What is he best known for?
The fields of study he is best known for:
- Statistics
- Education
- Cognition
His primary areas of study are Mathematics education, Clinical psychology, Social psychology, Academic achievement and Cognitive psychology.
His Mathematics education study which covers Educational measurement that intersects with Learning disability, Projective test, Item analysis and Educational assessment.
Victor L. Willson combines subjects such as Wechsler Adult Intelligence Scale, Test, Test validity and Psychiatry with his study of Clinical psychology.
His Social psychology research includes themes of Structural equation modeling and School psychology.
His Academic achievement research is multidisciplinary, incorporating elements of Demography, Grade level, Science education and Correlation.
The Cognitive psychology study which covers Cognition that intersects with Comprehension, Reading comprehension, Phonemic awareness and Psychometrics.
His most cited work include:
- Further Support for the Developmental Significance of the Quality of the Teacher–Student Relationship (345 citations)
- Critical Measurement Issues in Learning Disabilities (302 citations)
- An empirical investigation of the relationships between service quality, satisfaction and behavioral intentions among visitors to a wildlife refuge. (290 citations)
What are the main themes of his work throughout his whole career to date?
Victor L. Willson mostly deals with Mathematics education, Statistics, Developmental psychology, Test and Social psychology.
Victor L. Willson has included themes like Pedagogy and Reading comprehension, Reading in his Mathematics education study.
His biological study spans a wide range of topics, including Correlation and Econometrics.
His Developmental psychology study combines topics in areas such as Kaufman Assessment Battery for Children, Cognition and Intelligence quotient.
His Social psychology study frequently draws parallels with other fields, such as Applied psychology.
His study looks at the relationship between Regression analysis and topics such as Multilevel model, which overlap with Structural equation modeling.
He most often published in these fields:
- Mathematics education (25.00%)
- Statistics (25.00%)
- Developmental psychology (17.07%)
What were the highlights of his more recent work (between 2014-2020)?
- Statistics (25.00%)
- Variables (4.27%)
- Mathematics education (25.00%)
In recent papers he was focusing on the following fields of study:
Statistics, Variables, Mathematics education, Reading and Analysis of variance are his primary areas of study.
His study on Multilevel model, Intraclass correlation and Monte Carlo method is often connected to Interval as part of broader study in Statistics.
He studied Multilevel model and Goodness of fit that intersect with Structural equation modeling.
His Variables research integrates issues from Regression analysis, Recall, Explained variation and Linear regression.
Mathematics education is often connected to Turkish in his work.
In his study, Applied psychology is inextricably linked to Social psychology, which falls within the broad field of Confirmatory factor analysis.
Between 2014 and 2020, his most popular works were:
- Interrater Agreement Between Visual Analysts of Single-Case Data A Meta-Analysis (53 citations)
- A profile of profiles: A meta-analysis of the nomological net of commitment profiles. (26 citations)
- Exploring the Relationship Between High School Students’ Physics-Related Personal Epistemologies and Self-regulated Learning in Turkey (11 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Education
- Cognition
Victor L. Willson spends much of his time researching Mathematics education, Test, Statistics, Social psychology and Reading.
His Mathematics education research includes elements of Turkish and Goal orientation.
His studies in Test integrate themes in fields like Population mean, Sample, Repeated measures design and Standard deviation.
His work on Multilevel model, Monte Carlo method, Goodness of fit and Intraclass correlation as part of general Statistics research is frequently linked to Cutoff, thereby connecting diverse disciplines of science.
Social psychology is closely attributed to Value in his work.
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