Ken Kelley
Ken Kelley
Sorin Society Professor of IT, Analytics, and Operations, University of Notre Dame, Mendoza College
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Effect size measures for mediation models: Quantitative strategies for communicating indirect effects.
KJ Preacher, K Kelley
Psychological methods 16 (2), 93, 2011
On effect size.
K Kelley, KJ Preacher
Psychological Methods 17 (2), 137, 2012
The effects of perceived corporate social responsibility on employee attitudes
A Glavas, K Kelley
Business Ethics Quarterly, 2014
Sample size planning for statistical power and accuracy in parameter estimation
SE Maxwell, K Kelley, JR Rausch
Annu. Rev. Psychol. 59, 537-563, 2008
Multilevel Modeling Using R
WH Finch, JE Bolin, K Kelley
CRC Press, 2014
Sample Size for Multiple Regression: Obtaining Regression Coefficients That Are Accurate, Not Simply Significant.
K Kelley, SE Maxwell
Psychological Methods 8 (3), 305, 2003
Sample-size planning for more accurate statistical power: A method adjusting sample effect sizes for publication bias and uncertainty
SF Anderson, K Kelley, SE Maxwell
Psychological science 28 (11), 1547-1562, 2017
Social contagion and information technology diffusion: the adoption of electronic medical records in US hospitals
CM Angst, R Agarwal, V Sambamurthy, K Kelley
Management Science 56 (8), 1219-1241, 2010
Infant temperament moderates relations between maternal parenting in early childhood and children’s adjustment in first grade
AD Stright, KC Gallagher, K Kelley
Child Development 79 (1), 186-200, 2008
What I experienced yesterday is who I am today: Relationship of work motivations and behaviors to within-individual variation in the five-factor model of personality.
TA Judge, LS Simon, C Hurst, K Kelley
Journal of Applied Psychology 99 (2), 199, 2014
Analytic methods for questions pertaining to a randomized pretest, posttest, follow-up design
JR Rausch, SE Maxwell, K Kelley
Journal of Clinical Child and Adolescent Psychology 32 (3), 467-486, 2003
Confidence intervals for standardized effect sizes: Theory, application, and implementation
K Kelley
Journal of Statistical Software 20, 1-24, 2007
Fixed effects models versus mixed effects models for clustered data: Reviewing the approaches, disentangling the differences, and making recommendations.
D McNeish, K Kelley
Psychological Methods 24 (1), 20, 2019
Methods for the behavioral, educational, and social sciences: An R package
K Kelley
Behavior Research Methods 39 (4), 979-984, 2007
Confidence intervals for population reliability coefficients: Evaluation of methods, recommendations, and software for composite measures.
K Kelley, S Pornprasertmanit
Psychological Methods 21 (1), 69, 2016
A novel measure of effect size for mediation analysis.
MJ Lachowicz, KJ Preacher, K Kelley
Psychological Methods 23 (2), 244, 2018
When do IT security investments matter? Accounting for the influence of institutional factors in the context of healthcare data breaches
CM Angst, ES Block, J D’Arcy, K Kelley
MIS quarterly 41 (3), 893-A8, 2017
Longitudinal analysis of the relations between opportunities to learn about science and the development of interests related to science
JM Alexander, KE Johnson, K Kelley
Science Education 96 (5), 763-786, 2012
The effects of nonnormal distributions on confidence intervals around the standardized mean difference: Bootstrap and parametric confidence intervals
K Kelley
Educational and Psychological Measurement 65 (1), 51-69, 2005
MBESS: The mbess r package
K Kelley
R package version 4 (3), 2018
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