Format

Send to

Choose Destination
See comment in PubMed Commons below
Am Psychol. 2006 Jan;61(1):27-41.

Arbitrary metrics in psychology.

Author information

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

Abstract

Many psychological tests have arbitrary metrics but are appropriate for testing psychological theories. Metric arbitrariness is a concern, however, when researchers wish to draw inferences about the true, absolute standing of a group or individual on the latent psychological dimension being measured. The authors illustrate this in the context of 2 case studies in which psychologists need to develop inventories with nonarbitrary metrics. One example comes from social psychology, where researchers have begun using the Implicit Association Test to provide the lay public with feedback about their "hidden biases" via popular Internet Web pages. The other example comes from clinical psychology, where researchers often wish to evaluate the real-world importance of interventions. As the authors show, both pursuits require researchers to conduct formal research that makes their metrics nonarbitrary by linking test scores to meaningful real-world events.

PMID:
16435974
DOI:
10.1037/0003-066X.61.1.27
[Indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for American Psychological Association
    Loading ...
    Support Center