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Arbitrary metrics in psychology.

Hart Blanton1, James Jaccard

  • 1Department of PsychologyUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, USA. hblanton@gmail.com

The American Psychologist
|January 27, 2006
PubMed
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Psychological tests often use arbitrary metrics, posing challenges for absolute measurement. Developing nonarbitrary metrics requires linking test scores to real-world events, crucial for accurate psychological assessments.

Area of Science:

  • Psychology
  • Social Psychology
  • Clinical Psychology

Background:

  • Many psychological tests rely on arbitrary metrics, suitable for theory testing but problematic for absolute individual or group standing.
  • Metric arbitrariness becomes a significant concern when precise measurement of latent psychological dimensions is required.

Purpose of the Study:

  • To illustrate the need for nonarbitrary metrics in psychological testing through case studies.
  • To demonstrate how to develop inventories with nonarbitrary metrics for practical applications in psychology.

Main Methods:

  • The study uses two case studies to highlight the challenges of arbitrary metrics in psychological measurement.
  • It emphasizes the necessity of formal research to establish nonarbitrary metrics by connecting test scores to observable outcomes.

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Main Results:

  • The Implicit Association Test (IAT) in social psychology is presented as an example where arbitrary metrics can mislead the public about "hidden biases".
  • In clinical psychology, arbitrary metrics hinder the evaluation of intervention effectiveness and real-world importance.

Conclusions:

  • Developing nonarbitrary metrics is essential for drawing valid inferences about absolute psychological standing.
  • Linking psychological test scores to meaningful real-world events through rigorous research is key to establishing nonarbitrary measurement in both social and clinical psychology.