The Rasch probabilistic model for measuring affective responses to product features
by Fabio R. Camargo; Brian Henson
International Journal of Human Factors and Ergonomics (IJHFE), Vol. 1, No. 2, 2012

Abstract: Analysis for eliciting affective responses to product features can present shortcomings if fundamental measurement principles are violated. This paper overviews the concepts of an approach for human-centred product design to overcome the problem, namely the Rasch probabilistic model. The Rasch model consists of a systematic search process currently applied with intensive computing support. The paper shows that the model could enable the development of a frame of reference for measurement structures. This is possible because Rasch analysis validates a scale through of calibration, assessing invariance of items (independent variables), potential item bias, validity of category scoring system and fit of items to the model. As a result calibrated scales might be used in customised applications without loss of comparability.

Online publication date: Wed, 06-Aug-2014

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