Multi-method approach measuring trust, distrust, and suspicion in information technology

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Abstract

In two studies, we examined the measurement of complex state variables with length of response, construct word counts, Likert-type responding, self-reports of past behaviors, and implicit associations. In the first study, participants were primed to write in a control condition and a suspicion condition, which were also used as referents for self-reports, past behaviors, and priming for implicit associations. In the second study, participants were primed for trust and distrust. Results indicated length of response, construct word counts, Likert-type responding, and self-reports of behavior were all affected by the manipulations, indicating they measure the state constructs adequately. However, length of response was also influenced by which condition participants received first, indicating a possible exhaustion effect. Implicit associations indicated no change due to the manipulations.

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Jessup, S. A., Alarcon, G. M., Capiola, A., & Ryan, T. J. (2020). Multi-method approach measuring trust, distrust, and suspicion in information technology. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12210 LNCS, pp. 412–426). Springer. https://doi.org/10.1007/978-3-030-50309-3_27

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