What is he best known for?
The fields of study he is best known for:
- Statistics
- Social psychology
- Law
His primary areas of investigation include Social psychology, Statistics, Job performance, Econometrics and Personnel selection.
John E. Hunter has researched Social psychology in several fields, including Higher education and Sample size determination.
His biological study spans a wide range of topics, including Experimental Replication and Combinatorics.
His Personnel psychology study in the realm of Job performance connects with subjects such as Work sample.
His Econometrics study integrates concerns from other disciplines, such as Variance and Variables.
The study incorporates disciplines such as Test, Test validity and Employment testing in addition to Personnel selection.
His most cited work include:
- Methods of Meta-Analysis: Correcting Error and Bias in Research Findings (4391 citations)
- The validity and utility of selection methods in personnel psychology: Practical and theoretical implications of 85 years of research findings. (2975 citations)
- Validity and Utility of Alternative Predictors of Job Performance (1775 citations)
What are the main themes of his work throughout his whole career to date?
John E. Hunter mainly focuses on Social psychology, Statistics, Econometrics, Job performance and Test validity.
His Social psychology study combines topics from a wide range of disciplines, such as Test, Test bias and Cognition, Information processing theory.
In the subject of general Statistics, his work in Regression is often linked to Statistical analysis, thereby combining diverse domains of study.
His Job performance research is multidisciplinary, relying on both Applied psychology and Personnel selection.
His Personnel selection research incorporates themes from Actuarial science and Selection.
His work in Test validity addresses issues such as Generalization, which are connected to fields such as Validity.
He most often published in these fields:
- Social psychology (33.51%)
- Statistics (19.59%)
- Econometrics (17.01%)
What were the highlights of his more recent work (between 1994-2017)?
- Social psychology (33.51%)
- Artificial intelligence (6.19%)
- Statistics (19.59%)
In recent papers he was focusing on the following fields of study:
John E. Hunter mainly investigates Social psychology, Artificial intelligence, Statistics, Econometrics and Natural language processing.
His Social psychology research integrates issues from Test and Personnel selection.
His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning, Coding, Validity and Pattern recognition.
His work on Standard error as part of general Statistics research is often related to Yield, thus linking different fields of science.
The various areas that John E. Hunter examines in his Econometrics study include Range and Publication bias.
His Cognition research includes themes of Job performance and Applied psychology.
Between 1994 and 2017, his most popular works were:
- The validity and utility of selection methods in personnel psychology: Practical and theoretical implications of 85 years of research findings. (2975 citations)
- Fixed Effects vs. Random Effects Meta‐Analysis Models: Implications for Cumulative Research Knowledge (519 citations)
- Measurement Error in Psychological Research: Lessons From 26 Research Scenarios (411 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Social psychology
- Law
His main research concerns Social psychology, Econometrics, Statistics, Observational error and Job performance.
His research is interdisciplinary, bridging the disciplines of Intercultural communication and Social psychology.
His studies in Econometrics integrate themes in fields like Preference and Confidence interval.
His research integrates issues of Experimental Replication and Combinatorics in his study of Statistics.
His Job performance research is multidisciplinary, incorporating elements of Range, Predictive validity, Mental ability and Meta analisis.
His Predictive validity study incorporates themes from Job design, Job attitude, Contextual performance, Job shadow and Job satisfaction.
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