Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis AB Costello, JW Osborne Practical Assessment, Research & Evaluation 10 (7), 1-9, 2005 | 16326* | 2005 |
Best practices in quantitative methods JW Osborne Sage Publications, Inc, 2008 | 2881* | 2008 |
Four Assumptions Of Multiple Regression That Researchers Should Always Test JW Osborne, E Waters Practical Assessment, Research, and Evaulation 8 (2), 1-5, 2002 | 2871* | 2002 |
Best Practices in Exploratory Factor Analysis JW Osborne CreateSpace Independent Publishing Platform, 2014 | 2131* | 2014 |
The power of outliers (and why researchers should always check for them) JW Osborne, A Overbay Practical assessment, research & evaluation 9 (6), 1-12, 2004 | 1675* | 2004 |
Improving your data transformations: Applying the Box-Cox transformation JW Osborne Practical Assessment, Research & Evaluation 15 (12), 2, 2010 | 1375 | 2010 |
Sample size and subject to item ratio in principal components analysis JW Osborne, AB Costello Practical Assessment, Research & Evaluation 9 (11), 8, 2004 | 1367* | 2004 |
Best practices in data cleaning: A complete guide to everything you need to do before and after collecting your data JW Osborne Sage publications, 2012 | 1043* | 2012 |
Notes on the use of data transformations J Osborne Practical assessment, research, and evaluation 8 (1), 2002 | 1020 | 2002 |
Race and academic disidentification. JW Osborne Journal of Educational Psychology 89 (4), 728, 1997 | 796 | 1997 |
Is inquiry possible in light of accountability?: A quantitative comparison of the relative effectiveness of guided inquiry and verification laboratory instruction MR Blanchard, SA Southerland, JW Osborne, VD Sampson, LA Annetta, ... Science education 94 (4), 577-616, 2010 | 672 | 2010 |
What is rotating in exploratory factor analysis? JW Osborne Practical Assessment, Research, and Evaluation 20 (1), 2015 | 620 | 2015 |
Testing stereotype threat: Does anxiety explain race and sex differences in achievement? JW Osborne Contemporary Educational Psychology 26 (3), 291-310, 2001 | 598 | 2001 |
Advantages of hierarchical linear modeling JW Osborne Practical Assessment, Research & Evaluation 7 (1), 1-3, 2000 | 564* | 2000 |
Academics, self-esteem, and race: A look at the underlying assumptions of the disidentification hypothesis JW Osborne Personality and Social Psychology Bulletin 21 (5), 449, 1995 | 491 | 1995 |
Best practices in logistic regression JW Osborne Sage Publications, 2014 | 481 | 2014 |
The development of the STEM career interest survey (STEM-CIS) MW Kier, MR Blanchard, JW Osborne, JL Albert Research in Science Education 44, 461-481, 2014 | 476 | 2014 |
Metacognitive monitoring accuracy and student performance in the postsecondary classroom JL Nietfeld, L Cao, JW Osborne The Journal of Experimental Educational, 7-28, 2005 | 464 | 2005 |
Replication analysis in exploratory factor analysis: What it is and why it makes your analysis better JW Osborne, DC Fitzpatrick Practical Assessment, Research & Evaluation 17 (15), 1-8, 2012 | 387* | 2012 |
Stereotype threat, identification with academics, and withdrawal from school: Why the most successful students of colour might be most likely to withdraw JW Osborne, C Walker Educational Psychology 26 (4), 563-577, 2006 | 382 | 2006 |