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Disentangling Selection Into Mode From Mode Effects
Colm O'Muircheartaigh1, L Philip Schumm2, Ned English3
1Harris School of Public Policy, University of Chicago, Chicago, Illinois, USA.
Data collection mode had minimal impact on health reporting in the National Social Life, Health, and Aging Project (NSHAP). However, comparing all respondents by mode produced misleading results, highlighting the need for careful analysis of data collection methods.
Area of Science:
- Gerontology
- Survey Methodology
- Sociology
Background:
- The National Social Life, Health, and Aging Project (NSHAP) collects crucial data on aging.
- Data collection modes can influence survey responses.
- Understanding these influences is vital for accurate research.
Purpose of the Study:
- To assess the impact of remote versus in-person data collection on NSHAP Round 4 responses.
- To guide appropriate methods for addressing mode differences in analyses.
Main Methods:
- A randomized experiment compared remote and in-person interviews for a subset of NSHAP respondents.
- Response rates and key outcomes were compared between experimental groups.
- All Round 4 respondents were analyzed based on their final data collection mode.
Main Results:
- No significant differences in physical/mental health or simple recall were found between remote and in-person modes in the randomized experiment.
- In-person interviews showed slightly lower cognitive function scores on specific tasks.
- Remote respondents reported fewer social network members.
- Comparing all respondents by final mode yielded substantially different, potentially misleading, results.
Conclusions:
- Data collection mode did not significantly affect self-reported health in NSHAP.
- Mode moderately impacted other variables, such as social network size and certain cognitive measures.
- Naive comparisons of all respondents by mode are inappropriate for adjusting data and can yield misleading findings.
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