Literature DB >> 2349320

Assessing spurious "moderator effects": Illustrated substantively with the hypothesized ("synergistic") relation between spatial and mathematical ability.

D Lubinski1, L G Humphreys.   

Abstract

The traditional methodology for assessing moderator variables (hierarchical multiple regression analysis) is examined. Possible drawbacks of this technique for corroborating psychological theories (cf. Busemeyer & Jones, 1983), are illustrated empirically on the basis of an analysis of 400,000 subjects. This article tested a well-known (and currently popular) substantive hypothesis: A synergistic relation exists between mathematical ability and spatial visualization in the prediction and development of sophisticated levels of advanced mathematics. Using the traditional methodology, this hypothesis was confirmed; however, on further analysis, using a more systematic approach, it was demonstrated that this finding was spurious. Suggestions are offered for modifying the traditional methodology used for assessing moderator effects (for both applied and theoretical purposes). These amount to ways for minimizing Type I and Type II errors.

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Year:  1990        PMID: 2349320     DOI: 10.1037/0033-2909.107.3.385

Source DB:  PubMed          Journal:  Psychol Bull        ISSN: 0033-2909            Impact factor:   17.737


  24 in total

1.  Specification, testing, and interpretation of gene-by-measured-environment interaction models in the presence of gene-environment correlation.

Authors:  Paul J Rathouz; Carol A Van Hulle; Joseph Lee Rodgers; Irwin D Waldman; Benjamin B Lahey
Journal:  Behav Genet       Date:  2008-02-22       Impact factor: 2.805

2.  Commentary: Fundamental problems with candidate gene-by-environment interaction studies - reflections on Moore and Thoemmes (2016).

Authors:  Richard Border; Matthew C Keller
Journal:  J Child Psychol Psychiatry       Date:  2017-03       Impact factor: 8.982

3.  Gender moderates the health-effects of job strain in managers.

Authors:  M C Gadinger; J E Fischer; S Schneider; D D Terris; K Krückeberg; S Yamamoto; G Frank; W Kromm
Journal:  Int Arch Occup Environ Health       Date:  2009-11-04       Impact factor: 3.015

4.  Self-regulation as a moderator of the relation between coping and symptomatology in children of divorce.

Authors:  L J Lengua; I N Sandler
Journal:  J Abnorm Child Psychol       Date:  1996-12

5.  Assessing Spurious Interaction Effects in Structural Equation Modeling: A Cautionary Note.

Authors:  Jeffrey R Harring; Brandi A Weiss; Ming Li
Journal:  Educ Psychol Meas       Date:  2014-12-30       Impact factor: 2.821

6.  Interactive and Indirect Effects of Anxiety and Negative Urgency on Alcohol-Related Problems.

Authors:  Kyle R Menary; William R Corbin; Robert F Leeman; Lisa M Fucito; Benjamin A Toll; Kelly DeMartini; Stephanie S O'Malley
Journal:  Alcohol Clin Exp Res       Date:  2015-05-29       Impact factor: 3.455

7.  Working memory as a moderator of impulsivity and alcohol involvement: testing the cognitive-motivational theory of alcohol use with prospective and working memory updating data.

Authors:  Jarrod M Ellingson; Kimberly A Fleming; Alvaro Vergés; Bruce D Bartholow; Kenneth J Sher
Journal:  Addict Behav       Date:  2014-01-23       Impact factor: 3.913

8.  Cognitive Predictors of Everyday Problem Solving across the Lifespan.

Authors:  Xi Chen; Christopher Hertzog; Denise C Park
Journal:  Gerontology       Date:  2017-03-09       Impact factor: 5.140

Review 9.  Candidate gene-environment interaction research: reflections and recommendations.

Authors:  Danielle M Dick; Arpana Agrawal; Matthew C Keller; Amy Adkins; Fazil Aliev; Scott Monroe; John K Hewitt; Kenneth S Kendler; Kenneth J Sher
Journal:  Perspect Psychol Sci       Date:  2015-01

10.  A Multivariate Behavior Genetic Investigation of Dual-Systems Models of Alcohol Involvement.

Authors:  Jarrod M Ellingson; Wendy S Slutske; Alvaro Vergés; Andrew K Littlefield; Dixie J Statham; Nicholas G Martin
Journal:  J Stud Alcohol Drugs       Date:  2018-07       Impact factor: 2.582

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