Prof Mike Smithson FASSA

Professor
Deputy Director
Building 39, Room 215
 612 58356

Profile

Qualifications

PhD

Biography

Michael Smithson is the author of Confidence Intervals (2003), Statistics with Confidence (2000), Ignorance and Uncertainty (1989), and Fuzzy Set Analysis for the Behavioral and Social Sciences (1987), co-author of Fuzzy Set Theory: Applications in the Social Sciences (2006) and Generalized Linear Models for Categorical and Limited Dependent Variables (2014), and co-editor of Uncertainty and Risk: Multidisciplinary Perspectives (2008) and Resolving Social Dilemmas: Dynamic, Structural, and Intergroup Aspects (1999). His other publications include more than 140 refereed journal articles and book chapters.

More Details (Information, software resources, etc.)

My Art Website

My blog pages are here and here
 

 

Research

Research interests

Judgment and decision making under uncertainty, statistical methods for the social sciences, and applications of fuzzy set theory to the social sciences.

Grants

2015-2017 ARC Discovery Grant, $80,000 pa: Judgements and Decisions under Ambiguity and Conflict

2012-2014 ARC Discovery Grant, $60,000 pa: Zero-sum thinking

2011-2015 Consultancy, Union Bank of California, approx. $60000: Analysis and input to capital operational risk models

Supervision

Publications

  • Shou, Y. & Smithson, M.  (2015). cdfquantreg: Quantile Regression for Random Variables on the Unit Interval. R package version 1.0.
  • Shou, Y. & Smithson, M. (2015) Adapting to an uncertain world: Cognitive capacity and causal reasoning with ambiguous observations. PLoS ONE 10(10): e0140608. doi: 10.1371/journal.pone.0140608.
  • Pushkarskaya, H., Smithson, M., Joseph, J.E., Corbly, C., & Levy, I. (2015) Neural correlates of decision-making under ambiguity and conflict. Frontiers in Behavioral Neuroscience, 9, 325.  doi: 10.3389/fnbeh.2015.00325.
  • Smithson, M., Sopena, A. & Platow, M. (2015) When is group membership zero-sum? Effects of ethnicity, threat, and social identity on dual national identity,  PLOS ONE 1-18, doi: 10.1371/journal.pone.0130539.
  • Smithson, M. & Pushkarskaya, H. (2015) Ignorance and the brain: Are there distinct kinds of unknowns?  In L. McGoey and M. Gross (Eds.), International Handbook of Ignorance Studies, London: Routledge, pp. 114-124. 
  • Smithson, M. (2015) Ignorance studies: Interdisciplinary, multidisciplinary, and transdisciplinary.  In L. McGoey and M. Gross (Eds.), International Handbook of Ignorance Studies, London: Routledge, pp. 385-399. 
  • Smithson, M. (2015) Probability judgments under ambiguity and conflict. Frontiers in Psychology: Quantitative Psychology and Measurement, 6, 1-9, doi: =10.3389/fpsyg.2015.00674.
  • Smithson, M. & Ben-Haim, Y. (2015) Reasoned decision making without math? Adaptability and robustness in response to surprise. Risk Analysis, 35, 1911-1918. doi: 10.1111/risa.12397.
  • Shou, Y. & Smithson. M. (2015) Effects of question formats on causal judgments and model evaluation. Frontiers in Psychology: Quantitative Psychology and Measurement, 6, 1-12, doi: 10.3389/fpsyg.2015.00467.
  • Lewandowsky, S., Oreskes, N., Risbey, J.S., Newell, B.R., & Smithson, M. (2015). Seepage: Climate change denial and its effect on the scientific community. Global Environmental Change, 33, 1-13.
  • Shou, Y. & Smithson, M. (2015). Evaluating predictors of dispersion: A comparison of Dominance Analysis and Bayesian Model Averaging. Psychometrika, 80, 236-256.
  • Platow, M. J., Grace, D. M., & Smithson, M. J. (2014). When immigrants and converts are not truly one of us: Examining the social psychology of marginalizing racism. In K. Rubenstein, F. Jenkins, & M. Nolan (Eds.), Allegiance and Identity in a Globalised World. Cambridge: Cambridge Univesity Press, pp. 192-220.
  • Smithson, M. & Shou, Y. (2014). Randomly stopped sums: Models and psychological applications. Frontiers in Psychology: Quantitative Psychology and Measurement, 1-11, doi: 10.3389/fpsyg.2014.01279
  • Budescu, D.V., Por, H-H., Broomell, S.B., & Smithson, M. (2014) The Interpretation of IPCC Probabilistic Statements around the World. Nature Climate Change. doi: 10.1038/NCLIMATE2194
  • Lewandowsky, S., Risbey, J.S., Smithson, M., Newell, B.R., & Hunter, J. (2014) Scientific Uncertainty and Climate Change: Part I. Uncertainty and Unabated Emissions. Climatic Change, 124, 21-37.
  • Lewandowsky, S., Risbey, J.S., Smithson, M., & Newell, B.R. (2014) Scientific Uncertainty and Climate Change: Part II. Uncertainty and Mitigation. Climatic Change, 124, 39-52.
  • Smithson, M. (2014) Elicitation. In T. Augustin, F. Coolen, G. de Cooman and M. Troffaes (Eds.), An Introduction to Imprecise Probabilities. London: Wiley, pp. 318-328.
  • Smithson, M. and Merkle, E.C. (2014). Generalized Linear Models for Categorical and Continuous Limited Dependent Variables. Boca Raton, Florida: Chapman and Hall.
  • Smithson, M. (2013) Unknowns in dual use dilemmas. In B. Rappert and M. Selgelid (Eds.) On the Dual uses of Science and Ethics : Principles, Practices, and Prospects, ANU E-Press, pp. 165-184.
  • Smithson, M. (2013). Conflict and ambiguity: Preliminary models and empirical tests. Proceedings of the Eighth International Symposium on Imprecise Probability: Theories and Applications, Compiegne, France, 2-5 July 2013: pp. 303-310.
  • Smithson, M. (2012). A simple statistic for comparing moderation of slopes and correlations. Frontiers in Quantitative Psychology and Measurement, 3, 1-9, DOI=10.3389/fpsyg.2012.00231.
  • Verkuilen, J. and Smithson, M. (2012). Mixed and mixture regression models for continuous bounded responses using the beta distribution.  Journal of Educational and Behavioral Statistics, 37, 82-113.
  • Smithson, M., Budescu, D.V., Broomell, S.B., and Por, H.-H. (2012). Never Say 'not:' Impact of negative wording in probability phrases on imprecise probability judgments. International Journal of Approximate Reasoning, 53, 1262-1270.
  • Hájek, A. and Smithson, M. (2012). Rationality and indeterminate probabilities. Synthese, 187, 33-48.
  • Butcher, P., Bouma, A., Stremmelaar, E.F., Bos, A.F., Smithson, M., &Van Braeckel, K.N.J.A. (2012). Visuospatial perception in children born preterm is doubly disadvantaged. Neuropsychology, 26, 723-734.
  • Smithson, M. (2012) Uncertainty. In V.S. Ramachandran (ed.) Encyclopedia of Human Behavior, 2nd Edition. Oxford: Elsevier, pp. 621-628.
  • Platow, M. J., Grace, D. M., & Smithson, M. J. (2011). Examining the preconditions for psychological group membership: Perceived social interdependence as the outcome of self categorization. Social Psychology and Personality Science, 3, 5-13.
  • Smithson, M., Merkle, E.C. and Verkuilen, J. (2011). Beta regression finite mixture models of polarization and priming. Journal of Educational and Behavioral Statistics, 36, 804-831.
  • Smithson, M., Davies, M., & Aimola-Davies, A. (2011). Exploiting test structure: Case series, case-control comparison, and dissociation. Cognitive Neuropsychology, 28(1), 44-64.
  • Merkle, E.C., Smithson, M. and Verkuilen, J. (2011). Using beta-distributed hierarchical models to examine simple mechanisms underlying confidence in decision making.  Journal of Mathematical Psychology, 55, 57-67.
  • Smithson, M., Budescu, D.V., Broomell, S.B., and Por, H.-H. (2011). Never Say 'Not:' Impact of Negative Wording in Probability Phrases on Imprecise Probability Judgments. Proceedings of the Seventh International Symposium on Imprecise Probability: Theories and Applications, Innsbruck, Austria, 25-28 July 2011: pp. 327-333.
  • Smithson, M. (2011) Confidence interval. In M. Lovric (Ed.) International encyclopedia of statistical sciences, Part 3. N.Y.: Springer, 283-284. 
  • Pushkarskaya, H., Liu, X., Smithson, M. and Joseph, J.E. (2010). Beyond risk and ambiguity: deciding under ignorance. Cognitive, Affective, and Behavioral Neuroscience, 10 (3), 382-391.
  • Smithson, M. (2010) When less is more in the recognition heuristic. Judgment and Decision Making, 5, 230-243.
  • Smithson, M. (2010) Ignorance and uncertainty. In V. A. Brown, J. Russell, and J. Harris (Eds). Tackling wicked problems through the transdisciplinary imagination. London: Earthscan, 84-97.
  • Pushkarskaya, H., Smithson, M., Liu, X. and Joseph, J.E. (2010). Neuroeconomics of environmental uncertainty and the theory of firm. In M. Day, A. Stanton, and I. Welpe (Eds.) Neuroeconomics and the Firm. Cheltenham UK: Elgar, 13-28.
  • Smithson, M. (2010) Understanding uncertainty. In G. Bammer (Ed.), Dealing with Uncertainties in Policing Serious Crime. Canberra: ANU E-Press, 27-48.
  • Smithson, M. (2009) How many alternatives? Partitions pose problems for predictions and diagnoses. Social Epistemology, 23, 347-360.
  • Smithson, M. & Segale, C. (2009) Partition priming in judgments of imprecise probabilities. Journal of Statistical Theory and Practice ,3, 169-182.
  • Aimola-Davies, A., Davies, M., Ogden, J., Smithson, M. & White, R.C. (2009).  Cognitive and motivational factors in anosognosia. In T. Bayne & J. Fernandez (Eds.), Delusions and Self-Deception: Affective and Motivational Influences on Belief-Formation. Hove, East Sussex: Psychology Press, 187-225.
  • Selected Older Publications

  • Bammer, G. and Smithson, M. (Eds.) (2008). Uncertainty and Risk: Multidisciplinary Perspectives. London: Earthscan.
  • Smithson, M. and Verkuilen, J. (2006). Fuzzy Set Theory: Applications in the Social Sciences. Quantitative Applications in the Social Sciences Series. Belmont, CA: Sage.
  • Smithson, M. (2003). Confidence intervals. Quantitative Applications in the Social Sciences Series, No. 140. Belmont, CA: Sage.
  • Smithson, M. (1989) Ignorance and uncertainty: Emerging paradigms. New York, NY: Springer.
     

Updated:  28 May 2016/Responsible Officer:  Director, RSP/Page Contact:  Web Admin, RSP