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Methods For Testing Discriminant Validity


  • Adriana ZAIT
  • Patricea Elena BERTEA

    (University “A. I. Cuza”, Iasi, Romania)


The study presents three methods which can be used to assess discriminant validity for multi-item scales. Q-sorting is presented as a method that can be used in early stages of research, being more exploratory, while the chi-square difference test and the average variance extracted analysis are recommended for the confirmatory stages of research. The paper describes briefly the three methods and presents evidence from two surveys that aimed to develop a scale for measuring perceived risk in e-commerce.

Suggested Citation

  • Adriana ZAIT & Patricea Elena BERTEA, 2011. "Methods For Testing Discriminant Validity," Management and Marketing Journal, University of Craiova, Faculty of Economics and Business Administration, vol. 0(2), pages 217-224, November.
  • Handle: RePEc:aio:manmar:v:ix:y:2011:i:2:p:217-224

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    References listed on IDEAS

    1. Á. Herrero Crespo & I. Rodríguez del Bosque & M. M. García de los Salmones Sánchez, 2009. "The influence of perceived risk on Internet shopping behavior: a multidimensional perspective," Journal of Risk Research, Taylor & Francis Journals, vol. 12(2), pages 259-277, March.
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    Cited by:

    1. Ceri Wilson & Jenny Secker, 2015. "Validation of the Social Inclusion Scale with Students," Social Inclusion, Cogitatio Press, vol. 3(4), pages 52-62.
    2. repec:ibn:ibrjnl:v:10:y:2017:i:8:p:11-30 is not listed on IDEAS

    More about this item


    validity; discriminant validity; Q-sorting; confirmatory factorial analysis;

    JEL classification:

    • M30 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - General
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management


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