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Philip J. Corr

Bio: Philip J. Corr is an academic researcher from City University London. The author has contributed to research in topics: Personality & Reinforcement sensitivity theory. The author has an hindex of 53, co-authored 231 publications receiving 11225 citations. Previous affiliations of Philip J. Corr include University of East London & City College of New York.


Papers
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Journal ArticleDOI
TL;DR: A picture of the neural systems controlling defense that updates and simplifies Gray's "Neuropsychology of Anxiety" is presented, based on two behavioural dimensions: 'def defensive distance' as defined by the Blanchards and 'defensive direction'.

1,172 citations

Journal ArticleDOI
TL;DR: The value of Gray's general approach to building behavioural theories on the bases of both the conceptual nervous system and the real nervous system is validated in personality, which has long been thought a philosophical mystery rather than a standard problem to be tackled by scientific method.

774 citations

BookDOI
01 Jan 2008
Abstract: 1. Reinforcement Sensitivity Theory (RST): introduction Philip J. Corr 2. The neuropsychology of fear and anxiety: a foundation for Reinforcement Sensitivity Theory Neil McNaughton and Philip J. Corr 3. Animal cognition and human personality Neil McNaughton and Philip J. Corr 4. The behavioural activation system: challenges and opportunities Alan D. Pickering and Luke D. Smillie 5. Reinforcement Sensitivity Theory and personality Philip J. Corr and Neil McNaughton 6. Reinforcement sensitivity scales Rafael Torrubia, Cesar Avila and Xavier Caseras 7. Performance and conditioning studies Cesar Avila and Rafael Torrubia 8. Psychophysiological studies Vilfredo De Pascalis 9. Reinforcement Sensitivity Theory and mood induction studies Rapson Gomez and Andrew Cooper 10. Neuro-imaging and genetics Martin Reuter 11. Reinforcement Sensitivity Theory and psychosomatic medicine Liisa Keltikangas-Jarvinen 12. RST and clinical disorders: anxiety and depression Richard E. Zinbarg and K. Lira Yoon 13. RST and psychopathy: associations between psychopathy and the behavioral activation and inhibition systems John F. Wallace and Joseph P. Newman 14. Behavioural activation and inhibition in social adjustment Gennady G. Knyazev, Glenn D. Wilson and Helena R. Slobodskaya 15. Reinforcement sensitivity in the work-place: BIS/BAS in business Adrian Furnham and Chris Jackson 16. Formal and computational models of Reinforcement Sensitivity Theory Alan D. Pickering 17. Reinforcement Sensitivity Theory: a critique from cognitive science Gerald Matthews 18. The contribution of Reinforcement Sensitivity Theory to personality theory William Revelle.

545 citations

Journal ArticleDOI
TL;DR: In this paper, the authors tested a new perspective on J. A Gray's Reinforcement Sensitivity Theory (RST) which postulates that the behavioural inhibition system and the behavioural approach system (BAS) exert two separate effects on behaviour: (1) facilitatory (BIS−punishment, BAS−reward), and (2) antagonistic(BIS −reward, BAS −punishment).

409 citations


Cited by
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Journal ArticleDOI
TL;DR: Self-Determination Theory (SDT) as mentioned in this paper maintains that an understanding of human motivation requires a consideration of innate psychological needs for competence, autonomy, and relatedness, emphasizing that needs specify the necessary conditions for psychological growth, integrity, and well-being.
Abstract: Self-determination theory (SDT) maintains that an understanding of human motivation requires a consideration of innate psychological needs for competence, autonomy, and relatedness. We discuss the SDT concept of needs as it relates to previous need theories, emphasizing that needs specify the necessary conditions for psychological growth, integrity, and well-being. This concept of needs leads to the hypotheses that different regulatory processes underlying goal pursuits are differentially associated with effective functioning and well-being and also that different goal contents have different relations to the quality of behavior and mental health, specifically because different regulatory processes and different goal contents are associated with differing degrees of need satisfaction. Social contexts and individual differences that support satisfaction of the basic needs facilitate natural growth processes including intrinsically motivated behavior and integration of extrinsic motivations, whereas those that forestall autonomy, competence, or relatedness are associated with poorer motivation, performance, and well-being. We also discuss the relation of the psychological needs to cultural values, evolutionary processes, and other contemporary motivation theories.

20,832 citations

01 Jan 2016
TL;DR: The using multivariate statistics is universally compatible with any devices to read, allowing you to get the most less latency time to download any of the authors' books like this one.
Abstract: Thank you for downloading using multivariate statistics. As you may know, people have look hundreds times for their favorite novels like this using multivariate statistics, but end up in infectious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they juggled with some harmful bugs inside their laptop. using multivariate statistics is available in our digital library an online access to it is set as public so you can download it instantly. Our books collection saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the using multivariate statistics is universally compatible with any devices to read.

14,604 citations

Journal ArticleDOI
TL;DR: The authors end the chapter with a discussion of how to integrate theories of self-regulation and expectancy-value models of motivation and suggest new directions for future research.
Abstract: ▪ Abstract This chapter reviews the recent research on motivation, beliefs, values, and goals, focusing on developmental and educational psychology. The authors divide the chapter into four major sections: theories focused on expectancies for success (self-efficacy theory and control theory), theories focused on task value (theories focused on intrinsic motivation, self-determination, flow, interest, and goals), theories that integrate expectancies and values (attribution theory, the expectancy-value models of Eccles et al., Feather, and Heckhausen, and self-worth theory), and theories integrating motivation and cognition (social cognitive theories of self-regulation and motivation, the work by Winne & Marx, Borkowski et al., Pintrich et al., and theories of motivation and volition). The authors end the chapter with a discussion of how to integrate theories of self-regulation and expectancy-value models of motivation and suggest new directions for future research.

5,444 citations

Journal Article
TL;DR: Prospect Theory led cognitive psychology in a new direction that began to uncover other human biases in thinking that are probably not learned but are part of the authors' brain’s wiring.
Abstract: In 1974 an article appeared in Science magazine with the dry-sounding title “Judgment Under Uncertainty: Heuristics and Biases” by a pair of psychologists who were not well known outside their discipline of decision theory. In it Amos Tversky and Daniel Kahneman introduced the world to Prospect Theory, which mapped out how humans actually behave when faced with decisions about gains and losses, in contrast to how economists assumed that people behave. Prospect Theory turned Economics on its head by demonstrating through a series of ingenious experiments that people are much more concerned with losses than they are with gains, and that framing a choice from one perspective or the other will result in decisions that are exactly the opposite of each other, even if the outcomes are monetarily the same. Prospect Theory led cognitive psychology in a new direction that began to uncover other human biases in thinking that are probably not learned but are part of our brain’s wiring.

4,351 citations