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The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
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Related Experiment Video

Updated: Oct 9, 2025

A Method for Manipulating Blood Glucose and Measuring Resulting Changes in Cognitive Accessibility of Target Stimuli
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Improving postal survey response using behavioural science: a nested randomised control trial.

Emily McBride1, Hiromi Mase2, Robert S Kerrison3,4

  • 1Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London (UCL), London, UK. e.mcbride@ucl.ac.uk.

BMC Medical Research Methodology
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Summary

Combining behavioral science techniques in invitation letters significantly increased postal survey response rates among women undergoing HPV testing. This pragmatic approach enhances research participation and data collection efficiency.

Keywords:
Behavioural scienceMethodologyPostal responseRCTRecruitmentTrials

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Area of Science:

  • Health Services Research
  • Behavioral Science
  • Public Health

Background:

  • Previous research on increasing postal survey response rates often focused on single techniques.
  • This isolated approach lacks ecological validity as multiple strategies are commonly used in practice.

Purpose of the Study:

  • To evaluate the effectiveness of a combined behavioral science approach in invitation letters to increase survey response rates.
  • To compare a pragmatic combination of techniques against a standard invitation letter.

Main Methods:

  • A two-armed parallel randomized controlled trial (n=2702) was conducted within a cross-sectional health survey.
  • Participants received either a standard invitation letter or one incorporating behavioral science techniques (personalization, social norms).
  • The study involved women testing positive for human papillomavirus (HPV) in England; participants and assessors were blinded.

Main Results:

  • The overall response rate was 23.9% (646 participants).
  • The intervention arm showed a higher response rate (26.4%) compared to the control arm (21.4%).
  • Logistic regression indicated significantly higher odds of response in the intervention group (aOR=1.30, 95% CI: 1.09-1.55), adjusted for covariates.

Conclusions:

  • Implementing combined behavioral science and evidence-based methods in invitation letters effectively improved postal survey response rates.
  • These findings support the practical application of combined techniques to boost participation in postal surveys.
  • The study highlights the value of pragmatic, multi-component strategies in research settings.