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Methods For Testing Discriminant Validity

Author

Listed:
  • Adriana ZAIT
  • Patricea Elena BERTEA

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

Abstract

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
    as

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    File URL: http://manmar.ucv.ro/Arhiva%20articole/2011/Volume%20IX%2C%20issue%202-2011/4_Zait_Bertea_FFF.pdf
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    References listed on IDEAS

    as
    1. Patricea Elena BERTEA, 2010. "Scales For Measuring Perceived Risk In E-Commerce - Testing Influences On Reliability," Management and Marketing Journal, University of Craiova, Faculty of Economics and Business Administration, vol. 0(S1), pages 81-92, June.
    2. Segars, A. H., 1997. "Assessing the unidimensionality of measurement: a paradigm and illustration within the context of information systems research," Omega, Elsevier, vol. 25(1), pages 107-121, February.
    3. 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.
    Full references (including those not matched with items on IDEAS)

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    Keywords

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    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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