‘I Just Don’t Trust Them’: Reasons for Distrust and Non-Disclosure in Demographic Questionnaires for Individuals in STEM

Maria Goldshtein (), Erin K. Chiou () and Rod D. Roscoe
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Maria Goldshtein: Learning Engineering Institute, Arizona State University, Tempe, AZ 85287, USA
Erin K. Chiou: Human Systems Engineering, Arizona State University, Mesa, AZ 85212, USA
Rod D. Roscoe: Learning Engineering Institute, Arizona State University, Tempe, AZ 85287, USA

Societies, 2024, vol. 14, issue 7, 1-21

Abstract: Demographic data pertain to people’s identities and behaviors. Analyses of demographic data are used to describe patterns and predict behaviors, to inform interface design, and even institutional decision-making processes. Demographic data thus need to be complete and correct to ensure they can be analyzed in ways that reflect reality. This study consists of interviews with 40 people in STEM and addresses how causes of relational (dis)trust in demographic data collection contribute to pervasive problems of missing and incorrect responses and disobliging responses (e.g., non-disclosure, false responses, attrition, and hesitancy to use services). The findings then guide a preliminary set of recommendations for cultivating trustworthiness based on recent developments in trust theory and designing for responsive and trustworthy systems. Specifically, we explore how demographic questionnaire design (e.g., item construction and instructions) can communicate necessary reassurances and transparency for users. The ongoing research provides interview-based recommendations for improving the quality and completeness of demographic data collection. This research adds to other recommendations on improving demographic questionnaires.

Keywords: data privacy; demographic data; trust; trustworthiness; distrust; disclosure (search for similar items in EconPapers)
JEL-codes: A13 A14 P P0 P1 P2 P3 P4 P5 Z1 (search for similar items in EconPapers)
Date: 2024
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