Nathan Dieckmann, Ph.D.

Nathan Dieckman

Statistician & Decision Scientist
Assistant Professor
Oregon Health & Science University
School of Nursing
3455 SW US Veterans Hospital Road
Portland, OR 97239
Phone: 503 494-2843


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Check out Dr. Dieckmann's CV

Dr. Dieckmann leads the Statistical Core in the school of nursing. He provides statistical and research design support to faculty and students and teaches statistical methods. Particular areas of interest include structural equation models, complex (quasi) experimental design, psychometrics, meta-analysis, and big data analytics. Before coming to OHSU, Dr. Dieckmann worked as a statistical consultant in a variety of domains including health, the physical and social sciences, education, and business.

Dr. Dieckmann also conducts basic and applied research in the decision sciences, risk communication, and statistical methodology. His current work is focused on the development of decision aids, risk assessment tools, and methods for the effective presentation of uncertainty in a variety of domains. Other areas of interest include individual differences in numerical ability and how improving cognitive and decision making skills can lead to better health outcomes. Recent work in the area of statistics has focused on the appropriate use of meta-analytic methods in the behavioral sciences.


Dr. Dieckmann received a Ph.D. in Psychology with a focus in the decision sciences and statistical analysis from the University of Oregon. 

Current Research Support

2012-2015 Developing Guidelines to Aid Risk Managers in Communicating Uncertainty.  National Science Foundation (CO-PI).

Selected Publications

Dieckmann, N. F., Peters, E., Baker, D., Leon, J., Benavides, M., Norris, A. (2015). The role of objective numeracy and fluid intelligence in sex-related protective behaviors. Current HIV Research (Thematic Issue): Improving risk communication about sexually transmitted diseases, 13(5), 337-346.

Weller, J. A., Dieckmann, N. F., Tusler, M., Mertz, C.K, Burns, W. J. & Peters, E. (2013). Development and Testing of an Abbreviated Numeracy Scale: A Rasch Analysis Approach. Journal of Behavioral Decision Making, 26, 198-212

Dieckmann, N. F., Peters, E., Gregory, R., & Tusler, M. (2012). Making sense of uncertainty: Advantages and disadvantages of providing an evaluative structure. Journal of Risk Research, 15(7), 717-735.

Gregory, R., Dieckmann, N. F., Peters, E., Failing, L., Long, G., & Tusler, M. (2012). Deliberative disjunction: Expert and public understanding of outcome uncertainty. Risk Analysis, 32(12), 2071-83.

Peters, E., Baker, D., Dieckmann, N. F., Leon, J., Collins, J. (2010). Explaining the Effect of Education on Health: A field study in Ghana. Psychological Science, 21(10), 1369-1376.

Dieckmann, N. F., Mauro, R., & Slovic, P. (2010). The effects of presenting imprecise probabilities in intelligence forecasts. Risk Analysis, 30(6), 987-1001.

Reyna, V. F., Nelson, W., Han, P., & Dieckmann, N. F. (2009). How numeracy influences risk reduction and medical decision making. Psychological Bulletin, 135(6), 943-973.

Dieckmann, N. F., Slovic, P., & Peters, E. (2009). The use of narrative evidence and explicit likelihood by decision makers varying in numeracy. Risk Analysis, 29(10), 1473-1488.

Dieckmann, N. F., Malle, B. F. & Bodner, T. E. (2009). An empirical assessment of meta-analytic practice. Review of General Psychology, Special Issue: Methodological Problems in Psychology, 13(2), 101-115.

Peters, E, Dieckmann, N.F., Dixon, A., Slovic, P., Mertz, C.K.& Hibbard, J. H (2007). Less is more in presenting quality information to consumers. Medical Care Research and Review, 64(2), 169-190.