Norm O'Rourke
Clinical Psychologist and Associate Professor
Simon Fraser University
Norm O'Rourke, PhD, RPsych, is a clinical psychologist and associate professor with the Interdisciplinary Research in the Mathematical and Computational Sciences (IRMACS) Centre at Simon Fraser University in Burnaby (BC), Canada. He sits on the executive board of the American Psychological Association's Society for Clinical Geropsychology and the National Mental Health Commission of Canada. To date, he has published two governmental reports and seventy peer-reviewed publications in leading gerontology, measurement, and mental health academic journals. As co-applicant, Dr. O'Rourke has been part of teams awarded $4M in research funding, and $1.3M as principal applicant in governmental and foundation funding as team leader.
By This Author
A Step-by-Step Approach to Using SAS® for Factor Analysis and Structural Equation Modeling, Second Edition
By Norm O'Rourke and Larry Hatcher
In a single user-friendly volume, students and researchers will find all the information they need in order to master SAS basics before moving on to factor analysis, path analysis, and other advanced statistical procedures.
*Our books are also available in print and e-book formats
from your local bookstore or favorite online bookseller.
JMP® for Basic Univariate and Multivariate Statistics: Methods for Researchers and Social Scientists, Second Edition
By Ann Lehman, Norm O'Rourke, Larry Hatcher, and Edward J. Stepanski
JMP for Basic Univariate and Multivariate Statistics: Methods for Researchers and Social Scientists, Second Edition is a user-friendly book that introduces researchers and students of the social sciences to JMP and to elementary statistical procedures, while the more advanced statistical procedures that are presented make it an invaluable reference guide for experienced researchers as well.
*Our books are also available in print and e-book formats
from your local bookstore or favorite online bookseller.
A Step-by-Step Approach to Using SAS® for Univariate and Multivariate Statistics, Second Edition
By Norm O'Rourke, Larry Hatcher, and Edward J. Stepanski
This book is an easy-to-understand introduction to SAS as well as to univariate and multivariate statistics. Clear explanations and simple language guide you through the research terminology, data input, data manipulation, and types of statistical analysis that are most commonly used in the social and behavioral sciences.
JMP® for Basic Univariate and Multivariate Statistics: A Step-by-Step Guide
By Ann Lehman, Norm O'Rourke, Larry Hatcher, and Edward J. Stepanski
*Replaced by a new edition, JMP® for Basic Univariate and Multivariate Statistics: Methods for Researchers and Social Scientists, Second Edition
Step-by-Step Approach to Using the SAS® System for Factor Analysis and Structural Equation Modeling
Awards
2013-2014 Society for Technical Communication Carolina Chapter Technical Publications Competition
Award of Excellence
JMP for Basic Univariate and Multivariate Statistics: Methods for Researchers and Social Scientists, Second Edition
Featured Authors
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Todd Case has been working in the pharmaceutical industry as a statistical programmer for over 20 years. He completed his MS in Epidemiology from Columbia University and has worked at Forest Laboratories (now Allergan), Genentech, Bristol-Myers Squibb, and Biogen. He currently works at Vertex Pharmaceuticals.
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Ron Klimberg, PhD, is a professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA.
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Terisa Roberts is a director and Global Solution lead for Risk Modeling and Decisioning at SAS. She has extensive experience in quantitative risk management, regulatory compliance, and model governance and validation. She has worked in financial services, telecommunications, government, energy, and retail sectors.
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Robert N. Rodriguez retired from SAS in 2018 after serving as a senior director in research and development. Bob received a PhD in statistics from the University of North Carolina at Chapel Hill and was a research statistician at General Motors Research Laboratories before joining SAS.