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Item Similarity in Scale Analysis

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  • Steenbergen, Marco R.

Abstract

A statistic—the similarity coefficient—is developed for assessing the property that a set of scale items measures one and only one construct. This statistic is rooted in an explicit measurement model and is flexible enough to be used in exploratory scale analyses, even in small samples. Methods for analyzing similarity coefficients are described and illustrated in analyses of Stimson's (1991) policy mood data and Markus' (1990) popular individualism items. The Appendix discusses the statistical properties of similarity coefficients.

Suggested Citation

  • Steenbergen, Marco R., 2000. "Item Similarity in Scale Analysis," Political Analysis, Cambridge University Press, vol. 8(3), pages 261-283, March.
    • Handle: RePEc:cup:polals:v:8:y:2000:i:03:p:261-283_00
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    Cited by:

    1. Gal Ariely & Eldad Davidov, 2011. "Can we Rate Public Support for Democracy in a Comparable Way? Cross-National Equivalence of Democratic Attitudes in the World Value Survey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 104(2), pages 271-286, November.
    2. Kevin Yoder & Les Whitbeck & Dan Hoyt, 2008. "Dimensionality of thoughts of death and suicide: evidence from a study of homeless adolescents," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 86(1), pages 83-100, March.
    3. Sedef Turper & Kees Aarts, 2017. "Political Trust and Sophistication: Taking Measurement Seriously," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(1), pages 415-434, January.
    4. Lucía Tiscornia, 2024. "Police reform in the aftermath of armed conflict: How militarization and accountability affect police violence," Journal of Peace Research, Peace Research Institute Oslo, vol. 61(3), pages 383-397, May.
    5. Franke, George R. & Sarstedt, Marko & Danks, Nicholas P., 2021. "Assessing measure congruence in nomological networks," Journal of Business Research, Elsevier, vol. 130(C), pages 318-334.

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