His primary areas of investigation include Best practice, Exploratory factor analysis, Statistics, Social psychology and Developmental psychology. He conducts interdisciplinary study in the fields of Best practice and Knowledge management through his research. His studies examine the connections between Exploratory factor analysis and genetics, as well as such issues in Applied psychology, with regards to Principal axis factoring.
His work deals with themes such as Econometrics and Subject, which intersect with Statistics. His study looks at the relationship between Social psychology and fields such as Academic achievement, as well as how they intersect with chemical problems. His Developmental psychology research includes themes of Situational ethics, Affect and Anxiety.
Statistics, Best practice, Social psychology, Econometrics and Physical therapy are his primary areas of study. In general Statistics study, his work on Logistic regression, Regression analysis, Regression and Linear regression often relates to the realm of Correlation, thereby connecting several areas of interest. His Best practice research overlaps with other disciplines such as Exploratory factor analysis, Knowledge management and Sample size determination.
His Exploratory factor analysis study combines topics from a wide range of disciplines, such as Applied psychology and Research methodology. Jason W. Osborne works mostly in the field of Social psychology, limiting it down to topics relating to Academic achievement and, in certain cases, Self-esteem, as a part of the same area of interest. In his study, Inference is strongly linked to Outlier, which falls under the umbrella field of Econometrics.
His primary scientific interests are in Statistics, Physical therapy, Neck Disability Index, Logistic regression and Confirmatory factor analysis. Statistics connects with themes related to Econometrics in his study. Many of his research projects under Econometrics are closely connected to Square root with Square root, tying the diverse disciplines of science together.
His Physical therapy research includes elements of Screening questionnaire, Patient satisfaction and Gerontology. In his study, which falls under the umbrella issue of Logistic regression, Logistic model tree and Multinomial logistic regression is strongly linked to Generalised logistic function. His research investigates the connection between Psychometrics and topics such as Social cognitive theory that intersect with problems in Mathematics education.
His primary areas of study are Exploratory factor analysis, Physical therapy, Anxiety, Confirmatory factor analysis and Psychometrics. His study in Exploratory factor analysis is interdisciplinary in nature, drawing from both Applied psychology and Management science. His work on Musculoskeletal pain as part of general Physical therapy study is frequently linked to Neck Disability Index and Neck pain, bridging the gap between disciplines.
The various areas that Jason W. Osborne examines in his Anxiety study include Stereotype threat, Social psychology and Cognition. His studies in Psychometrics integrate themes in fields like Social cognitive theory and Professional development. His Mathematics education research integrates issues from Expectancy theory, Perception, Curriculum and Identification.
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Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis.
Anna B. Costello;Jason Osborne.
Practical Assessment, Research and Evaluation (2005)
Best Practices in Exploratory Factor Analysis: Four Recommendations for Getting the Most from Your Analysis
Jason W. Osborne;Anna B. Costello.
Pan-Pacific Management Review (2009)
The power of outliers (and why researchers should ALWAYS check for them)
Jason W. Osborne;Amy Overbay.
Practical Assessment, Research and Evaluation (2004)
Best Practices in Quantitative Methods
Jason W. Osborne.
(2007)
Improving your data transformations: Applying the Box-Cox transformation
Jason W. Osborne.
Practical Assessment, Research and Evaluation (2010)
Sample size and subject to item ratio in principal components analysis.
Jason W. Osborne;Anna B. Costello.
Practical Assessment, Research and Evaluation (2004)
Notes on the use of data transformations.
Jason W. Osborne.
Practical Assessment, Research and Evaluation (2002)
Race and Academic Disidentification
Jason W. Osborne.
Journal of Educational Psychology (1997)
Best Practices in Exploratory Factor Analysis
Jason W. Osborne.
(2014)
Testing Stereotype Threat: Does Anxiety Explain Race and Sex Differences in Achievement?
Jason W. Osborne.
Contemporary Educational Psychology (2001)
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