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About the Authors

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Michael Smithsonis a Professor in the Research School of Psychology at The Australian National University in Canberra and received his PhD from the University of Oregon. He 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); coauthor of Fuzzy Set Theory: Applications in the Social Sciences (2006) and Generalized Linear Models for Categorical and Limited Dependent Variables (2014); and coeditor of Uncertainty and Risk: Multidisciplinary Perspectives (2008) and Resolving Social Dilemmas: Dynamic, Structural, and Intergroup Aspects (1999). His other publications include more than 170 refereed journal articles and book chapters. His primary research interests are in judgment and decision making under ignorance and uncertainty, statistical methods for the social sciences, and applications of fuzzy set theory to the social sciences.Yiyun Shouis a research fellow in the Research School of Psychology at The Australian National University. She received her PhD degree in psychology in 2015 and was recently awarded an Australian Research Council Discovery Early Career Award (2018–2021). She is active in research in the areas of understanding measurement issues in psychology and developing new quantitative methods. She also conducts extensive research in judgment and decision making under uncertainty and cross-cultural psychological assessments. She has publications in a number of respected international outlets for measurement and quantitative psychology such as the Journal of Statistical Software, British Journal of Mathematical and Statistical Psychology, Psychometrika, and Psychological Assessment.

Generalized Linear Models for Bounded and Limited Quantitative Variables

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