# Responsive Design for Efficient Survey Data Collection: An Education Program

> **NIH NIH R25** · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 2020 · $115,479

## Abstract

PROJECT SUMMARY
 Advanced data collection methods create the means for science to progress. Unfortunately, important
findings in the nascent field of survey methodology, which dedicates itself to improving the science of survey
data collection, have been largely isolated from many substantive fields, including the social, behavioral, and
health sciences. Even though these disciplines stand to prosper from important advances in the field of survey
methodology, researchers collecting survey data in these fields generally do not have any exposure to these
advances. This knowledge gap can be decreased by providing researchers in many areas of scientific inquiry
with exposure to the recent methodological advances in survey methodology so that their scientific data
collections can benefit from improved efficiency and data quality. Especially important are new survey
methodologies that have been labeled “responsive survey design,” which were developed in response to
growing uncertainty about the impacts of various survey design features on survey costs and errors.
Responsive survey designs allow investigators to dynamically respond to rapidly evolving field data collections,
maximizing the scientific gain possible within fixed budget constraints.
 The proposed research education program aims to break down barriers between researchers in the
health, behavioral, and social sciences and survey methodology by exposing these researchers to the newest
literature on state-of-the-art survey data collection techniques and engaging them with hands-on examples of
easy-to-use methods. The proposed research education program has the following four specific aims:
 1. Provide survey researchers worldwide in the health, behavioral, and social sciences with rigorous
 training in novel scientific approaches to continuously improving the survey data collection process.
 2. Provide participants with online networking tools to continuously exchange ideas, stay aware of state-
 of-the-art developments, and report both successes and implementation difficulties.
 3. Organically measure and adapt to the research education needs of researchers collecting survey data.
 4. Expand the offering of short courses from the program to other locales and online formats that will
 appeal to an even broader international audience of researchers applying survey research methods.

## Key facts

- **NIH application ID:** 9939583
- **Project number:** 5R25HD084385-05
- **Recipient organization:** UNIVERSITY OF MICHIGAN AT ANN ARBOR
- **Principal Investigator:** James R Wagner
- **Activity code:** R25 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $115,479
- **Award type:** 5
- **Project period:** 2016-09-14 → 2021-09-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9939583

## Citation

> US National Institutes of Health, RePORTER application 9939583, Responsive Design for Efficient Survey Data Collection: An Education Program (5R25HD084385-05). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9939583. Licensed CC0.

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