Donna L Coffman

Associate Professor
Epidemiology and Biostatistics
1301 Cecil B. Moore Ave


Dr. Coffman’s research focuses on improving methods for causal inference, specifically for continuous treatments and mediation. She is currently the Principal Investigator of an R01 project sponsored by the National Cancer Institute to develop time-varying mediation analysis and she is an investigator on an R01 project funded by the National Institute on Drug Abuse to develop software tools for estimating causal effects using propensity score weighting. She develops and applies methods for analyzing data from wearable and mobile devices and ecological momentary assessments to inform the development of individualized adaptive interventions and to examine dynamic causal effects. Her substantive research has primarily fallen into three areas: substance abuse prevention and treatment, smoking cessation, and obesity prevention. She received her Ph.D. in Quantitative Psychology from the University of North Carolina, Chapel Hill.


  • PhD, Quantitative Psychology, The University of North Carolina, Chapel Hill
  • MA, Psychological Sciences, James Madison University
  • BS, Psychology, James Madison University

Curriculum Vitae 

Courses Taught




HRPR 5999

Research Experience in Health Professions


EPBI 8012

Multivariable Biostatistics


EPBI 9083

Readings and Conference in Public Health


Selected Publications

  • Xu, S., Coffman, D.L., Liu, B., Xu, Y., He, J., & Niaura, R.S. (2022). Relationships Between E-cigarette Use and Subsequent Cigarette Initiation Among Adolescents in the PATH Study: an Entropy Balancing Propensity Score Analysis. Prev Sci, 23(4), pp. 608-617. United States. doi: 10.1007/s11121-021-01326-4

  • Hiremath, S.V., Karmarkar, A.M., Kumar, A., Coffman, D.L., & Marino, R.J. (2022). Factors associated with post-acute functional status and discharge dispositions in individuals with spinal cord injury. J Spinal Cord Med, 45(1), pp. 126-136. England. doi: 10.1080/10790268.2021.1888023

  • Coffman, D.L., Oliva, I.B., & Forman, E.M. (2021). Does acceptance-based treatment moderate the effect of stress on dietary lapses? Transl Behav Med, 11(12), pp. 2110-2115. England. doi: 10.1093/tbm/ibab078

  • Forman, E.M., Chwyl, C., Berry, M.P., Taylor, L.C., Butryn, M.L., Coffman, D.L., Juarascio, A., & Manasse, S.M. (2021). Evaluating the efficacy of mindfulness and acceptance-based treatment components for weight loss: Protocol for a multiphase optimization strategy trial. Contemp Clin Trials, 110, p. 106573. United States. doi: 10.1016/j.cct.2021.106573

  • Bartel, M.J., Mousa, O.Y., Brahmbhatt, B., Coffman, D.L., Patel, K., Repici, A., Tokar, J.L., Wolfsen, H.C., & Wallace, M.B. (2021). Impact of topical budesonide on prevention of esophageal stricture after mucosal resection. Gastrointest Endosc, 93(6), pp. 1276-1282. United States. doi: 10.1016/j.gie.2020.11.026

  • Ye, Z., Zhu, Y., & Coffman, D.L. (2021). Variable selection for causal mediation analysis using LASSO-based methods. Stat Methods Med Res, 30(6), pp. 1413-1427. England. doi: 10.1177/0962280221997505

  • Pyrooz, D.C., Melde, C., Coffman, D.L., & Meldrum, R.C. (2021). Selection, stability, and spuriousness: Testing Gottfredson and Hirschi's propositions to reinterpret street gangs in self-control perspective*. Criminology, 59(2), pp. 224-253. doi: 10.1111/1745-9125.12268

  • Vegetabile, B.G., Griffin, B.A., Coffman, D.L., Cefalu, M., Robbins, M.W., & McCaffrey, D.F. (2021). Nonparametric Estimation of Population Average Dose-Response Curves using Entropy Balancing Weights for Continuous Exposures. Health Serv Outcomes Res Methodol, 21(1), pp. 69-110. Netherlands. doi: 10.1007/s10742-020-00236-2

  • Liao, Y., Liu, J., Coffman, D.L., & Li, R. (2021). Varying Coefficient Mediation Model and Application to Analysis of Behavioral Economics Data. Journal of Business and Economic Statistics. doi: 10.1080/07350015.2021.1971089

  • Griffin, B.A., Ayer, L., Pane, J., Vegetabile, B., Burgette, L., McCaffrey, D., Coffman, D.L., Cefalu, M., Funk, R., & Godley, M.D. (2020). Expanding outcomes when considering the relative effectiveness of two evidence-based outpatient treatment programs for adolescents. J Subst Abuse Treat, 118, p. 108075. United States. doi: 10.1016/j.jsat.2020.108075

  • Griffin, B.A., Ayer, L., Pane, J., Vegetabile, B., Burgette, L., McCaffrey, D., Coffman, D.L., Cefalu, M., Funk, R., & Godley, M.D. (2020). Corrigendum to "Expanding outcomes when considering the relative effectiveness of two evidence-based outpatient treatment programs for adolescents" [J. Subst. Abuse Treat. 118 (2020) 108075]. J Subst Abuse Treat, 118, p. 108126. United States. doi: 10.1016/j.jsat.2020.108126

  • Coffman, D.L., Zhou, J., & Cai, X. (2020). Comparison of methods for handling covariate missingness in propensity score estimation with a binary exposure. BMC Med Res Methodol, 20(1), p. 168. England. doi: 10.1186/s12874-020-01053-4

  • Dziak, J.J., Coffman, D.L., Lanza, S.T., Li, R., & Jermiin, L.S. (2020). Sensitivity and specificity of information criteria. Brief Bioinform, 21(2), pp. 553-565. England. doi: 10.1093/bib/bbz016

  • Pool, A.C., Coffman, D.L., Sarwer, D.B., LaRose, J.G., & Hart, C.N. (2020). Associations between weight misperception, contextual factors, and weight loss behaviours in young adult men with overweight/obesity. Obes Sci Pract, 6(1), pp. 39-46. United States. doi: 10.1002/osp4.382

  • Coffman, D.L., Cai, X., Li, R., & Leonard, N.R. (2020). Challenges and Opportunities in Collecting and Modeling Ambulatory Electrodermal Activity Data. JMIR Biomed Eng, 5(1). Canada. doi: 10.2196/17106

  • Spaeth, A.M., Hawley, N.L., Raynor, H.A., Jelalian, E., Greer, A., Crouter, S.E., Coffman, D.L., Carskadon, M.A., Owens, J.A., Wing, R.R., & Hart, C.N. (2019). Sleep, energy balance, and meal timing in school-aged children. Sleep Med, 60, pp. 139-144. Netherlands. doi: 10.1016/j.sleep.2019.02.003

  • Cuesta, H.A., Coffman, D.L., Branas, C., & Murphy, H.M. (2019). Using decision trees to understand the influence of individual- and neighborhood-level factors on urban diabetes and asthma. Health Place, 58, p. 102119. England. doi: 10.1016/j.healthplace.2019.04.009

  • Hiremath, S.V., Amiri, A.M., Thapa-Chhetry, B., Snethen, G., Schmidt-Read, M., Ramos-Lamboy, M., Coffman, D.L., & Intille, S.S. (2019). Mobile health-based physical activity intervention for individuals with spinal cord injury in the community: A pilot study. PLoS One, 14(10), p. e0223762. United States. doi: 10.1371/journal.pone.0223762

  • Davison, K.K., Blake, C.E., Kachurak, A., Lumeng, J.C., Coffman, D.L., Miller, A.L., Hughes, S.O., Power, T.G., Vaughn, A.F., Blaine, R.E., Younginer, N., & Fisher, J.O. (2019). Corrigendum to "Development and preliminary validation of the Parenting around SNAcking Questionnaire (P-SNAQ)" Appetite 125 (2018) 323-332. Appetite, 132, p. 282. England. doi: 10.1016/j.appet.2018.09.021

  • Dziak, J.J., Coffman, D.L., Reimherr, M., Petrovich, J., Li, R., Shiffman, S., & Shiyko, M.P. (2019). Scalar-on-function regression for predicting distal outcomes from intensively gathered longitudinal data: Interpretability for applied scientists. Stat Surv, 13, pp. 150-180. United States. doi: 10.1214/19-SS126

  • Hiremath, S.V., Amiri, A.M., Thapa-Chhetry, B., Snethen, G., Schmidt-Read, M., Ramos-Lamboy, M., Coffman, D.L., & Intille, S.S. (2019). Correction: Mobile health-based physical activity intervention for individuals with spinal cord injury in the community: A pilot study. PLoS One, 14(11), p. e0225490. United States. doi: 10.1371/journal.pone.0225490

  • Mennis, J., Mason, M., Coffman, D.L., & Henry, K. (2018). Geographic Imputation of Missing Activity Space Data from Ecological Momentary Assessment (EMA) GPS Positions. Int J Environ Res Public Health, 15(12). Switzerland. doi: 10.3390/ijerph15122740

  • Coffman, D.L., Zhou, J., Cai, X., & Graham, J.W. (2018). Addressing missing data in confounders when estimating propensity scores for continuous exposures. Health Services and Outcomes Research Methodology, 18(4), pp. 265-286. doi: 10.1007/s10742-018-0191-6

  • Lepore, S.J., Collins, B.N., Coffman, D.L., Winickoff, J.P., Nair, U.S., Moughan, B., Bryant-Stephens, T., Taylor, D., Fleece, D., & Godfrey, M. (2018). Kids Safe and Smokefree (KiSS) Multilevel Intervention to Reduce Child Tobacco Smoke Exposure: Long-Term Results of a Randomized Controlled Trial. Int J Environ Res Public Health, 15(6). Switzerland. doi: 10.3390/ijerph15061239

  • Davison, K.K., Blake, C.E., Kachurak, A., Lumeng, J.C., Coffman, D.L., Miller, A.L., Hughes, S.O., Power, T.G., Vaughn, A.F., Blaine, R.E., Younginer, N., & Fisher, J.O. (2018). Development and preliminary validation of the Parenting around SNAcking Questionnaire (P-SNAQ). Appetite, 125, pp. 323-332. England. doi: 10.1016/j.appet.2018.01.035

  • Rhew, I.C., Oesterle, S., Coffman, D., & Hawkins, J.D. (2018). Effects of Exposure to the Communities That Care Prevention System on Youth Problem Behaviors in a Community-Randomized Trial: Employing an Inverse Probability Weighting Approach. Eval Health Prof, 41(2), pp. 270-289. United States. doi: 10.1177/0163278718759397

  • Leonard, N.R., Silverman, M., Sherpa, D.P., Naegle, M.A., Kim, H., Coffman, D.L., & Ferdschneider, M. (2017). Mobile Health Technology Using a Wearable Sensorband for Female College Students With Problem Drinking: An Acceptability and Feasibility Study. JMIR Mhealth Uhealth, 5(7), p. e90. Canada. doi: 10.2196/mhealth.7399

  • Henneberger, A.K., Coffman, D.L., & Gest, S.D. (2017). The Effect of Having Aggressive Friends on Aggressive Behavior in Childhood: Using Propensity Scores to Strengthen Causal Inference. Soc Dev, 26(2), pp. 295-309. England. doi: 10.1111/sode.12186

  • Kugler, K.C., Vasilenko, S.A., Butera, N.M., & Coffman, D.L. (2017). Long-term consequences of early sexual initiation on young adult health: A causal inference approach. J Early Adolesc, 37(5), pp. 662-676. United States. doi: 10.1177/0272431615620666

  • Miller, J.A., Smith, E.A., Coffman, D., Mathews, C., & Wegner, L. (2016). Forced Sexual Experiences and Sexual Situation Self-Efficacy Among South African Youth. J Res Adolesc, 26(4), pp. 673-686. United States. doi: 10.1111/jora.12217

  • Schuler, M.S., Chu, W., & Coffman, D. (2016). Propensity score weighting for a continuous exposure with multilevel data. Health Serv Outcomes Res Methodol, 16(4), pp. 271-292. Netherlands. doi: 10.1007/s10742-016-0157-5

  • Coffman, D.L., Balantekin, K.N., & Savage, J.S. (2016). Using Propensity Score Methods To Assess Causal Effects of Mothers' Dieting Behavior on Daughters' Early Dieting Behavior. Child Obes, 12(5), pp. 334-340. United States. doi: 10.1089/chi.2015.0249

  • Powers, C.J., Bierman, K.L., & Coffman, D.L. (2016). Restrictive educational placements increase adolescent risks for students with early-starting conduct problems. J Child Psychol Psychiatry, 57(8), pp. 899-908. England. doi: 10.1111/jcpp.12487

  • Selya, A.S., Engel-Rebitzer, E., Dierker, L., Stephen, E., Rose, J., Coffman, D.L., & Otis, M. (2016). The Causal Effect of Student Mobility on Standardized Test Performance: A Case Study with Possible Implications for Accountability Mandates within the Elementary and Secondary Education Act. Front Psychol, 7, p. 1096. Switzerland. doi: 10.3389/fpsyg.2016.01096

  • Zhu, Y., Ghosh, D., Coffman, D.L., & Savage, J.S. (2016). Estimating controlled direct effects of restrictivefeeding practices in the 'Early dieting in girls' study. J R Stat Soc Ser C Appl Stat, 65(1), pp. 115-130. England. doi: 10.1111/rssc.12109

  • Scalco, M.D., Trucco, E.M., Coffman, D.L., & Colder, C.R. (2015). Selection and Socialization Effects in Early Adolescent Alcohol Use: A Propensity Score Analysis. J Abnorm Child Psychol, 43(6), pp. 1131-1143. United States. doi: 10.1007/s10802-014-9969-3

  • Coffman, D.L. (2015). Third variables: Scientific meanings and modeling in non-randomized studies. In Routledge International Handbook of Advanced Quantitative Methods in Nursing Research (pp. 238-252).

  • Conroy, D.E., Ram, N., Pincus, A.L., Coffman, D.L., Lorek, A.E., Rebar, A.L., & Roche, M.J. (2015). Daily physical activity and alcohol use across the adult lifespan. Health Psychol, 34(6), pp. 653-660. United States. doi: 10.1037/hea0000157

  • Ghosh, D., Zhu, Y., & Coffman, D.L. (2015). Penalized regression procedures for variable selection in the potential outcomes framework. Stat Med, 34(10), pp. 1645-1658. England. doi: 10.1002/sim.6433

  • Zhu, Y., Coffman, D.L., & Ghosh, D. (2015). A Boosting Algorithm for Estimating Generalized Propensity Scores with Continuous Treatments. J Causal Inference, 3(1), pp. 25-40. Germany. doi: 10.1515/jci-2014-0022

  • Coffman, D.L., Melde, C., & Esbensen, F. (2015). Gang membership and substance use: guilt as a gendered causal pathway. J Exp Criminol, 11(1), pp. 71-95. Netherlands. doi: 10.1007/s11292-014-9220-9

  • Zhu, Y., Schonbach, M., Coffman, D.L., & Williams, J.S. (2015). Variable selection for propensity score estimation via balancing covariates. Epidemiology, 26(2), pp. e14-e15. United States. doi: 10.1097/EDE.0000000000000237

  • Jones, J.A., Hartman, T.J., Klifa, C.S., Coffman, D.L., Mitchell, D.C., Vernarelli, J.A., Snetselaar, L.G., Horn, L.V., Stevens, V.J., Robson, A.M., Himes, J.H., Shepherd, J.A., & Dorgan, J.F. (2015). Dietary energy density is positively associated with breast density among young women. J Acad Nutr Diet, 115(3), pp. 353-359. United States. doi: 10.1016/j.jand.2014.08.015

  • Hook, J.V., Bachmeier, J.D., Coffman, D.L., & Harel, O. (2015). Can we spin straw into gold? An evaluation of immigrant legal status imputation approaches. Demography, 52(1), pp. 329-354. United States. doi: 10.1007/s13524-014-0358-x

  • Kordas, K., Ardoino, G., Coffman, D.L., Queirolo, E.I., Ciccariello, D., Mañay, N., & Ettinger, A.S. (2015). Patterns of exposure to multiple metals and associations with neurodevelopment of preschool children from Montevideo, Uruguay. J Environ Public Health, 2015, p. 493471. United States. doi: 10.1155/2015/493471

  • Ford, D.W., Hartman, T.J., Still, C., Wood, C., Mitchell, D.C., Bailey, R., Smiciklas-Wright, H., Coffman, D.L., & Jensen, G.L. (2014). Diet quality and body mass index are associated with health care resource use in rural older adults. J Acad Nutr Diet, 114(12), pp. 1932-1938. United States. doi: 10.1016/j.jand.2014.02.016

  • Lippold, M.A., Coffman, D.L., & Greenberg, M.T. (2014). Investigating the potential causal relationship between parental knowledge and youth risky behavior: a propensity score analysis. Prev Sci, 15(6), pp. 869-878. United States. doi: 10.1007/s11121-013-0443-1

  • Ford, D.W., Hartman, T.J., Still, C., Wood, C., Mitchell, D., Hsiao, P.Y., Bailey, R., Smiciklas-Wright, H., Coffman, D.L., & Jensen, G.L. (2014). Diet-related practices and BMI are associated with diet quality in older adults. Public Health Nutr, 17(7), pp. 1565-1569. England. doi: 10.1017/S1368980013001729

  • Butera, N.M., Lanza, S.T., & Coffman, D.L. (2014). A framework for estimating causal effects in latent class analysis: is there a causal link between early sex and subsequent profiles of delinquency? Prev Sci, 15(3), pp. 397-407. United States. doi: 10.1007/s11121-013-0417-3

  • Crowley, D.M., Jones, D.E., Coffman, D.L., & Greenberg, M.T. (2014). Can we build an efficient response to the prescription drug abuse epidemic? Assessing the cost effectiveness of universal prevention in the PROSPER trial. Prev Med, 62, pp. 71-77. United States. doi: 10.1016/j.ypmed.2014.01.029

  • Crowley, D.M., Coffman, D.L., Feinberg, M.E., Greenberg, M.T., & Spoth, R.L. (2014). Evaluating the impact of implementation factors on family-based prevention programming: methods for strengthening causal inference. Prev Sci, 15(2), pp. 246-255. United States. doi: 10.1007/s11121-012-0352-8

  • Smith, R.A., Wienke, S., & Coffman, D.L. (2014). Alpha-1 couples: interpersonal and intrapersonal predictors of spousal communication and stress. J Genet Couns, 23(2), pp. 212-220. United States. doi: 10.1007/s10897-013-9639-6

  • Solmeyer, A.R., Feinberg, M.E., Coffman, D.L., & Jones, D.E. (2014). The effects of the family foundations prevention program on coparenting and child adjustment: a mediation analysis. Prev Sci, 15(2), pp. 213-223. United States. doi: 10.1007/s11121-013-0366-x


  • Ford, D.W., Hartman, T.J., Still, C., Wood, C., Mitchell, D.C., Erickson, P., Bailey, R., Smiciklas-Wright, H., Coffman, D.L., & Jensen, G.L. (2014). Body mass index, poor diet quality, and health-related quality of life are associated with mortality in rural older adults. J Nutr Gerontol Geriatr, 33(1), pp. 23-34. United States. doi: 10.1080/21551197.2014.875819

  • Ford, D.W., Jensen, G.L., Still, C., Wood, C., Mitchell, D.C., Erickson, P., Bailey, R., Smiciklas-Wright, H., Coffman, D.L., & Hartman, T.J. (2014). The associations between diet quality, Body Mass Index (BMI) and Health and Activity Limitation Index (HALex) in the Geisinger Rural Aging Study (GRAS). J Nutr Health Aging, 18(2), pp. 167-170. France. doi: 10.1007/s12603-014-0016-4

  • Coffman, D. & Graham, J. (2014). Structural equation modeling with missing data. In R. Hoyle (Ed.), Handbook of Structural Equation Modeling. Guilford Publications.

  • Lanza, S.T., Coffman, D.L., & Xu, S. (2013). Causal Inference in Latent Class Analysis. Struct Equ Modeling, 20(3), pp. 361-383. United States. doi: 10.1080/10705511.2013.797816

  • Lindgren, J.A., Hartman, T.J., Mitchell, D.C., Coffman, D.L., Horn, L.V., & Dorgan, J.F. (2013). Dietary Patterns are Associated with Obesity in Young Women. FASEB JOURNAL, 27. Retrieved from

  • Hsiao, P.Y., Coffman, D.L., Wood, G.C., Mitchell, D.C., Still, C.D., Jensen, G.L., & Hartman, T.J. (2013). Dietary patterns and weight change in older adults (>=) 75 years old: What's the relationship? FASEB JOURNAL, 27. Retrieved from

  • Hsiao, P.Y., Mitchell, D.C., Coffman, D.L., Wood, G.C., Hartman, T.J., Still, C., & Jensen, G.L. (2013). Dietary patterns and relationship to obesity-related health outcomes and mortality in adults 75 years of age or greater. J Nutr Health Aging, 17(6), pp. 566-572. France. doi: 10.1007/s12603-013-0014-y

  • Lindgren, J., Dorgan, J., Savage-Williams, J., Coffman, D., & Hartman, T. (2013). Diet across the Lifespan and the Association with Breast Density in Adulthood. Int J Breast Cancer, 2013, p. 808317. Egypt. doi: 10.1155/2013/808317

  • Hsiao, P.Y., Mitchell, D.C., Coffman, D.L., Allman, R.M., Locher, J.L., Sawyer, P., Jensen, G.L., & Hartman, T.J. (2013). Dietary patterns and diet quality among diverse older adults: the University of Alabama at Birmingham Study of Aging. J Nutr Health Aging, 17(1), pp. 19-25. France. doi: 10.1007/s12603-012-0082-4

  • Coffman, D.L. & Zhong, W. (2012). Assessing mediation using marginal structural models in the presence of confounding and moderation. Psychol Methods, 17(4), pp. 642-664. United States. doi: 10.1037/a0029311

  • Coffman, D.L., Caldwell, L.L., & Smith, E.A. (2012). Introducing the at-risk average causal effect with application to HealthWise South Africa. Prev Sci, 13(4), pp. 437-447. United States. doi: 10.1007/s11121-011-0271-0

  • Coffman, D.L. & Kugler, K.C. (2012). Causal mediation of a human immunodeficiency virus preventive intervention. Nurs Res, 61(3), pp. 224-230. United States. doi: 10.1097/NNR.0b013e318254165c

  • Sharp, E.H., Coffman, D.L., Caldwell, L.L., Smith, E.A., Wegner, L., Vergnani, T., & Mathews, C. (2011). Predicting substance use behavior among South African adolescents: The role of leisure experiences across time. Int J Behav Dev, 35(4), pp. 343-351. England. doi: 10.1177/0165025411404494

  • Coffman, D.L., Smith, E.A., Flisher, A.J., & Caldwell, L.L. (2011). Effects of HealthWise South Africa on condom use self-efficacy. Prev Sci, 12(2), pp. 162-172. United States. doi: 10.1007/s11121-010-0196-z

  • Hsiao, P.Y.L., Mitchell, D.C., Hartman, T.J., Jensen, G.L., Coffman, D.L., Still, C.D., Allman, R.M., & Sawyer, P. (2011). Characterizing dietary patterns in older adults using a novel approach. FASEB JOURNAL, 25. Retrieved from

  • Coffman, D.L. (2011). Estimating Causal Effects in Mediation Analysis using Propensity Scores. Struct Equ Modeling, 18(3), pp. 357-369. United States. doi: 10.1080/10705511.2011.582001

  • Hsiao, P.Y., Jensen, G.L., Hartman, T.J., Mitchell, D.C., Nickols-Richardson, S.M., & Coffman, D.L. (2011). Food intake patterns and body mass index in older adults: a review of the epidemiological evidence. J Nutr Gerontol Geriatr, 30(3), pp. 204-224. United States. doi: 10.1080/21551197.2011.591266

  • Maydeu-Olivares, A., Coffman, D.L., García-Forero, C., & Gallardo-Pujol, D. (2010). Hypothesis testing for coefficient alpha: an SEM approach. Behav Res Methods, 42(2), pp. 618-625. United States. doi: 10.3758/BRM.42.2.618

  • Hsiao, P.Y., Mitchell, D.C., Hartman, T.J., Jensen, G.L., Coffman, D.L., Still, C.D., Allman, R.M., & Sawyer, P. (2010). A comparison of nutrient intakes among older adults with regional and racial differences. FASEB JOURNAL, 24. Retrieved from

  • Coffman, D.L. & Belue, R. (2009). Disparities in Sense of Community: True race differences or differential item functioning? J Community Psychol, 37(5), pp. 547-558. United States. doi: 10.1002/jcop.20312

  • Maydeu-Olivares, A., Kramp, U., García-Forero, C., Gallardo-Pujol, D., & Coffman, D. (2009). The effect of varying the number of response alternatives in rating scales: experimental evidence from intra-individual effects. Behav Res Methods, 41(2), pp. 295-308. United States. doi: 10.3758/BRM.41.2.295

  • Caldwell, L.L., Bradley, S., & Coffman, D. (2009). A person-centered approach to individualizing a school-based universal preventive intervention. Am J Drug Alcohol Abuse, 35(4), pp. 214-219. England. doi: 10.1080/00952990903005932

  • Coffman, D.L., Maydeu-Olivares, A., & Arnau, J. (2008). Asymptotic distribution free interval estimation: For an intraclass correlation coefficient with applications to longitudinal data. Methodology, 4(1), pp. 4-9. doi: 10.1027/1614-2241.4.1.4

  • Coffman, D.L. (2008). Model error in covariance structure models: Some implications for power and Type I error. Methodology (Gott), 4(4), pp. 159-167. United States. doi: 10.1027/1614-2241.4.4.159

  • Coffman, D.L., Patrick, M.E., Palen, L.A., Rhoades, B.L., & Ventura, A.K. (2007). Why do high school seniors drink? Implications for a targeted approach to intervention. Prev Sci, 8(4), pp. 241-248. United States. doi: 10.1007/s11121-007-0078-1

  • Maydeu-Olivares, A., Coffman, D.L., & Hartmann, W.M. (2007). Asymptotically distribution-free (ADF) interval estimation of coefficient alpha (vol 12, pg 157, 2007). PSYCHOLOGICAL METHODS, 12(4), pp. 433-433. doi: 10.1037/1082-989X.12.4.433

  • Maydeu-Olivares, A., Coffman, D.L., & Hartmann, W.M. (2007). Asymptotically distribution-free (ADF) interval estimation of coefficient alpha. Psychol Methods, 12(2), pp. 157-176. United States. doi: 10.1037/1082-989X.12.2.157

  • Maydeu-Olivares, A. & Coffman, D.L. (2006). Random intercept item factor analysis. Psychol Methods, 11(4), pp. 344-362. United States. doi: 10.1037/1082-989X.11.4.344

  • Cai, L.i., Maydeu-Olivares, A., Coffman, D.L., & Thissen, D. (2006). Limited-information goodness-of-fit testing of item response theory models for sparse 2 tables. Br J Math Stat Psychol, 59(Pt 1), pp. 173-194. England. doi: 10.1348/000711005X66419

  • Coffman, D.L. & Millsap, R.E. (2006). Evaluating latent growth curve models using individual fit statistics. Structural Equation Modeling, 13(1), pp. 1-27. doi: 10.1207/s15328007sem1301_1

  • Coffman, D.L. & MacCallum, R.C. (2005). Using Parcels to Convert Path Analysis Models Into Latent Variable Models. Multivariate Behav Res, 40(2), pp. 235-259. United States. doi: 10.1207/s15327906mbr4002_4

  • Coffman, D.L. & Gilligan, T.D. (2002). Social Support, Stress, and Self-Efficacy: Effects on Students' Satisfaction. Journal of College Student Retention Research Theory & Practice, 4(1), pp. 53-66. doi: 10.2190/bv7x-f87x-2mxl-2b3l

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