Scott R. Colwell Email and Phone Number
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Scott R. Colwell personal email
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I have been a faculty member at the University of Guelph since 2003. I teach research methods, univariate and multivariate statistical methods and structural equation modeling. I am an Associate Professor in the Department of Marketing and Consumer Studies and an Adjunct Professor in the Department of Psychology. Prior to joining Guelph I was a faculty member with Acadia University for 3 years. Prior to entering academia I was in the financial services industry for 10 years.My research falls in to two categories. The first deals with ethical decision making in organizations. The second is applied statistical methods.I am a member of the Academy of Management, Canadian Psychological Association, the Psychometric Society, and Division 5 (Evaluation, Measurement, and Statistics) of the American Psychological Association. Finally, I am a Chartered Statistician (CStat) with Royal Statistical Society and an Accredited Professional Statistician (PStat) with the American Statistics Association.
Scott R. Colwell Skills
Scott R. Colwell Education Details
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Management And Research Methods
Frequently Asked Questions about Scott R. Colwell
What company does Scott R. Colwell work for?
Scott R. Colwell works for University Of Guelph
What is Scott R. Colwell's role at the current company?
Scott R. Colwell's current role is Associate Professor.
What is Scott R. Colwell's email address?
Scott R. Colwell's email address is sc****@****elph.ca
What is Scott R. Colwell's direct phone number?
Scott R. Colwell's direct phone number is +151957*****
What schools did Scott R. Colwell attend?
Scott R. Colwell attended University Of Bradford.
What are some of Scott R. Colwell's interests?
Scott R. Colwell has interest in Civil Rights And Social Action, Science And Technology, Education, Human Rights.
What skills is Scott R. Colwell known for?
Scott R. Colwell has skills like Statistics, Research, Quantitative Research, Research Design, Public Speaking, Data Analysis, Spss, University Teaching, Experimental Design, Management, Statistical Modeling, R.
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