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Published on: August 8, 2019
Comparison of 3 data collection methods for gathering sensitive and less sensitive information.
Jeongeun Kim1, Howard Dubowitz, Elizabeth Hudson-Martin
1Department of Pediatrics, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA. jekim0@msn.com
Audio computer-assisted self-interviews (ACASI) are optimal for collecting sensitive data, showing higher disclosure rates than paper questionnaires. Face-to-face interviews were intermediate, with no significant differences for less sensitive information.
Area of Science:
- Psychology
- Public Health
- Clinical Research
Background:
- Gathering sensitive data on child abuse, substance use, and intimate partner violence (IPV) requires methods minimizing socially desirable responses.
- Optimal data collection is crucial for both research and clinical applications.
Purpose of the Study:
- To compare the effectiveness of three data collection methods: face-to-face interviews, paper and pencil questionnaires, and audio computer-assisted self-interviews (ACASI).
- To identify the optimal method for reducing socially desirable responses when collecting sensitive personal information.
Main Methods:
- 514 parents of preschoolers (0-5 years) attending a pediatric clinic completed a psychosocial screening questionnaire (PSQ).
- Participants used one of three methods: paper and pencil, face-to-face interview, or ACASI.
Main Results:
- ACASI showed the highest rates of reporting sensitive issues like social isolation and parental stress.
- Face-to-face interviews yielded intermediate results, while paper questionnaires showed lower disclosure rates for sensitive topics.
- No significant differences were found between the methods for neutral, less sensitive items.
Conclusions:
- ACASI facilitates greater disclosure of sensitive information compared to paper and pencil methods.
- In a research setting, ACASI and face-to-face interviews showed similar disclosure rates for sensitive data.
- All three methods were comparable for collecting data on less sensitive topics.
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