D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Social Sciences and Humanities D-index 35 Citations 26,505 53 World Ranking 2969 National Ranking 1548

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Nursing
  • Social psychology

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.

His most cited work include:

  • Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis. (5411 citations)
  • Best Practices in Exploratory Factor Analysis: Four Recommendations for Getting the Most from Your Analysis (1646 citations)
  • The power of outliers (and why researchers should ALWAYS check for them) (531 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Statistics (22.22%)
  • Best practice (15.56%)
  • Social psychology (14.44%)

What were the highlights of his more recent work (between 2012-2018)?

  • Statistics (22.22%)
  • Physical therapy (10.00%)
  • Neck Disability Index (8.89%)

In recent papers he was focusing on the following fields of study:

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.

Between 2012 and 2018, his most popular works were:

  • Best Practices in Exploratory Factor Analysis (226 citations)
  • The Development of the STEM Career Interest Survey (STEM-CIS) (88 citations)
  • What is Rotating in Exploratory Factor Analysis (81 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Social psychology
  • Nursing

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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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)

12470 Citations

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)

2707 Citations

The power of outliers (and why researchers should ALWAYS check for them)

Jason W. Osborne;Amy Overbay.
Practical Assessment, Research and Evaluation (2004)

1207 Citations

Best Practices in Quantitative Methods

Jason W. Osborne.
(2007)

1143 Citations

Improving your data transformations: Applying the Box-Cox transformation

Jason W. Osborne.
Practical Assessment, Research and Evaluation (2010)

947 Citations

Sample size and subject to item ratio in principal components analysis.

Jason W. Osborne;Anna B. Costello.
Practical Assessment, Research and Evaluation (2004)

924 Citations

Notes on the use of data transformations.

Jason W. Osborne.
Practical Assessment, Research and Evaluation (2002)

847 Citations

Race and Academic Disidentification

Jason W. Osborne.
Journal of Educational Psychology (1997)

704 Citations

Best Practices in Exploratory Factor Analysis

Jason W. Osborne.
(2014)

600 Citations

Testing Stereotype Threat: Does Anxiety Explain Race and Sex Differences in Achievement?

Jason W. Osborne.
Contemporary Educational Psychology (2001)

518 Citations

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