Literature DB >> 26424490

The problem with categorical thinking by psychologists.

Michael E Young1.   

Abstract

Continua abound in the natural world, but the treatment of these continua in the psychological study of behavior is often categorical. Four practices and their consequences are considered: limited sampling of a continuum, turning continuous predictors into categories through dichotomization and similar practices, treating continuous predictors as categorical in an analysis, and overuse of the analysis of variance. Concrete examples illustrate the consequences of these practices. Recommendations to improve the treatment of continua, both in the design and analysis of data, are provided.
Copyright © 2015 Elsevier B.V. All rights reserved.

Keywords:  Categorical; Continuous; Learning; Modeling; Multilevel analysis; Sampling; Statistics

Mesh:

Year:  2015        PMID: 26424490     DOI: 10.1016/j.beproc.2015.09.009

Source DB:  PubMed          Journal:  Behav Processes        ISSN: 0376-6357            Impact factor:   1.777


  11 in total

1.  A Monte Carlo method for comparing generalized estimating equations to conventional statistical techniques for discounting data.

Authors:  Jonathan E Friedel; William B DeHart; Anne M Foreman; Michael E Andrew
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2.  Differential effects of social and novelty enrichment on individual differences in impulsivity and behavioral flexibility.

Authors:  Maya Zhe Wang; Andrew T Marshall; Kimberly Kirkpatrick
Journal:  Behav Brain Res       Date:  2017-03-21       Impact factor: 3.332

3.  Resurrecting the individual in behavioral analysis: Using mixed effects models to address nonsystematic discounting data.

Authors:  Kimberly Kirkpatrick; Andrew T Marshall; Catherine C Steele; Jennifer R Peterson
Journal:  Behav Anal (Wash D C)       Date:  2018-06-18

4.  No evidence for feature binding by pigeons in a change detection task.

Authors:  Olga F Lazareva; Edward A Wasserman
Journal:  Behav Processes       Date:  2015-09-21       Impact factor: 1.777

5.  A model-based test for treatment effects with probabilistic classifications.

Authors:  Daniel R Cavagnaro; Clintin P Davis-Stober
Journal:  Psychol Methods       Date:  2018-05-21

6.  Mixed effects modeling of Morris water maze data revisited: Bayesian censored regression.

Authors:  Michael E Young; Michael R Hoane
Journal:  Learn Behav       Date:  2021-02-22       Impact factor: 1.986

7.  Environmental enrichment and a selective metabotropic glutamate receptor2/3 (mGluR2/3) agonist suppress amphetamine self-administration: Characterizing baseline differences.

Authors:  Erik J Garcia; Mary E Cain
Journal:  Pharmacol Biochem Behav       Date:  2020-03-13       Impact factor: 3.533

8.  Voluntary ethanol consumption during early social isolation and responding for ethanol in adulthood.

Authors:  Thomas Joseph Wukitsch; Emily Kae Reinhardt; Stephen W Kiefer; Mary Eileen Cain
Journal:  Alcohol       Date:  2018-09-18       Impact factor: 2.405

9.  The effects of voluntary adolescent alcohol consumption on alcohol taste reactivity in Long Evans rats.

Authors:  Thomas J Wukitsch; Mary E Cain
Journal:  Psychopharmacology (Berl)       Date:  2021-03-04       Impact factor: 4.415

10.  Sex-specific enhancement of palatability-driven feeding in adolescent rats.

Authors:  Andrew T Marshall; Angela T Liu; Niall P Murphy; Nigel T Maidment; Sean B Ostlund
Journal:  PLoS One       Date:  2017-07-14       Impact factor: 3.240

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