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Switching from Telephone to Web-First Mixed-Mode Data Collection: Results from the Transition into Adulthood
Narayan Sastry1, Katherine A McGonagle1
1University of Michigan.
Summary
Switching to a web-first mixed-mode survey design improved response rates, data quality, and reduced costs compared to telephone-only data collection. This approach also identified respondent characteristics influencing web interview completion.
Area of Science:
- Survey Methodology
- Data Collection Techniques
- Social Science Research
Background:
- Traditional telephone-only data collection can face challenges in response rates and costs.
- Mixed-mode designs offer potential solutions by integrating different survey methods.
- The Transition into Adulthood Supplement (TAS) aimed to optimize data collection for young adults.
Purpose of the Study:
- To evaluate the impact of a web-first mixed-mode design on survey fieldwork outcomes and interview mode.
- To compare mixed-mode data collection with a telephone-only approach regarding response rates, data quality, and costs.
- To identify respondent characteristics associated with choosing a web interview over a telephone interview.
Main Methods:
- A mode experiment was conducted during the 2019 wave of the Transition into Adulthood Supplement (TAS) of the US Panel Study of Income Dynamics (PSID).
- The study compared a web-first mixed-mode design (self-administered web and interviewer-administered telephone) against a telephone-only design.
- Data were collected from approximately 3,000 young adults.
Main Results:
- Mixed-mode data collection resulted in higher response rates compared to telephone-only methods.
- Interviews were completed more quickly and with less effort in the mixed-mode design.
- The mixed-mode approach led to lower fieldwork costs and appeared to improve interview data quality.
Conclusions:
- A web-first mixed-mode data collection design is effective in enhancing survey outcomes, including response rates and data quality, while reducing costs.
- Respondent characteristics, including demographics, socioeconomic status, technology use, and psychological health, influence mode choice.
- This approach offers a viable strategy for improving data collection efficiency and respondent cooperation in longitudinal studies.
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