The Experts below are selected from a list of 99 Experts worldwide ranked by ideXlab platform
Manfred Schmitt - One of the best experts on this subject based on the ideXlab platform.
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latent state trait theory and Research in Personality and individual differences
European Journal of Personality, 1999Co-Authors: Rolf Steyer, Manfred SchmittAbstract:Latent state–trait (LST) theory is a generalization of classical test theory designed to take account of the fact that psychological measurement does not take place in a situational vacuum. The basic concepts of latent state–trait theory (LST theory) are introduced. The core of LST theory consists of two decompositions: (a) the decomposition of any observed score into latent state and measurement error, and (b) the decomposition of any latent state into latent trait and latent state residual representing situational and/or interaction effects. Latent states and latent traits are defined as special conditional expectations. A score on a latent state variable is defined as the expectation of an observable variable Yik given a person in a situation whereas a score on a latent trait variable is the expectation of Yik given a person. The theory also comprises the definition of consistency, occasion specificity, reliability, and stability coefficients. An overview of different models of LST theory is given. It is shown how different Research questions of Personality psychology can be and have been analysed within the LST framework and why Research in Personality and individual differences can profit from LST theory and methodology. Copyright © 1999 John Wiley & Sons, Ltd.
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Latent state–trait theory and Research in Personality and individual differences
European Journal of Personality, 1999Co-Authors: Rolf Steyer, Manfred SchmittAbstract:Latent state–trait (LST) theory is a generalization of classical test theory designed to take account of the fact that psychological measurement does not take place in a situational vacuum. The basic concepts of latent state–trait theory (LST theory) are introduced. The core of LST theory consists of two decompositions: (a) the decomposition of any observed score into latent state and measurement error, and (b) the decomposition of any latent state into latent trait and latent state residual representing situational and/or interaction effects. Latent states and latent traits are defined as special conditional expectations. A score on a latent state variable is defined as the expectation of an observable variable Yik given a person in a situation whereas a score on a latent trait variable is the expectation of Yik given a person. The theory also comprises the definition of consistency, occasion specificity, reliability, and stability coefficients. An overview of different models of LST theory is given. It is shown how different Research questions of Personality psychology can be and have been analysed within the LST framework and why Research in Personality and individual differences can profit from LST theory and methodology. Copyright © 1999 John Wiley & Sons, Ltd.
Rolf Steyer - One of the best experts on this subject based on the ideXlab platform.
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latent state trait theory and Research in Personality and individual differences
European Journal of Personality, 1999Co-Authors: Rolf Steyer, Manfred SchmittAbstract:Latent state–trait (LST) theory is a generalization of classical test theory designed to take account of the fact that psychological measurement does not take place in a situational vacuum. The basic concepts of latent state–trait theory (LST theory) are introduced. The core of LST theory consists of two decompositions: (a) the decomposition of any observed score into latent state and measurement error, and (b) the decomposition of any latent state into latent trait and latent state residual representing situational and/or interaction effects. Latent states and latent traits are defined as special conditional expectations. A score on a latent state variable is defined as the expectation of an observable variable Yik given a person in a situation whereas a score on a latent trait variable is the expectation of Yik given a person. The theory also comprises the definition of consistency, occasion specificity, reliability, and stability coefficients. An overview of different models of LST theory is given. It is shown how different Research questions of Personality psychology can be and have been analysed within the LST framework and why Research in Personality and individual differences can profit from LST theory and methodology. Copyright © 1999 John Wiley & Sons, Ltd.
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Latent state–trait theory and Research in Personality and individual differences
European Journal of Personality, 1999Co-Authors: Rolf Steyer, Manfred SchmittAbstract:Latent state–trait (LST) theory is a generalization of classical test theory designed to take account of the fact that psychological measurement does not take place in a situational vacuum. The basic concepts of latent state–trait theory (LST theory) are introduced. The core of LST theory consists of two decompositions: (a) the decomposition of any observed score into latent state and measurement error, and (b) the decomposition of any latent state into latent trait and latent state residual representing situational and/or interaction effects. Latent states and latent traits are defined as special conditional expectations. A score on a latent state variable is defined as the expectation of an observable variable Yik given a person in a situation whereas a score on a latent trait variable is the expectation of Yik given a person. The theory also comprises the definition of consistency, occasion specificity, reliability, and stability coefficients. An overview of different models of LST theory is given. It is shown how different Research questions of Personality psychology can be and have been analysed within the LST framework and why Research in Personality and individual differences can profit from LST theory and methodology. Copyright © 1999 John Wiley & Sons, Ltd.
Adam J L Harris - One of the best experts on this subject based on the ideXlab platform.
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what does it mean to be biased motivated reasoning and rationality
PSYCHOLOGY OF LEARNING AND MOTIVATION VOL 61 61 pp. 41-102. (2014), 2014Co-Authors: Ulrike Hahn, Adam J L HarrisAbstract:Abstract in this chapter, we provide a historical overview of Research on bias in human cognition, ranging from early work in psychology through the detailed, quantitative examinations of belief revision in the 1960s, the Heuristic and Biases program initiated by Kahneman and Tversky, and bias focused Research in Personality and social psychology. Different notions of “bias” are identified and compared with the notion of bias in statistics, machine learning, and signal detection theory. Comparison with normative models then forms the basis for a critical look at the evidence that people succumb to motivated reasoning aimed at enabling them “to believe what they want to believe.”
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chapter two what does it mean to be biased motivated reasoning and rationality
Psychology of Learning and Motivation, 2014Co-Authors: Ulrike Hahn, Adam J L HarrisAbstract:in this chapter, we provide a historical overview of Research on bias in human cognition, ranging from early work in psychology through the detailed, quantitative examinations of belief revision in the 1960s, the Heuristic and Biases program initiated by Kahneman and Tversky, and bias focused Research in Personality and social psychology. Different notions of “bias” are identified and compared with the notion of bias in statistics, machine learning, and signal detection theory. Comparison with normative models then forms the basis for a critical look at the evidence that people succumb to motivated reasoning aimed at enabling them “to believe what they want to believe.”
Thomas A Widiger - One of the best experts on this subject based on the ideXlab platform.
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the vibrant intersection of Personality and psychopathology Research a special issue of the journal of Research in Personality
Journal of Research in Personality, 2020Co-Authors: Robert F Krueger, David Watson, Thomas A WidigerAbstract:Abstract Personality and psychopathological variation are closely linked, both conceptually and empirically. in this introduction, we provide a brief overview of a new special issue of the Journal of Research in Personality focused on links between Personality and psychopathology. Contemplating this corpus of work, we conclude that the nexus of Personality and psychopathology constitutes a vibrant and active area of inquiry. Psychopathology Research informed by Personality science has extensive implications not just for the scientific understanding of human individual differences, but also for applied efforts to ameliorate psychological suffering.
Ulrike Hahn - One of the best experts on this subject based on the ideXlab platform.
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what does it mean to be biased motivated reasoning and rationality
PSYCHOLOGY OF LEARNING AND MOTIVATION VOL 61 61 pp. 41-102. (2014), 2014Co-Authors: Ulrike Hahn, Adam J L HarrisAbstract:Abstract in this chapter, we provide a historical overview of Research on bias in human cognition, ranging from early work in psychology through the detailed, quantitative examinations of belief revision in the 1960s, the Heuristic and Biases program initiated by Kahneman and Tversky, and bias focused Research in Personality and social psychology. Different notions of “bias” are identified and compared with the notion of bias in statistics, machine learning, and signal detection theory. Comparison with normative models then forms the basis for a critical look at the evidence that people succumb to motivated reasoning aimed at enabling them “to believe what they want to believe.”
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chapter two what does it mean to be biased motivated reasoning and rationality
Psychology of Learning and Motivation, 2014Co-Authors: Ulrike Hahn, Adam J L HarrisAbstract:in this chapter, we provide a historical overview of Research on bias in human cognition, ranging from early work in psychology through the detailed, quantitative examinations of belief revision in the 1960s, the Heuristic and Biases program initiated by Kahneman and Tversky, and bias focused Research in Personality and social psychology. Different notions of “bias” are identified and compared with the notion of bias in statistics, machine learning, and signal detection theory. Comparison with normative models then forms the basis for a critical look at the evidence that people succumb to motivated reasoning aimed at enabling them “to believe what they want to believe.”
