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Survey Follow-Up in Randomized Trials With Dual Long- and Short-Form Instruments
1Great Falls Statistics, Potomac, MD, USA.
Evaluation Review
|January 23, 2026
Summary
A new survey method boosts response rates in human services evaluations by offering a shorter instrument. However, this approach may not significantly reduce nonresponse bias, though it can reveal outcome differences within study arms.
Area of Science:
- Social Sciences
- Program Evaluation
- Survey Methodology
Background:
- Human services program evaluations frequently use surveys for outcome data collection in randomized controlled trials.
- Low survey response rates, especially in control groups, hinder evaluations from meeting high evidence quality standards set by clearinghouses.
- Traditional methods for boosting response rates are costly and time-consuming, with limited impact on reducing nonresponse bias.
Purpose of the Study:
- To introduce and evaluate a novel approach for increasing survey response rates in human services program evaluations.
- To assess the effectiveness of a shortened data collection instrument for reluctant respondents.
- To determine if the new method reduces nonresponse bias and impacts outcome data.
Main Methods:
- A new survey method was implemented, allowing respondents to complete a shortened version of the data collection instrument.
- The study compared the effectiveness of this new method against traditional approaches for boosting response rates.
- Analysis focused on response rates, cost-effectiveness, and the extent of nonresponse bias reduction.
Main Results:
- The new method successfully increased survey response rates and was more cost-effective than traditional methods.
- Data from reluctant respondents using the shortened instrument likely did not substantially reduce nonresponse bias on program impacts.
- However, the method identified significant differences in outcome means within study arms, valuable for descriptive purposes.
Conclusions:
- While the new method enhances response rates and reduces costs, its ability to mitigate nonresponse bias in impact evaluations is questionable.
- The findings align with previous research suggesting that aggressive pursuit of high response rates may yield diminishing returns regarding bias reduction.
- The method's utility in identifying within-study arm outcome differences makes it potentially useful for descriptive survey research.
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