Neuroscience of Motivation and Organizational Behavior: Putting the Reinforcement Sensitivity Theory (RST) to Work

Corr, Philip J.; McNaughton, Neil; Wilson, Margaret R.; Hutchison, Ann M.; Burch, Giles St J.; Poropat, Arthur Eugene

doi:10.1108/s0749-742320160000019010

Cited by 8 publications

(9 citation statements)

References 54 publications

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“…High levels of anxiety and anticipation of stressful situations have been linked to reductions in HRV indices including RMSSD (Chalmers et al, 2014 ; Pulopulos et al, 2018 ). This association along with the proposed actions of the RST theory (Corr et al, 2016 ) provides a potential explanation for the negative relationship between FFFS and HRV identified in the second network. To elaborate, high levels of BIS are proposed to be the result of goal conflict, an example of which would be simultaneous triggering of the FFFS (avoidance) and BAS (approach) systems.…”

Section: Discussionmentioning

confidence: 63%

“…One possible explanation for this finding could be that those athletes who reported “Low” FFFS score were less fearful, and may therefore engage in more risk taking behaviours, increasing the probability of injury. The RST theory proposes that higher levels of FFFS increase avoidance motivation (Corr et al, 2016 ), and therefore “High” FFFS may have acted as a deterrent from taking risks while training and competing, reducing exposure to situations that could have resulted in injury. The RST theory further proposes that the combination of high BIS and high FFFS is likely to result in a more anxious disposition due to high levels of avoidance and high goal conflict characterised by high levels of FFFS and BIS (Corr, 2013 ).…”

Section: Discussionmentioning

confidence: 99%

“…To elaborate, high levels of BIS are proposed to be the result of goal conflict, an example of which would be simultaneous triggering of the FFFS (avoidance) and BAS (approach) systems. The goal conflict is likely to elicit a physiological response (e.g., decreased HRV) in preparation to engage in the required behaviour to resolve the goal conflict (Corr et al, 2016 ). In the present study, however, the role of BAS was limited, as evidenced by the initial network structures in which the BAS had limited connectivity with other components of the network.…”

Section: Discussionmentioning

confidence: 99%

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An Interdisciplinary Examination of Stress and Injury Occurrence in Athletes

Fisher¹,

Gittoes²,

Evans³

et al. 2020

Front. Sports Act. Living

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This paper adopts a novel, interdisciplinary approach to explore the relationship between stress-related psychosocial factors, physiological markers and occurrence of injury in athletes using a repeated measures prospective design. At four data collection time-points, across 1-year of a total 2-year data collection period, athletes completed measures of major life events, the reinforcement sensitivity theory personality questionnaire, muscle stiffness, heart rate variability and postural stability, and reported any injuries they had sustained since the last data collection. Two Bayesian networks were used to examine the relationships between variables and model the changes between data collection points in the study. Findings revealed muscle stiffness to have the strongest relationship with injury occurrence, with high levels of stiffness increasing the probability of sustaining an injury. Negative life events did not increase the probability of injury occurrence at any single time-point; however, when examining changes between time points, increases in negative life events did increase the probability of injury. In addition, the combination of increases in negative life events and muscle stiffness resulted in the greatest probability of sustaining an injury. Findings demonstrated the importance of both an interdisciplinary approach and a repeated measures design to furthering our understanding of the relationship between stress-related markers and injury occurrence.

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Section: Discussionmentioning

confidence: 63%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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An Interdisciplinary Examination of Stress and Injury Occurrence in Athletes

Fisher¹,

Gittoes²,

Evans³

et al. 2020

Front. Sports Act. Living

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“…The present data motivate further research on emic and etic issues of (r)RST questionnaires in English-speaking samples. As (r)RST questionnaires have been applied in clinical samples ( Farrell and Walker, 2019 ), forensic samples ( Leue et al, 2008 ; Donahu and Caraballo, 2015 ), and in work settings ( Corr et al, 2017 ), it would be of interest to investigate predictions of the newly validated CMQ-44 and previous (r)RST questionnaires in forensic and clinical settings. In terms of test fairness, future research might address further evidence of measurement equivalence (e.g., for age groups).…”

Section: Discussionmentioning

confidence: 99%

Construct validity of questionnaires for the original and revised reinforcement sensitivity theory

Leue¹,

Reuter

Corr

2022

Front. Psychol.

Self Cite

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This study highlights psychometric properties and evidence of construct validity on parcel-level for questionnaires on the original and revised reinforcement sensitivity theory. Our data (N = 1,076) suggest good to very good psychometric properties and moderate to excellent internal consistencies. Confirmatory factor analysis (CFA) models suggest a very good model fit for the first-order, four factor models of the Carver-White BIS/BAS scales, Reinforcement Sensitivity Theory – Personality Questionnaire (RST-PQ), the two-factor model of revised Reinforcement Sensitivity Theory-Questionnaire (rRST-Q) and for the bifactor model of the Conflict Monitoring Questionnaire (CMQ-44). The CMQ-44 extends the psychometric measurement of previous trait-(r)BIS and trait-BAS scales. Factor scores of CMQ-44 cognitive demand correlate positively with factor scores of Carver-White BIS and all Carver-White BAS subfactors except RST-PQ-Impulsivity suggesting that CMQ-44 cognitive demand addresses Carver-White trait-BIS specifically and more generally the trait-BAS core. CMQ-44 anticipation of negative consequences and response adaptation correlate negatively with trait-BAS, whereas the second-order factor performance monitoring extends the rRST trait-space and correlates positively with trait-BAS.

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“…Reward and punishment sensitivities are considered to be independent of each other, universal, but with fairly enduring individual differences in their relative emphasis ( Corr, 2002 ; Corr et al, 2013 ). Moreover, as people differ also in what they perceive as rewarding or threatening ( Corr, 2013 ), the same stimulus potentially inciting quite differing motivational responses in different individuals (see, Corr et al, 2016 ), current research sees reward sensitivity as separable into dimensions defined by the source of reward. For example, while novelty (e.g., novel situations and social encounters) is often considered an important reward dimension, as some individuals are seen as temperamentally disposed to find it appealing and hence worth approaching, others may, instead, perceive it as threatening and respond with withdrawal or avoidance ( Rothbart and Hwang, 2005 ; Corr and Cooper, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

Temperamental Sensitivities Differentially Linked With Interest, Strain, and Effort Appraisals

2021

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The present research examined the connections between temperament (punishment sensitivity; interindividual reward sensitivity; intraindividual reward sensitivity), students’ domain- and course-specific motivational appraisals (interest, strain, effort), and performance, in two studies. Study 1 explored the relationships between temperamental sensitivities, motivational appraisals, and task achievement among secondary students (N = 268) in the domain of mathematics, using Exploratory Structural Equation Modeling (ESEM) for the analyses. Study 2 was conducted longitudinally among upper-secondary students (N = 155) during a course in four key school subjects. Subject interest was included alongside the temperamental sensitivities as a predictor of course-specific motivation and course grades, and the data were analysed with Partial Least Squares Structural Equation Modeling (PLS-SEM). Previous achievement was controlled in both studies. The findings showed temperamental sensitivities to be differentially linked with motivational appraisals. Punishment sensitivity in Study 1, and interindividual reward sensitivity (sensitivity to reward dependent on others’ approval or attention) in Study 2 were found to have an effect on psychological strain. In both studies, interest and effort were predicted by intraindividual reward sensitivity (positive responsiveness to novelty and own successes). In Study 2, subject interest was a consistent predictor of higher course interest and lower strain. In both studies, connections were found between strain and lower performance. The findings suggest individual characteristics may predispose students to certain motivational experiences, and contribute to educational outcomes, in both domain and course contexts and across subject content.

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Neuroscience of Motivation and Organizational Behavior: Putting the Reinforcement Sensitivity Theory (RST) to Work

Cited by 8 publications

References 54 publications

An Interdisciplinary Examination of Stress and Injury Occurrence in Athletes

An Interdisciplinary Examination of Stress and Injury Occurrence in Athletes

Construct validity of questionnaires for the original and revised reinforcement sensitivity theory

Temperamental Sensitivities Differentially Linked With Interest, Strain, and Effort Appraisals

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