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Evaluating reliability of combined responses through latent class models

Author

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  • Marcello D’Orazio

    (Italian National Institute of Statistics)

Abstract

The evaluation of the potential impact of the response errors on the final survey estimates requires ad hoc studies. Often these studies consist in additional reinterview surveys: a subsample of the respondent units at the main survey is interviewed again. In such cases, the evaluation can be done by means of the theory introduced by Hansen et al.(1964) and further investigated in Biemer and Forsman (1992). More recent studies (Biemer, 2004) present an approach based on the fitting of latent class models. These models allow for a more detailed analysis of the impact of response errors on the final survey estimates but, on the other hand, they require some additional assumptions to hold. In this paper, the usage of latent class models is extended to tackle the case of couples of survey questions involved in a questionnaire skip. An application of such models to the data of the control survey on the 2001 Population and Housing Census in presented.

Suggested Citation

  • Marcello D’Orazio, 2010. "Evaluating reliability of combined responses through latent class models," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 12(1), pages 6-16, April.
  • Handle: RePEc:isa:journl:v:12:y:2010:i:1:p:6-16
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    References listed on IDEAS

    as
    1. Guan-Hua Huang & Karen Bandeen-Roche, 2004. "Building an identifiable latent class model with covariate effects on underlying and measured variables," Psychometrika, Springer;The Psychometric Society, vol. 69(1), pages 5-32, March.
    2. Patterson B.H. & Dayton C.M. & Graubard B.I., 2002. "Latent Class Analysis of Complex Sample Survey Data: Application to Dietary Data," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 721-741, September.
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    More about this item

    Keywords

    Response Errors; Simple Response Variance; Latent Class Models; Questionnaire Skip;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

    Statistics

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