Arbitrary metrics in psychology.

By Hart Blanton, James Jaccard. American Psychologist, 2006

653 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/0f00482b1274d4c76f881881382f6a14fd885cf8

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In Experimental and Cognitive Psychology

In Sociology and Political Science

Citations in the corpus

The Second Special Issue on Evidence-Based Psychosocial Treatments for Children and Adolescents: A 10-Year Update (2008, background): “Still, we recognize that such metrics may have limited qualitative value (see Blanton & Jaccard, 2006).”
Testing Fit Patterns with Polynomial Regression Models (2015, background): “Given that numerous response biases can selectively affect the numerical zero point of one of the manifest predictor scales, hypothesis tests that are influenced by such simple transformations indeed are questionable (see also Blanton & Jaccard, 2006b).”
Holding on to our functional roots when exploring new intellectual islands: A voyage through implicit cognition research (2012, background): “…variance on priming tasks (see Wentura & Degner, 2010 for a detailed discussion).7 More generally, the absence of a non-arbitrary zero point (Blanton & Jaccard, 2006), ability to exert strategic control over the behavioral effect (Fiedler & Bluemke, 2005) as well as individual differences…”
The existence of implicit bias is beyond reasonable doubt: A refutation of ideological and methodological objections and executive summary of ten studies that no manager should ignore (2009, neutral): “All of these objections have appeared in one form or another in previous publications (e.g., see Arkes & Tetlock, 2004; Blanton & Jaccard, 2006; Karpinski & Hilton, 2001; Mitchell & Tetlock, 2006; Tetlock & Arkes, 2004; Tetlock & Mitchell, 2008), so it would be desirable to obtain closure on these…”
New developments in latent variable panel analyses of longitudinal data (2007, background): “The motivation for this article is to provide a detailed exploration of key issues that apply to panel designs.”
Centering predictor variables in cross-sectional multilevel models: a new look at an old issue. (2007, background): “Psychological constructs are frequently expressed on arbitrary metrics that lack a clearly interpretable or meaningful zero point ( Blanton & Jaccard, 2006 ).”
Scale Coarseness as a Methodological Artifact (2009, background): “Blanton and Jaccard (2006) noted that the use of coarse scales is typical yet problematic in psychology research.”
Getting Explicit About the Implicit (2012, background): “It should be noted that even when they correlate with behavior, implicit measures typically rely on arbitrary metrics inappropriate for individual diagnostic assessment (Blanton & Jaccard, 2006).”
Some Common Myths About Centering Predictor Variables in Moderated Multiple Regression and Polynomial Regression (2012, background): “Indeed, most operationalizations of the constructs in organizational research, and in psychology in general, are arbitrary (Blanton & Jaccard, 2006).”
Male facial masculinity influences attributions of personality and reproductive strategy (2006, background): “Blanton and Jaccard (2006) have recently focused attention on potentially problematic issues with arbitrary metrics in psychological research.”
Women in Science, Technology, Engineering, and Mathematics (STEM): An Investigation of Their Implicit Gender Stereotypes and Stereotypes’ Connectedness to Math Performance (2012, background): “…gender-math IAT indicated that female engineering students did not hold implicit gendermath stereotypes (Greenwald et al. 2006; but see Blanton and Jaccard 2006 for a discussion on the metric meaningfulness of the IAT’s zero value), whereas those for the gender-reasoning IAT showed a significant…”
Implicit Bias, Stereotype Threat, and Women in Philosophy (2013, background): “See, for example, Blanton and Jaccard 2006 .”