and Mathematics

WU Working Paper Reihe

  • Research Report Series / Department of Statistics and Mathematics