title: Determinants of non-response in an occupational exposure and health survey in New Zealand.
abstract: OBJECTIVE
  Study the determinants of non-response and the potential for non-response bias in a New Zealand survey of occupational exposures and health.
  
  
  METHODS
  A random sample of 10,000 New Zealanders aged 20-64 years were invited by mail to take part in a telephone survey. Multiple logistic regression was used to study the determinants of non-response. Whether occupational exposure, lifestyle and health indicators were associated with non-response was studied by standardising their prevalence towards the demographic distribution of the source population, and comparing early with late responders.
  
  
  RESULTS
  The response rate was 37%. Younger age, Māori descent, highest and lowest deprivation groups and being a student, unemployed, or retired were determinants of non-contact. Refusal was associated with older age and being a housewife. Prevalence of key survey variables were unchanged after standardising to the demographic distribution of the source population.
  
  
  CONCLUSIONS
  Following up the non-responders to the mailed invitations with telephone calls more than doubled the response rate and improved the representativeness of the sample. Although the response rate was low, we found no evidence of major non-response bias.
  
  
  CONCLUSIONS
  Judgement regarding the validity of a survey should not be based on its response rate.
authors.affiliation: Centre for Public Health Research, Massey University, Wellington, New Zealand. a.mannetje@massey.ac.nz
authors.forename: Andrea 't
authors.initials: A'
authors.lastname: Mannetje
authors.forename: Amanda
authors.initials: A
authors.lastname: Eng
authors.forename: Jeroen
authors.initials: J
authors.lastname: Douwes
authors.forename: Lis
authors.initials: L
authors.lastname: Ellison-Loschmann
authors.forename: David
authors.initials: D
authors.lastname: McLean
authors.forename: Neil
authors.initials: N
authors.lastname: Pearce
mesh_terms: D000328:Adult; D015982:Bias; D003625:Data Collection / Q000706:statistics & numerical data*; D005260:Female; D006306:Health Surveys; D006801:Humans; D008019:Life Style; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009520:New Zealand / Q000453:epidemiology; D016273:Occupational Exposure / Q000706:statistics & numerical data*; D011177:Postal Service; D015995:Prevalence; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires; D055815:Young Adult