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The differential effects of face-to-face and computer interview modes
Jessica Clark Newman1, Don C Des Jarlais, Charles F Turner
1Chemical Dependency Institute, Beth Israel Medical Center, New York, NY, USA. jessica.newman@yale.edu
American Journal of Public Health
|January 31, 2002
Summary
Audio-computer assisted self-interviewing (audio-CASI) increased reporting of stigmatized behaviors, while face-to-face interviews yielded more reports of psychological distress. Understanding participant motivation is key for sensitive data collection.
Area of Science:
- Social Sciences
- Public Health
- Psychology
Background:
- Self-report data collection methods significantly influence participant responses.
- Understanding the impact of different interview modes on sensitive topics is crucial for accurate data.
- Previous research has not fully explored the differential effects of face-to-face versus audio-CASI on specific question categories.
Purpose of the Study:
- To compare the effectiveness of face-to-face interviews and audio-computer assisted self-interviewing (audio-CASI) in eliciting responses across different question types.
- To investigate how interview modality affects reporting of stigmatized behaviors, neutral behaviors, and psychological distress.
- To inform best practices in survey methodology for sensitive populations.
Main Methods:
- A study involving 1417 participants from syringe exchange programs.
- Participants completed questionnaires using either face-to-face interviews or audio-CASI.
- Questionnaire items were categorized into "stigmatized behaviors," "neutral behaviors," and "psychological distress" for comparative analysis.
Main Results:
- Audio-CASI resulted in higher reporting rates for "stigmatized behaviors" compared to face-to-face interviews.
- Face-to-face interviews led to more frequent reporting of "psychological distress" than audio-CASI.
- No significant difference was observed for "neutral behaviors" between the two interview modes.
Conclusions:
- The choice of interview mode critically impacts the reporting of sensitive information.
- Participant motivations for responding, such as social respect and altruism, influence data accuracy.
- Future research and data collection protocols should consider these complex motivations to optimize self-report data quality.