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[Voluntary versus involuntary sample surveys in the microcensus].

G Arminger

    Allgemeines Statistisches Archiv
    |January 1, 1990
    PubMed
    Summary

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    Voluntary surveys may not accurately represent the total population. Non-response bias is evident in German microcensus data, affecting demographic and socioeconomic variables.

    Area of Science:

    • Sociology
    • Statistics
    • Demography

    Background:

    • Voluntary sample surveys may introduce non-response bias.
    • Involuntary surveys, like the German microcensus, sample the entire population.
    • The validity of voluntary surveys depends on respondent data mirroring the total population.

    Purpose of the Study:

    • To compare voluntary and involuntary sample surveys in West Germany.
    • To assess potential non-response bias in voluntary surveys using microcensus data.

    Main Methods:

    • Comparative analysis of data from the German microcensus (1985-1987) and voluntary test sample surveys.
    • Statistical comparison of demographic and socio-economic variables between survey types.

    Main Results:

    Keywords:
    Age FactorsComparative StudiesData AnalysisDemographic FactorsDeveloped CountriesEconomic FactorsEuropeFinancial ActivitiesFinancing, GovernmentGeographic FactorsGermany, Federal Republic OfIncomeMarital StatusMicrocensusNuptialityPopulationPopulation CharacteristicsPopulation StatisticsResearch MethodologyResidence CharacteristicsSampling StudiesSocial SecuritySocioeconomic FactorsSpatial DistributionStudiesWestern Europe

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    • The null hypothesis that respondent populations do not differ from the total population was rejected.
    • Significant discrepancies were found in region, community size, age, marital status, income, and social security.
    • Non-response bias in voluntary surveys was confirmed.

    Conclusions:

    • Voluntary sample surveys may not yield statistically valid inferences for the total population.
    • Involuntary surveys are crucial for accurate demographic and socioeconomic data collection.
    • Non-response bias poses a significant challenge in survey research.