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Keeping surveys valid, reliable, and useful: a tutorial.

Michael R Greenberg1, Marc D Weiner

  • 1EJ Bloustein School, Rutgers University, New Brunswick, NJ, USA.

Risk Analysis : an Official Publication of the Society for Risk Analysis
|July 22, 2014
PubMed
Summary
This summary is machine-generated.

This tutorial guides creating reliable survey data from random-digit-dialing (RDD) methods. It addresses declining response rates and various biases to improve risk perception research.

Keywords:
Cooperation ratephone surveysreliabilityresponse ratesample sizesurvey biasesweighting

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Area of Science:

  • Survey methodology
  • Risk analysis
  • Public opinion research

Background:

  • Random-digit-dialing (RDD) surveys are crucial for data collection.
  • Declining response rates in RDD surveys pose a significant challenge.
  • Ensuring data reliability and generalizability is paramount.

Purpose of the Study:

  • To provide guidance on producing reliable and generalizable data from RDD surveys.
  • To explore the impact of declining response rates on survey data.
  • To illustrate key survey design principles using risk analysis examples.

Main Methods:

  • Discusses addressing biases related to question order and response mode.
  • Covers essential elements like sample size, cooperation, and response rates.
  • Explains weighting methodologies and hybrid survey designs.

Main Results:

  • Identifies critical factors influencing data quality in RDD surveys.
  • Highlights the impact of declining response rates and potential mitigation strategies.
  • Compares advantages and disadvantages of Internet and paper survey tools.

Conclusions:

  • Emphasizes the importance of careful survey design for reliable RDD data.
  • Suggests combining different survey methods for longitudinal and complex research questions.
  • Provides a framework for improving risk perception and preference studies.