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Related Experiment Videos

Lifestyle surveys--the complete answer?

R Dengler1, H Roberts, L Rushton

  • 1Department of Public Health Medicine and Epidemiology, University Hospital, Queen's Medical Centre, Nottingham.

Journal of Epidemiology and Community Health
|February 1, 1997
PubMed
Summary

Item non-response in postal surveys affects data interpretation. Factors like age and socioeconomic status influence completion rates, with specific question types showing higher non-response. Understanding these patterns aids survey design.

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Area of Science:

  • Survey methodology
  • Data quality assessment
  • Social science research

Background:

  • Self-completion questionnaires are prone to item non-response, impacting data reliability.
  • Understanding item non-response is crucial for accurate interpretation of survey findings.

Purpose of the Study:

  • To investigate item non-response in a postal survey.
  • To identify characteristics of individuals with high item non-response.
  • To determine question types associated with high item non-response rates.

Main Methods:

  • Analysis of item non-response patterns in 12,307 survey responders.
  • Wave analysis of questionnaire return times.
  • Multiple regression analysis using the logarithm of completed questions.

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Main Results:

  • Overall questionnaire completion rates ranged from 83% to 86%.
  • Respondents failed to complete a mean of 15% of questions.
  • Item non-response correlated with gender, age, socioeconomic status, and health.

Conclusions:

  • Item non-response can introduce bias in population postal surveys.
  • Data quality remains consistent across multiple reminders.
  • Respondent characteristics and question design present challenges to reducing item non-response.