Jason W. Osborne

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Best Practices in Exploratory Factor Analysis

Jason W. Osborne, J. Osborne, 2014 .

Best Practices in Using Large, Complex Samples: The Importance of Using Appropriate Weights and Design Effect Compensation.

Jason W. Osborne, J. Osborne, 2011 .

Exploratory Factor Analysis with SAS

Jason W. Osborne, Erin S. Banjanovic, 2016 .

A Practical Guide to Testing Assumptions and Cleaning Data for Logistic Regression

Jason W. Osborne, 2015 .

Modern and Effective Methods of Dealing with Missing Data

Jason W. Osborne, 2015 .

Extended Time Test Accommodation: Directions for Future Research and Practice

Jason W. Osborne, LoriAnn S. Stretch, J. Osborne, 2005 .

Sweating the Small Stuff: Does data cleaning and testing of assumptions really matter in the 21st century?

Jason W. Osborne, 2013 .

Practical Assessment, Research, and Evaluation Practical Assessment, Research, and Evaluation Advantages of Hierarchical Linear Modeling Advantages of Hierarchical Linear Modeling

Jason W. Osborne, J. Osborne, 2022 .

Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis.

Jason W. Osborne, Anna B. Costello, J. Osborne, 2005 .

Relationships among students’ perceptions of a first-year engineering design course and their engineering identification, motivational beliefs, course effort, and academic outcomes

Brett D. Jones, Marie C. Paretti, Holly M. Matusovich, 2014 .

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

Jason W. Osborne, Amy Overbay, J. Osborne, 2004 .

Best Practices in Data Cleaning: A Complete Guide to Everything You Need to Do Before and After Collecting Your Data

Jason W. Osborne, J. Osborne, 2012 .

Bringing balance and technical accuracy to reporting odds ratios and the results of logistic regression analyses

Jason W. Osborne, J. Osborne, 2006 .

Identification with Academics and Violence in Schools

Jason W. Osborne, J. Osborne, 2004 .

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

Jason W. Osborne, J. Osborne, 2001, Contemporary educational psychology.

Sample size and subject to item ratio in principal components analysis. - Practical Assessment, Research & Evaluation

Jason W. Osborne, Anna B. Costello, J. Osborne, 2016 .

Gender, Stereotype Threat, and Anxiety: Psychophysiological and cognitive evidence

Jason W. Osborne, J. Osborne, 2006 .

Linking Stereotype Threat and Anxiety

Jason W. Osborne, J. Osborne, 2007 .

Identification with Academics and Academic Success among Community College Students

Jason W. Osborne, J. Osborne, 1997 .

The effect of distributed monitoring exercises and feedback on performance, monitoring accuracy, and self-efficacy

Li Cao, Jason W. Osborne, John L. Nietfeld, 2006 .

Unraveling Underachievement among African American Boys from an Identification with Academics Perspective

Jason W. Osborne, J. Osborne, 1999 .

Educational Psychology from a Statistician's Perspective: A Review of the Quantitative Quality of Our Field.

Jason W. Osborne, William R. Christianson, Jason S. Gunter, 2001 .

Identification with Academics and Academic Outcomes in Secondary Students.

Jason W. Osborne, J. Osborne, John L. Rausch, 2001 .

Creating Valid Prediction Equations in Multiple Regression Shrinkage, Double Cross–Validation, and Confidence Intervals Around Predictions

Jason W. Osborne, J. Osborne, 2008 .

Sweating the small stuff in educational psychology: how effect size and power reporting failed to change from 1969 to 1999, and what that means for the future of changing practices 1

Jason W. Osborne, J. Osborne, 2008 .

Identification with Academics and Motivation to Achieve in School: How the Structure of the Self Influences Academic Outcomes

Brett D. Jones, Jason W. Osborne, J. Osborne, 2011 .

Bringing balance and technical accuracy to reporting odds ratios and the results of logistic regression analyses

Jason W. Osborne, 2006 .

Metacognitive Monitoring Accuracy and Student Performance in the Postsecondary Classroom.

Li Cao, Jason W. Osborne, John L. Nietfeld, 2005 .

Random Responding from Participants is a Threat to the Validity of Social Science Research Results

Jason W. Osborne, Margaret R. Blanchard, J. Osborne, 2010, Front. Psychology.

What is Authorship, and What Should it Be? A Survey of Prominent Guidelines for Determining Authorship in Scientific Publications.

Jason W. Osborne, J. Osborne, Abigail Holland, 2009 .

Best Practices in Logistic Regression

Jason W. Osborne, J. Osborne, 2014 .

Academics, Self-Esteem, and Race: A Look at the Underlying Assumptions of the Disidentification Hypothesis

Jason W. Osborne, J. Osborne, 1995 .

Challenges for Quantitative Psychology and Measurement in the 21st Century

Jason W. Osborne, J. Osborne, 2010, Front. Psychology.

Best Practices in Data Transformation: The Overlooked Effect of Minimum Values

Jason W. Osborne, J. Osborne, 2008 .

Best Practices in Data Cleaning: How Outliers and “Fringeliers” Can Increase Error Rates and Decrease the Quality and Precision of Your Results

Jason W. Osborne, Jason W. Osborne, Amy Overbay, 2008 .

Multinomial and ordinal logistic regression

Jason W. Osborne, Kristin L. Sainani, J. Osborne, 2021, PM & R : the journal of injury, function, and rehabilitation.

The Development of the STEM Career Interest Survey (STEM-CIS)

Meredith W. Kier, Jason W. Osborne, Margaret R. Blanchard, 2014 .

Effect Sizes and the Disattenuation of Correlation and Regression Coefficients: Lessons from Educational Psychology

Jason W. Osborne, J. Osborne, 2002 .