What is he best known for?
The fields of study he is best known for:
- Statistics
- Social science
- Artificial intelligence
His scientific interests lie mostly in Item response theory, Econometrics, Rasch model, Social psychology and Statistics.
His Item response theory research includes elements of Cognitive development, Reliability, Outcome and Construct.
His work deals with themes such as Multilevel model, Theoretical computer science, Multinomial logistic regression, Item generation and Polytomous Rasch model, which intersect with Econometrics.
His Rasch model research is multidisciplinary, incorporating perspectives in Applied psychology and Psychometrics.
His Social psychology study incorporates themes from Test, Environmental education, Conservation behavior and Agency.
In the subject of general Statistics, his work in Regression analysis, Range, Errors-in-variables models and Test theory is often linked to Verbal aggression, thereby combining diverse domains of study.
His most cited work include:
- Constructing Measures : An Item Response Modeling Approach (670 citations)
- The Multidimensional Random Coefficients Multinomial Logit Model (664 citations)
- Explanatory item response models : a generalized linear and nonlinear approach (518 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Item response theory, Rasch model, Mathematics education, Econometrics and Polytomous Rasch model.
His Item response theory study integrates concerns from other disciplines, such as Construct, Cognitive psychology, Social psychology and Psychometrics.
The study incorporates disciplines such as Educational measurement, Cognition and Artificial intelligence in addition to Rasch model.
His Mathematics education research integrates issues from Literacy and Curriculum.
His study in Multinomial logistic regression extends to Econometrics with its themes.
His Polytomous Rasch model study is concerned with Statistics in general.
He most often published in these fields:
- Item response theory (21.15%)
- Rasch model (16.99%)
- Mathematics education (12.82%)
What were the highlights of his more recent work (between 2017-2021)?
- Item response theory (21.15%)
- Rasch model (16.99%)
- Mathematics education (12.82%)
In recent papers he was focusing on the following fields of study:
Mark Wilson spends much of his time researching Item response theory, Rasch model, Mathematics education, Quality and Artificial intelligence.
Mark Wilson combines Item response theory and Religious diversity in his studies.
His Rasch model study combines topics in areas such as Nonverbal communication, Cognitive psychology, Polytomous Rasch model and Item analysis.
His work deals with themes such as Multivariate statistics, Design matrix and Econometrics, which intersect with Polytomous Rasch model.
His work in the fields of Mathematics education, such as Educational assessment, overlaps with other areas such as Scientific disciplines.
The concepts of his Quality study are interwoven with issues in Psychological testing, Psychosocial, Reliability engineering, Construct and Sample.
Between 2017 and 2021, his most popular works were:
- Making Measurement Important for Education: The Crucial Role of Classroom Assessment. (18 citations)
- Making Measurement Important for Education: The Crucial Role of Classroom Assessment. (18 citations)
- Psychometric Evaluation of an Instrument to Measure Prospective Pregnancy Preferences: The Desire to Avoid Pregnancy Scale. (13 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Social science
- Artificial intelligence
His primary areas of investigation include Mathematics education, Item response theory, Educational assessment, Curriculum and Evaluation methods.
Mark Wilson combines subjects such as Test bias, Reading skills, Reading comprehension, Reading and Construct with his study of Mathematics education.
His Item response theory research incorporates themes from Multidimensional scaling, Rasch model, Data mining and Item analysis.
His Educational assessment research is multidisciplinary, incorporating elements of Technology integration, Literacy and Social network.
As part of his studies on Curriculum, Mark Wilson frequently links adjacent subjects like Conceptualization.
A majority of his Evaluation methods research is a blend of other scientific areas, such as Research literature, Coherence, Statistical reasoning, Learning theory and Presidential address.
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