Clement A. Stone
Professor, University of Pittsburgh
Clement A. Stone is a professor in the Research Methodology program at the University of Pittsburgh School of Education. He is an expert in psychometrics, including educational and psychological instrument development and validation, item response theory (IRT) models and applications, and Bayesian analysis of IRT models. Also an expert in SAS software, he has used SAS extensively in research utilizing simulation methods, and he instructs graduate students in the use of SAS. He applies IRT in the development and validation of educational, psychological, and behavioral assessments, including a research focus on educational achievement, critical thinking, psychosocial stress, communication outcomes, risk factors for addiction, and physical disability. He has published numerous articles, and he coauthored a chapter on the development and analysis of performance assessments in Educational Measurement. In addition to publishing in and reviewing for numerous prominent journals, he has served on the editorial boards for the Journal of Educational Measurement, Applied Measurement in Education, Educational and Psychological Measurement, and the American Educational Research Journal. Stone holds a PhD in research methods, measurement, and statistics from the University of Arizona.
By This Author
Bayesian Analysis of Item Response Theory Models Using SAS®
Because of its tutorial structure, Bayesian Analysis of Item Response Theory Models Using SAS® will be of immediate practical use to SAS users with some introductory background in IRT models and the Bayesian paradigm.
*This book is out of print.
2015-2016 Society for Technical Communication Carolina Chapter
Award of Excellence
Bayesian Analysis of Item Response Theory Models Using SAS
- Marie Gaudard is a consultant specializing in statistical training with the use of JMP. She is currently a statistical writer with the JMP documentation team
- Satish Garla is a former Analytical Consultant in Risk Practice at SAS.
- Sam Gardner is a Senior Research Scientist at Eli Lilly and Company where he is focusing on business analytics and using statistical modeling.