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On the Imputation of Missing Data in Surveys with Likert-Type Scales

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  • Maurizio Carpita
  • Marica Manisera

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Suggested Citation

  • Maurizio Carpita & Marica Manisera, 2011. "On the Imputation of Missing Data in Surveys with Likert-Type Scales," Journal of Classification, Springer;The Classification Society, vol. 28(1), pages 93-112, April.
  • Handle: RePEc:spr:jclass:v:28:y:2011:i:1:p:93-112
    DOI: 10.1007/s00357-011-9074-z
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    References listed on IDEAS

    as
    1. Mark Huisman, 2000. "Imputation of Missing Item Responses: Some Simple Techniques," Quality & Quantity: International Journal of Methodology, Springer, vol. 34(4), pages 331-351, November.
    2. David Andrich, 1978. "A rating formulation for ordered response categories," Psychometrika, Springer;The Psychometric Society, vol. 43(4), pages 561-573, December.
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    Cited by:

    1. Jiwei Zhang & Zhaoyuan Zhang & Jian Tao, 2021. "A Bayesian algorithm based on auxiliary variables for estimating GRM with non-ignorable missing data," Computational Statistics, Springer, vol. 36(4), pages 2643-2669, December.
    2. Isabella Sulis & Mariano Porcu, 2017. "Handling Missing Data in Item Response Theory. Assessing the Accuracy of a Multiple Imputation Procedure Based on Latent Class Analysis," Journal of Classification, Springer;The Classification Society, vol. 34(2), pages 327-359, July.
    3. Maurizio Carpita & Silvia Golia, 2012. "Measuring the quality of work: the case of the Italian social cooperatives," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(6), pages 1659-1685, October.

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