What is he best known for?
The fields of study he is best known for:
- Statistics
- Social psychology
- Artificial intelligence
His primary areas of investigation include Social psychology, Observational error, Job performance, Goal orientation and Statistics.
Richard P. DeShon works mostly in the field of Social psychology, limiting it down to topics relating to Psychometrics and, in certain cases, Test, Personnel selection, Achievement test and Test validity, as a part of the same area of interest.
The various areas that he examines in his Job performance study include Path analysis, Organizational commitment, Affect and Organisation climate.
His work carried out in the field of Goal orientation brings together such families of science as Action theory, Management science, Employee motivation and Conceptualization.
In general Statistics, his work in Inter-rater reliability, Validity and Generalizability theory is often linked to Between-group design and Metric linking many areas of study.
Richard P. DeShon applies his multidisciplinary studies on Between-group design and Meta-analysis in his research.
His most cited work include:
- Combining effect size estimates in meta-analysis with repeated measures and independent-groups designs. (1616 citations)
- A Motivated Action Theory Account of Goal Orientation. (503 citations)
- Climate perceptions matter: a meta-analytic path analysis relating molar climate, cognitive and affective states, and individual level work outcomes. (479 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Social psychology, Econometrics, Statistics, Cognitive psychology and Goal setting.
His Social psychology research is multidisciplinary, incorporating elements of Psychometrics and Perception.
Richard P. DeShon has included themes like Test, Test validity and Personality in his Psychometrics study.
His study in Econometrics is interdisciplinary in nature, drawing from both Regression analysis, Multilevel model, Estimation theory and Spurious relationship.
His work on Regression, Homogeneity and F-test as part of general Statistics study is frequently linked to Meta-analysis and Performance appraisal, therefore connecting diverse disciplines of science.
His Goal setting research is multidisciplinary, incorporating elements of Confirmatory factor analysis, Task analysis and Goal orientation.
He most often published in these fields:
- Social psychology (32.31%)
- Econometrics (21.54%)
- Statistics (16.92%)
What were the highlights of his more recent work (between 2013-2021)?
- Social psychology (32.31%)
- Cognitive psychology (10.77%)
- Perspective (6.15%)
In recent papers he was focusing on the following fields of study:
Richard P. DeShon mainly investigates Social psychology, Cognitive psychology, Perspective, Test and Psychological intervention.
His work carried out in the field of Social psychology brings together such families of science as Group competition and Construct validity.
His work deals with themes such as Critical mass, Phenomenon, Simple Features and Resolution, which intersect with Cognitive psychology.
Period, History of psychology, Applied psychology, Futures contract and Historical Article are fields of study that intersect with his Perspective research.
Test is a subfield of Statistics that Richard P. DeShon investigates.
His study on Psychological intervention is intertwined with other disciplines of science such as Organizational performance, Integrative complexity, Quality, Competition and Social dilemma.
Between 2013 and 2021, his most popular works were:
- Twilight of dawn or of evening? A century of research methods in the Journal of Applied Psychology. (34 citations)
- A stress and coping framework for understanding resident responses to tourism development (25 citations)
- Special Considerations for the Acquisition and Wrangling of Big Data (13 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Social psychology
- Artificial intelligence
Data wrangling, Data science, Big data, Data acquisition and Nomothetic and idiographic are his primary areas of study.
His research on Data wrangling often connects related areas such as Nomothetic.
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