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Jason W. Osborne, Miami University
Jason W. Osborne, Miami University
Provost and Executive Vice President (2019-22), Professor of Statistics, Miami (Ohio)
Verifierad e-postadress på miamioh.edu - Startsida
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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
16470*2005
Best practices in quantitative methods
JW Osborne
Sage Publications, Inc, 2008
2897*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
2890*2002
Best Practices in Exploratory Factor Analysis
JW Osborne
CreateSpace Independent Publishing Platform, 2014
2146*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
1695*2004
Improving your data transformations: Applying the Box-Cox transformation
JW Osborne
Practical Assessment, Research & Evaluation 15 (12), 2, 2010
13872010
Sample size and subject to item ratio in principal components analysis
JW Osborne, AB Costello
Practical Assessment, Research & Evaluation 9 (11), 8, 2004
1383*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
1058*2012
Notes on the use of data transformations
J Osborne
Practical assessment, research, and evaluation 8 (1), 2002
10252002
Race and academic disidentification.
JW Osborne
Journal of Educational Psychology 89 (4), 728, 1997
7991997
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
6742010
What is rotating in exploratory factor analysis?
JW Osborne
Practical Assessment, Research, and Evaluation 20 (1), 2015
6362015
Testing stereotype threat: Does anxiety explain race and sex differences in achievement?
JW Osborne
Contemporary Educational Psychology 26 (3), 291-310, 2001
6002001
Advantages of hierarchical linear modeling
JW Osborne
Practical Assessment, Research & Evaluation 7 (1), 1-3, 2000
567*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
4911995
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
4832014
Best practices in logistic regression
JW Osborne
Sage Publications, 2014
4832014
Metacognitive monitoring accuracy and student performance in the postsecondary classroom
JL Nietfeld, L Cao, JW Osborne
The Journal of Experimental Educational, 7-28, 2005
4692005
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
390*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
3832006
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Artiklar 1–20