What is he best known for?
The fields of study he is best known for:
- Statistics
- Psychometrics
- Psychiatry
Steven P. Reise mainly focuses on Psychometrics, Item response theory, Social psychology, Cognitive psychology and Structural equation modeling.
His research integrates issues of Psychiatry, Psychological testing and Personality in his study of Psychometrics.
His Item response theory research includes elements of Computerized adaptive testing and Risk analysis.
He works mostly in the field of Computerized adaptive testing, limiting it down to topics relating to Differential item functioning and, in certain cases, Cognition and Psychological Theory, as a part of the same area of interest.
His Social psychology research focuses on subjects like Factor structure, which are linked to Factor analysis, Categorical variable and Curse of dimensionality.
Steven P. Reise connects Cognitive psychology with Trait in his research.
His most cited work include:
- Item response theory for psychologists (2603 citations)
- The Rediscovery of Bifactor Measurement Models (1037 citations)
- Confirmatory factor analysis and item response theory : two approaches for exploring measurement invariance (940 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Item response theory, Psychometrics, Clinical psychology, Statistics and Econometrics.
His Item response theory research is multidisciplinary, incorporating elements of Computerized adaptive testing, Cognitive psychology and Social psychology.
Steven P. Reise focuses mostly in the field of Psychometrics, narrowing it down to matters related to Personality and, in some cases, Personality test.
His work deals with themes such as Schizophrenia, Psychiatry, Depression and Anxiety, which intersect with Clinical psychology.
His work on Structural equation modeling, Curse of dimensionality and Reliability as part of his general Statistics study is frequently connected to Variance, thereby bridging the divide between different branches of science.
His Econometrics study combines topics from a wide range of disciplines, such as Goodness of fit, Polytomous Rasch model and Set.
He most often published in these fields:
- Item response theory (42.22%)
- Psychometrics (34.07%)
- Clinical psychology (20.74%)
What were the highlights of his more recent work (between 2014-2021)?
- Clinical psychology (20.74%)
- Item response theory (42.22%)
- Psychometrics (34.07%)
In recent papers he was focusing on the following fields of study:
Steven P. Reise spends much of his time researching Clinical psychology, Item response theory, Psychometrics, Developmental psychology and Econometrics.
His study in Clinical psychology is interdisciplinary in nature, drawing from both Schizophrenia, Neurocognitive, Cognition, Social cognition and Anxiety.
His work in the fields of Item response theory, such as Differential item functioning, overlaps with other areas such as Information system.
His Psychometrics study improves the overall literature in Statistics.
Steven P. Reise works mostly in the field of Econometrics, limiting it down to concerns involving Applied mathematics and, occasionally, Bayesian information criterion, Mathematical proof and Orthogonalization.
His Psychological testing research focuses on Mental health and how it relates to Test validity.
Between 2014 and 2021, his most popular works were:
- Evaluating bifactor models: Calculating and interpreting statistical indices. (444 citations)
- Applying Bifactor Statistical Indices in the Evaluation of Psychological Measures. (290 citations)
- Psychometric Properties of the Penn Computerized Neurocognitive Battery (156 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Psychiatry
- Cognition
His primary scientific interests are in Econometrics, Statistics, Psychopathology, Psychometrics and Reliability.
In his study, Mathematical proof, Bayesian information criterion, Orthogonalization and Estimation theory is inextricably linked to Applied mathematics, which falls within the broad field of Econometrics.
His work in the fields of Statistics, such as Structural equation modeling, Multidimensional scaling and Least squares, intersects with other areas such as Scale and Weighting.
His study looks at the intersection of Psychopathology and topics like Functional neuroimaging with Social cognition and Clinical psychology.
His Psychometrics study incorporates themes from Scale development and Latent trait.
His Reliability study combines topics in areas such as Schizophrenia, Verbal reasoning, Hostility and Blame.
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