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Testing the Comparability of Different Types of Social Indicators Across Groups

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  • Willem E. Saris

    (Universitat Pompeu Fabra)

  • André Pirralha

    (Universitat Pompeu Fabra)

  • Diana Zavala-Rojas

    (Universitat Pompeu Fabra)

Abstract

The social indicator movement has realized a considerable increase in importance during the last 50 years. This happened not the least by the publications in the journal Social Indicators Research. Social indicators have been developed for many aspects of life. The scores on these indicators often are compared through time and across groups. An essential requirement for such research is that the measures used are comparable through time and across groups. The comparability through time is not such a big problem but the comparability of measures across groups is not so obvious. This requires harmonization of indicators based on objective variables and invariance testing for indicators based on subjective and objective variables. In this paper we discuss how the comparability of different types of social indicators based on subjective and objective variables can be tested using invariance testing. This is a relevant issue because the existing testing procedure is designed for only one type of social indicators and this test is not directly applicable on the other types of social indicators.

Suggested Citation

  • Willem E. Saris & André Pirralha & Diana Zavala-Rojas, 2018. "Testing the Comparability of Different Types of Social Indicators Across Groups," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(3), pages 927-939, February.
    • Handle: RePEc:spr:soinre:v:135:y:2018:i:3:d:10.1007_s11205-016-1506-z
    DOI: 10.1007/s11205-016-1506-z
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    1. repec:cup:apsrev:v:98:y:2004:i:01:p:191-207_00 is not listed on IDEAS
    2. Adcock, Robert & Collier, David, 2001. "Measurement Validity: A Shared Standard for Qualitative and Quantitative Research," American Political Science Review, Cambridge University Press, vol. 95(3), pages 529-546, September.
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    4. Steenkamp, Jan-Benedict E M & Baumgartner, Hans, 1998. "Assessing Measurement Invariance in Cross-National Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(1), pages 78-90, June.
    5. William Meredith, 1993. "Measurement invariance, factor analysis and factorial invariance," Psychometrika, Springer;The Psychometric Society, vol. 58(4), pages 525-543, December.
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    Cited by:

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