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Self-generated Validity, Framing Effects, and Survey Research in IS



Based on the accessibility-diagnosticity cognitive framework, we discuss self-generated validity and framing effects as two method biases that can threaten the validity of survey research results. Two empirical studies are used to establish their presence in IS research. We discuss their research implications, with a focus on model comparison and the testing of new instruments or theories. We also suggest a number methodological remedies that can control these method biases, including randomization or partial randomization of question items, temporal separation of construct measurements, replication of research studies, experimental methods and multilevel analysis with split-sample design.

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  • Wendy Hui, 2010. "Self-generated Validity, Framing Effects, and Survey Research in IS," ICBBR Working Papers 11, International Centre for Behavioural Business Research.
  • Handle: RePEc:bbr:workpa:11

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    1. Ahluwalia, Rohini & Gurhan-Canli, Zeynep, 2000. " The Effects of Extensions of the Family Brand Name: An Accessibility-Diagnosticity Perspective," Journal of Consumer Research, Oxford University Press, vol. 27(3), pages 371-381, December.
    2. Williams, Larry J. & Brown, Barbara K., 1994. "Method Variance in Organizational Behavior and Human Resources Research: Effects on Correlations, Path Coefficients, and Hypothesis Testing," Organizational Behavior and Human Decision Processes, Elsevier, vol. 57(2), pages 185-209, February.
    3. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    4. Sendhil Mullainathan & Marianne Bertrand, 2001. "Do People Mean What They Say? Implications for Subjective Survey Data," American Economic Review, American Economic Association, vol. 91(2), pages 67-72, May.
    5. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    6. Naresh K. Malhotra & Sung S. Kim & Ashutosh Patil, 2006. "Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research," Management Science, INFORMS, vol. 52(12), pages 1865-1883, December.
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    IT; Questionnaire surveys; User acceptance of IT; IT diffusion and adoption.;

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