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Home arrow People arrow Donna Coffman, Ph.D.

Donna Coffman, Ph.D.
Research Associate, The Methodology Center

Address:
The Methodology Center
The Pennsylvania State University
204 E. Calder Way, Suite 400
State College, PA 16801

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Telephone:
814-863-9724
Fax: 814-863-0000
Information: Website
PDF
CV
Donna Coffman, Ph.D.
Education:
Ph.D., University of North Carolina, 2005 (Quantitative Psychology)
M.A., James Madison University, 2001 (Psychological Sciences)
B.S., James Madison University, 1999 (Psychology)
Research Interests:
My graduate training focused on assessing model fit of structural equation models, factor analysis models, latent growth curve models, and item response theory models. My postdoctoral training focused on latent class analysis models, generalized linear mixed effects models, and missing data analysis. My current research focuses on causal inferences for mediation processes, which is funded by a NIDA R03 grant.

Methodology Center Research Areas: causal inference
Honors and Awards:

Grants:
Ongoing Support
Causal Inference for Mediation Models in Substance Abuse Prevention Research
04/01/09 – 03/31/11
National Institute on Drug Abuse, National Institutes of Health: 1R03DA026543-01
PI: Donna L. Coffman

Center for Prevention and Treatment Methodology (The Methodology Center)
05/01/97-08/31/10
National Institute on Drug Abuse, National Institutes of Health: P50-DA-10075
PI: Linda M. Collins, Ph.D.

Completed Support
Prevention and Methodology Training Program: Post-doctoral Fellowship
1/1/2006-12/31/2007
National Institute on Drug Abuse, National Institutes of Health: T32-DA-017629
PI: Edward A. Smith, Ph.D.
Publications:
Peer-reviewed Papers

Maydeu-Olivares, A., Kramp, U., Garcia-Forero, C., Coffman, D. L., & Gallardo-Pujol, D. (in press). The effect of varying the number of response alternatives in rating scales: Experimental evidence from intra-individual effects.  Behavior Research Methods.

 

Coffman, D. L., & BeLue, R. (in press). Using item response theory to detect differential item functioning in health disparities research. Journal of Community Psychology.

 

Coffman, D. L.  (2008). Model misspecification in covariance structure models: Some implications for power and Type I error. Methodology, 4(4), 159-167.

 

Coffman, D. L., Maydeu-Olivares, A., & Arnau, J. (2008). Asymptotically distribution-free interval estimation for an intraclass correlation coefficient with applications to longitudinal data. Methodology, 4(1), 4-9.

 

Coffman, D. L., Patrick, M. E., Palen, L., Rhoades, B. L., & Ventura, A. K. (2007). Why do high school seniors drink? Implications for a targeted approach to intervention.  Prevention Science, 8, 241-248.

 

Maydeu-Olivares, A., Coffman, D. L., & Hartmann, W. M. (2007). Asymptotically distribution-free interval estimation for coefficient alpha. Psychological Methods, 12(2), 157-176.

 

Maydeu-Olivares, A., & Coffman, D. L. (2006). Random intercept item factor analysis. Psychological Methods, 11(4), 344-362.

 

Coffman, D. L., & Millsap, R. E. (2006). Evaluating latent growth curve models using individual fit statistics.Structural Equation Modeling, 13(1), 1-27.
Other Publications

Preacher, K. J., & Coffman, D. L. (2006, May). Computing Power and Minimum Sample Size for RMSEA [Computer Software]. Available from http://www.quantpsy.org
Research Links:
 
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