Literature DB >> 28544860

Behavioral Processes in Long-Lag Intervention Studies.

Dale T Miller1, Jennifer E Dannals1, Julian J Zlatev1.   

Abstract

We argue that psychologists who conduct experiments with long lags between the manipulation and the outcome measure should pay more attention to behavioral processes that intervene between the manipulation and the outcome measure. Neglect of such processes, we contend, stems from psychology's long tradition of short-lag lab experiments where there is little scope for intervening behavioral processes. Studying process in the lab invariably involves studying psychological processes, but in long-lag field experiments it is important to study causally relevant behavioral processes as well as psychological ones. To illustrate the roles that behavioral processes can play in long-lag experiments we examine field experiments motivated by three policy-relevant goals: prejudice reduction, health promotion, and educational achievement. In each of the experiments discussed we identify various behavioral pathways through which the manipulated psychological state could have produced the observed outcome. We argue that if psychologists conducting long-lag interventions posited a theory of change that linked manipulated psychological states to outcomes via behavioral pathways, the result would be richer theory and more practically useful research. Movement in this direction would also permit more opportunities for productive collaborations between psychologists and other social scientists interested in similar social problems.

Entities:  

Keywords:  behavioral mediation; field experiments; interventions; longitudinal studies; theories of change

Mesh:

Year:  2017        PMID: 28544860     DOI: 10.1177/1745691616681645

Source DB:  PubMed          Journal:  Perspect Psychol Sci        ISSN: 1745-6916


  10 in total

Review 1.  Harnessing Wise Interventions to Advance the Potency and Reach of Youth Mental Health Services.

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2.  A meta-analysis of procedures to change implicit measures.

Authors:  Patrick S Forscher; Calvin K Lai; Jordan R Axt; Charles R Ebersole; Michelle Herman; Patricia G Devine; Brian A Nosek
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Review 3.  Why Interventions to Influence Adolescent Behavior Often Fail but Could Succeed.

Authors:  David S Yeager; Ronald E Dahl; Carol S Dweck
Journal:  Perspect Psychol Sci       Date:  2017-12-12

4.  Breaking the prejudice habit: Mechanisms, timecourse, and longevity.

Authors:  Patrick S Forscher; Chelsea Mitamura; Emily L Dix; William T L Cox; Patricia G Devine
Journal:  J Exp Soc Psychol       Date:  2017-05-11

5.  Preventing Smoking Progression in Young Adults: the Concept of Prevescalation.

Authors:  Andrea C Villanti; Raymond S Niaura; David B Abrams; Robin Mermelstein
Journal:  Prev Sci       Date:  2019-04

6.  An online growth mindset intervention in a sample of rural adolescent girls.

Authors:  Jeni L Burnette; Michelle V Russell; Crystal L Hoyt; Kasey Orvidas; Laura Widman
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7.  Psychological affordances help explain where a self-transcendent purpose intervention improves performance.

Authors:  Stephanie L Reeves; Marlone D Henderson; Geoffrey L Cohen; Rebecca R Steingut; Quinn Hirschi; David S Yeager
Journal:  J Pers Soc Psychol       Date:  2020-07-16

Review 8.  Behavioural science is unlikely to change the world without a heterogeneity revolution.

Authors:  Christopher J Bryan; Elizabeth Tipton; David S Yeager
Journal:  Nat Hum Behav       Date:  2021-07-22

9.  Replicator degrees of freedom allow publication of misleading failures to replicate.

Authors:  Christopher J Bryan; David S Yeager; Joseph M O'Brien
Journal:  Proc Natl Acad Sci U S A       Date:  2019-11-25       Impact factor: 11.205

10.  Feeling needed: Effects of a randomized generativity intervention on well-being and inflammation in older women.

Authors:  Mona Moieni; Michael R Irwin; Teresa E Seeman; Theodore F Robles; Matthew D Lieberman; Elizabeth C Breen; Stephanie Okimoto; Clara Lengacher; Jesusa M G Arevalo; Richard Olmstead; Steven W Cole; Naomi I Eisenberger
Journal:  Brain Behav Immun       Date:  2019-11-20       Impact factor: 19.227

  10 in total

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