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Area of Science:

  • Social Sciences
  • Linguistics
  • Communication Studies

Background:

  • Conversation analysis (CA) offers methods for studying talk-in-interaction.
  • Survey interviews involve complex conversational practices affecting recruitment and data quality.
  • Existing research highlights the relevance of CA in various interactional contexts.

Purpose of the Study:

  • To review and apply conversation analysis (CA) to understand survey interview dynamics.
  • To explore how conversational practices influence respondent participation and data measurement.
  • To propose new CA applications for analyzing survey interview interactions, such as yes-no questions.

Main Methods:

  • Selective review of existing literature on conversation analysis in survey interviews.
  • Application of CA principles to analyze interactional sequences in recruitment and data collection phases.
  • Examination of specific conversational practices, including those disrupting standard question-answer formats.

Main Results:

  • CA provides valuable insights into the formation of actions and sequential organization within survey interviews.
  • Conversational practices significantly impact respondent recruitment and participation rates.
  • Interactional dynamics can complicate or disrupt the intended measurement of constructs in survey interviews.

Conclusions:

  • Conversation analysis is a powerful tool for understanding and improving survey interview methodology.
  • Analyzing talk in interviews enhances our understanding of participation and data accuracy.
  • Further CA research can refine how we measure constructs through interactive processes.