Extending the Cognitive Aspects of Survey Methodology (CASM): Mental State, Social Control, and Literacy in Online and Offline Surveys

Abstract

The rapid diffusion of online surveys has transformed data collection practices in social, business, and public policy research, often positioning self-administered online surveys as substitutes for interviewer-assisted offline surveys. However, operational efficiency does not automatically translate into higher data validity. From a data-centered perspective, data validity emerges from the interaction among the questionnaire, respondents, and enumerators. In offline surveys, enumerators act as cognitive and social mediators by ensuring comprehension, providing clarification, and maintaining social control—functions that are structurally absent in online surveys. Consequently, online surveys transfer the burden of comprehension and response quality control entirely to respondents, making measurement outcomes highly dependent on respondents’ mental state and literacy dependence, while increasing the likelihood of satisficing under low-accountability conditions. Building on the Cognitive Aspects of Survey Methodology (CASM), this article argues that classical CASM implicitly assumes relatively homogeneous measurement conditions across survey modes. To address this limitation, the study proposes an enrichment of CASM by explicitly incorporating respondent mental state, literacy dependence, and social control at the comprehension stage as key structural distinctions between online and offline survey environments, with direct implications for data validity.