Item Context Effects in IS Survey Research

Wendy Hui

Abstract


This paper discusses correlational and directional item context effects as two method biases that can threaten the validity of survey data. Two empirical studies are used to establish their presence in IS research. In addition, item separation with partial randomization is shown to be a viable way for researchers to control for correlational item context effects associated with inflatedCronbach’s alphas. 

Keywords


Questionnaire surveys, Research methods, Item context effects

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Hui, W. (2012). " Item Context Effects in IS Survey Research "Pacific Asia Journal of the Association for Information Systems, 4(4), pp.21-42.