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Understanding Unbiased Dimensions: The Use of Repertory-Grid Methodology

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  • C J Palmer

    (School of Geography, University of Manchester, Manchester M13 9PL, England)

Abstract

The unbiased nature of the dimensions derived from multidimensional scaling poses a problem of interpretation. Subjective labelling by the researcher assumes that his judgments correspond to those of the respondents and is unsatisfactory. Identification of the dimensions needs to be based upon information gathered from the respondents themselves and in terms of the manner by which they were originally construed. Such information can be derived from the use of the repertory-grid test, which, like multidimensional scaling, requires subjects to make judgments of similarity between objects. The repertory-grid test also provides verbal labels for the distinctions that are made. A principal-components analysis of the repertory-grid data provides a number of components which are shown to be equivalent to the dimensions derived from multidimensional scaling. The use of component scores that relate to the verbal labels allows the dimensions to be identified in terms of the evaluations and perceptions of the respondents.

Suggested Citation

  • C J Palmer, 1978. "Understanding Unbiased Dimensions: The Use of Repertory-Grid Methodology," Environment and Planning A, , vol. 10(10), pages 1137-1150, October.
    • Handle: RePEc:sae:envira:v:10:y:1978:i:10:p:1137-1150
    DOI: 10.1068/a101137
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    References listed on IDEAS

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    1. Henry Kaiser, 1958. "The varimax criterion for analytic rotation in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 23(3), pages 187-200, September.
    2. J. Kruskal, 1964. "Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis," Psychometrika, Springer;The Psychometric Society, vol. 29(1), pages 1-27, March.
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    Cited by:

    1. Pike, Steven, 2012. "Destination positioning opportunities using personal values: Elicited through the Repertory Test with Laddering Analysis," Tourism Management, Elsevier, vol. 33(1), pages 100-107.

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