Ryan Barnhart is a PhD candidate in Psychology at York University with specialization in Quantitative Methods, under Dr. Michael Friendly. Ryan's research interests and statistical work has focused upon longitudinal data analysis using multilevel modeling and generalized linear multilevel modeling. This work has helped him to develop a multiplatform approach to using statistical software, including SAS, STATA, R and SPSS.

David Flora is an Associate Professor in the Department of Psychology at York University and the past Coordinator of the Statistical Consulting Service. He received his PhD in Quantitative Psychology from the University of North Carolina at Chapel Hill. His research interests include longitudinal data analysis, psychometric analysis, factor analysis, and structural equation modelling.

* On Sabbatical Leave 2011-2012.

  Professor John Fox   

John Fox is Senator William McMaster Professor of Social Statistics in the Sociology Department at McMaster University and an Associate Coordinator of the Statistical Consulting Service at York. He teaches at the Inter-University Consortium for Political and Social Research in Ann Arbor and is the author of Applied Regression and Generalized Linear Models, Second Edition (Sage, 2008) and An R and S-PLUS Companion to Applied Regression (Sage, 2002), among other works. Professor Fox holds a PhD from the University of Michigan.

Matt Friedlander completed his BA and MA degrees in Statistics at York University and is currently pursuing his PhD degree. His doctoral research is in Statistics in the area of Bayesian model selection and discrete graphical models. Matt is currently a consultant with ISR and is able to help with data analysis using SAS and R.

  

Professor Michael Friendly   

Michael Friendly received his doctorate in Psychology from Princeton University, specializing in Psychometrics and Cognitive Psychology. He is a Professor of Psychology at York and Joint Coordinator (2011-2012) with the Statistical Consulting Service. In addition to his research interests in psychology, Professor Friendly has broad experience in data analysis, statistics and computer applications. He is the author of SAS for Statistical Graphics, 1st Edition and Visualizing Categorical Data, both published by SAS Institute, and an Associate Editor of the Journal of Computational and Graphical Statistics and Statistical Science. His recent work includes the further development of graphical methods for categorical data and multivariate data analysis.

Professor Bryn Greer-Wootten    

Bryn Greer-Wootten is Professor Emeritus in Environmental Studies and the Department of Geography, Faculty of Arts, and an Associate Coordinator with the Statistical Consulting Service. His research interests are in the area of environmental policy and planning. In particular, they include community responses to high-level nuclear waste facility siting, local conflicts in provincial waste management policies, scientific and elite discourse in global climate change policy formulation, and cross-cultural representations of folk narratives on the environment.

Constance Mara is a PhD student in Psychology within the Quantitative Methods area. Her research interests include equivalence testing, statistical mediation analysis, longitudinal data analysis, and structural equation modeling. She is familiar with several statistical software programs such as SPSS, SAS, and R.

Hugh McCague has worked as a statistician in both private and public sectors. He completed a PhD in Environmental Studies and an MA in Statistics at York University. His research and publications have concentrated on applications of mathematics and statistics in architectural history and archaeology. He has taught research and computer skills to undergraduate students in Arts at York University. He teaches the introductory SAS course for the Statistical Consulting Service, in addition to regular consulting.

  Professor Georges Monette   

Georges Monette is an Associate Professor of Mathematics and Statistics at York and an Associate Coordinator with the Statistical Consulting Service. Most of his research has been in the mathematical foundations of statistical inference. His recent interests are the geometric visualization of statistical concepts and the modeling and analysis of longitudinal data. He has worked in a number of applied areas, including pay equity and the statistical analysis of salary structures.  He received his PhD in Statistics from the University of Toronto.

Dr. Peggy Ng received her PhD in Preventive Medicine and Biostatistics from University of Toronto. She is a Professor in Management Sciences and Applied Statistics. Her research focus has been in biostatistics, experimental design, psychometrics and their applications in Health Sciences. Her recent research interests include panel data analysis in organizational data and knowledge creation, and the use of a soft approach for hard optimization models. Peggy is the past president of the Southern Ontario Regional Association of the Statistical Society of Canada.

  

David Northrup is Associate Director at ISR and is responsible for the design and management of major surveys at the Institute. He has over 20 years of experience in questionnaire design and data collection. His research interests include survey methodology, election studies, public policy, and government policy on tobacco control. Mr. Northrup holds an MA and he teaches survey research methods at York University.

  

Mirka Ondrack received her Master's degree in Physics from Masaryk University in the Czech Republic and spent two years studying industrial engineering at the University of Toronto. She has held the position of Programmer/Analyst at ISR since 1971. Ms. Ondrack is currently a consultant with the Statistical Consulting Service and also does custom programming and data analysis. She has been teaching courses on SAS and SPSS since 1981. Mirka consults on statistical computing using SPSS and SAS; data screening and statistical graphics; regression, ANOVA and other linear models; factor analysis, PCA.

  

Michael Ornstein is an Associate Professor of Sociology and Director of the Institute for Social Research, where he is responsible for research methodology. His "Trend Report on Survey Research" appeared in the International Sociological Association's journal Current Sociology. Recently he has conducted research on socio-economic differences among ethno-racial groups in Toronto, changes in the composition and pay of occupations and gender differences in university promotion. His methodological interests are in the areas of questionnaire design and the analysis of social survey data. He is a member of Statistics Canada's Advisory Committee on Labour and Income Statistics.

* On Sabbatical Leave 2011-2012.

Michael Rotondi is an Assistant Professor of Biostatistics in the School of Kinesiology and Health Sciences. He received his PhD in Biostatistics from the University of Western Ontario and completed a post-doctoral fellowship at the Samuel Lunenfeld Research Institute in statistical genetics. His research interests include the design and analysis of cluster randomized trials, studies of interobserver agreement and statistical genetics.

 Matthew Sigal

Matthew Sigal is a doctoral student in the Quantitative Methods area of Psychology.  He is a member of Dr. Michael Friendly's lab and is particularly interested in methods of data visualization, statistical approaches to the use of reaction time data, and alternative modeling strategies within the framework of survival analysis.  He has been the teaching assistant for both undergraduate and graduate level statistics courses, and is adept with SPSS, R, and SAS. For further details see: www.matthewsigal.com

Carrie Smith is a doctoral candidate in Psychology at York University, specializing in Quantitative Methods. She received her MA in Psychology at York, and BASc in Engineering at the University of Toronto. Her research interests include data visualization and developing robust methods of statistical analysis appropriate for behavioural science data. She has been using R for statistical computing in her research and consulting for several years, and enjoys helping new users make the transition to this versatile software.

 Bin Sun

Bin Sun is a PhD student in Statistics in the Department of Mathematics and Statistics at York University. She was a part-time biostatistician at Princess Margaret Hospital for two years. Her primary research interest now is Semi-Parametric modeling with missingness. She has experience in longitudinal data analysis, mixed modeling, survival analysis and genetic statisics with R and SAS.

Yawen Xu is a PhD student in the Department of Mathematics and Statistics at York University. Recently, she was enrolled in the Financial Engineering Program in the Schulich School of Business. Her main research interests are regression models, generalized linear models, longitudinal data analysis and numerical methods for Finance. Yawen is proficient in Splus/R, SAS and Maple.