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Sources of uncertainty in functional measurement methodology

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  • Sergio Cesare Masin

    (University of Padova)

  • Michele Vicovaro

    (University of Padova)

Abstract

Functional measurement methodology is applied in many psychological fields to investigate cognitive operations of information integration that people use in judgment and decision making. It is in principle an effective methodology. However, it relies on multi-subject designs and includes the methods of rating, factorial design, and analysis of variance that may cause difficulties in interpreting findings. This paper examines these difficulties and suggests future research that may overcome them.

Suggested Citation

  • Sergio Cesare Masin & Michele Vicovaro, 2023. "Sources of uncertainty in functional measurement methodology," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1185-1205, April.
    • Handle: RePEc:spr:qualqt:v:57:y:2023:i:2:d:10.1007_s11135-022-01407-8
    DOI: 10.1007/s11135-022-01407-8
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    References listed on IDEAS

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    3. Joeri Hofmans & Etienne Mullet, 2013. "Towards unveiling individual differences in different stages of information processing: a clustering-based approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(1), pages 455-464, January.
    4. van Herk, H. & Poortinga, Y.H. & Verhallen, T.M.M., 2004. "Response styles in rating scales : Evidence of method bias in data from 6 EU countries," Other publications TiSEM c8befc7a-f2f4-44cf-b2fc-b, Tilburg University, School of Economics and Management.
    5. Celia E. Wills & Colleen F. Moore, 1994. "Judgment Processes for Medication Acceptance," Medical Decision Making, , vol. 14(2), pages 137-145, April.
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