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New Developments in Latent Structure Analysis Applied to Social Attitudes

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  • L. M. de Menezes
  • D. J. Bartholomew

Abstract

Most analyses based on surveys of social attitudes are limited to the tabulation of response percentages for individual questions and cross‐tabulations. In this paper we use methods which seek to extract more information on the pattern of relationships between variables. These are based on the supposition that expressions of attitudes may be explained by assuming that they depend on a few basic dimensions or categories. It is common for response patterns to be incomplete because of refusals or partial responses. This paper describes and illustrates the latent class and latent trait models used in the analysis and gives the appropriate extensions needed to cope with missing values. It also discusses various methods by which the goodness of fit of the models may be judged.

Suggested Citation

  • L. M. de Menezes & D. J. Bartholomew, 1996. "New Developments in Latent Structure Analysis Applied to Social Attitudes," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 159(2), pages 213-224, March.
    • Handle: RePEc:bla:jorssa:v:159:y:1996:i:2:p:213-224
    DOI: 10.2307/2983169
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    Cited by:

    1. Meldrum, James R., 2015. "Comparing different attitude statements in latent class models of stated preferences for managing an invasive forest pathogen," Ecological Economics, Elsevier, vol. 120(C), pages 13-22.
    2. Stephane Hess & Nesha Beharry-Borg, 2012. "Accounting for Latent Attitudes in Willingness-to-Pay Studies: The Case of Coastal Water Quality Improvements in Tobago," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 52(1), pages 109-131, May.
    3. Morey, Edward & Thiene, Mara & De Salvo, Maria & Signorello, Giovanni, 2008. "Using attitudinal data to identify latent classes that vary in their preference for landscape preservation," Ecological Economics, Elsevier, vol. 68(1-2), pages 536-546, December.
    4. McNicholas, P.D. & Murphy, T.B. & O'Regan, M., 2008. "Standardising the lift of an association rule," Computational Statistics & Data Analysis, Elsevier, vol. 52(10), pages 4712-4721, June.

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