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Fall 2009 Short Courses
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Pre-registration and payment of fees is required for all Short Courses.
Please follow these links for details on:
REGISTRATION
Course Fees
Certificate of Completion
Statistical Consulting Service
Introduction to SAS for Windows
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Instructor:
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Hugh McCague, PhD |
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Dates:
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October 7, 14, 21 and 28, 2009 (Wednesdays) |
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Time:
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1-4:30pm |
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Location:
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Room 203, Accolade West Building (ACW) |
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Enrolment Limit:
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35 |
This short course provides a basic introduction to the Statistical Analysis System (SAS). Sessions One and Two provide: an overview of SAS and its underlying logic; an explanation of the use of the Display Manager System to run a SAS job; an introduction to the SAS Data step for reading, importing, transforming and storing numeric and character data; and, a demonstration of how output can be changed with different options. In addition, some basic procedures in SAS will be introduced.
Sessions Three and Four will concentrate on SAS programming techniques to modify data, create charts and plots, and transform temporary datasets to permanent datasets. A demonstration of how to use SAS/INSIGHT and SAS/ANALYST will be presented, as well as a basic description of the general linear model. The course is designed for participants with some introductory level statistical knowledge, but no previous experience in using SAS.
Because this material is presented sequentially and builds upon the basics presented at the beginning of each day, course participants need to arrive on time and attend the entire session.
Introduction to SPSS for Windows
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Instructor:
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Lisa Fiksenbaum, MA |
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Dates:
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October 9, 16, 23 and 30, 2009 (Fridays) |
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Time:
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9am-12:30pm |
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Location:
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Room 203, Accolade West Building (ACW) |
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Enrolment Limit:
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35 |
This course presents the basics of the Statistical Package for the Social Sciences (SPSS). Session One will introduce the computing concepts of SPSS, the different facilities for reading data into an SPSS spreadsheet, and saving SPSS data files for future use. At the end of the first session, participants should be able to run simple programs, including some statistical procedures.
Sessions Two and Three will cover basic data modifications, transformations and other functions, including the uses of SPSS system files. More statistical procedures will also be introduced, with an emphasis on the use of graphical methods for examining univariate and bivariate relationships. Session Four will cover Analysis of Variance and Least Squares Regression. As with previous sessions, graphical techniques will be demonstrated. Participants will benefit if they have a basic level of statistical knowledge up to general linear models, but the course is designed as an introduction to data analysis using the SPSS program and not as a statistics course.
Because this material is presented sequentially and builds upon the basics presented at the beginning of each day, course participants need to arrive on time and attend the entire session.
Examining and Testing
Statistical Mediation Hypotheses
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Instructor:
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Professor David Flora |
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Dates:
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October 20, 27 and Nov. 3, 2009 (Tuesdays) |
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Times:
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10:30am-12:30pm |
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Location:
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Room 159 (Hebb Lab) Behavioural Sciences Building (BSB) |
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Enrolment Limit:
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20 |
Hypotheses involving mediation (or indirect effects) are very common in the behavioural and social sciences. A "mediating variable" is the hypothetical mechanism through which some independent variable or predictor exerts its influence on a dependent variable or outcome. More simply, a mediator explains how or why a predictor relates to an outcome. Following a brief discussion of conceptual issues related to mediation, this course will give an in-depth examination of statistical methods for testing mediation in the basic three-variable design (including computer implementation). Additional topics may include moderated mediation, tests for multiple mediation, and mediation in the context of longitudinal and multilevel designs. Course participants will be expected to have prior experience with multiple regression analysis.
Because this material is presented sequentially and builds upon the basics presented at the beginning of each day, course participants need to arrive on time and attend the entire session.
An Introduction to
Structural Equation Modeling
Professor Robert Cribbie October 22, 29 and Nov. 5, 2009 (Thursdays) 11:30am-2:30pm Room 159 (Hebb Lab)
Behavioural Sciences Building (BSB)20 This course will provide a general introduction to the methods of structural equation modeling (SEM), including a discussion of developing models, evaluating the fit of models to data, evaluating the significance of model parameters and performing model modification. The primary objectives of this class will be to provide: a) the ability to recognize situations where these techniques may be useful in research; b) an appreciation for the roles of sound theory in making these techniques useful; c) an understanding of the limitations of these methods; and d) the ability to use available software for analyzing data.
Because this material is presented sequentially and builds upon the basics presented at the beginning of each day, course participants need to arrive on time and attend the entire session.
- For York students, staff, and faculty, the fee is $40 per course.
- Full-time students at other post-secondary institutions may enrol for a fee of $60 per course.
- For external participants, the fees per course are:
- Introduction to SAS for Windows......$240
- Introduction to SPSS for Windows....$240
- Examining and Testing
Statistical Mediation Hypotheses ......$180 - An Introduction to
Structural Equation Modeling ..........$180
Course fees must be paid at the time of registration.
See the registration form for payment options.
Refunds are available upon three business days' notice
prior to the course start date
and are subject to an administrative fee.
Please review our policy regarding refunds here.
Registration
- You can register for courses by completing the
on-line registration form.
- To register in person (weekdays, from 9am-Noon or 2-4pm),
please see:
Anita Valencia
Room 5075
Technology Enhanced Learning Building (TEL)
- To register by mail, print a blank registration form,
complete, and send to:
Anita Valencia
Institute for Social Research
Room 5075
Technology Enhanced Learning Building
York University
4700 Keele Street
Toronto, ON M3J 1P3
Canada
- You may also fax a completed registration form to: 416-736-5749
- For further information, please telephone 416-736-5061, weekdays, from 9am-Noon or 2-4pm
- Directions to York University (Keele Campus), information on parking and building locations click here.
For those coming to York from off campus, please allow plenty of time to find parking and the building and room where your course is taking place.
- Available on request, full attendance is required.
- A $5.00 administrative fee applies, for each certificate requested.
Consultation is provided by a group of faculty drawn from York University's Departments of Sociology, Psychology, Geography, and Mathematics and Statistics, in conjunction with full-time professional staff at ISR. The faculty and staff have extensive experience with all forms of statistical analysis. Topics for which assistance is available include regression analysis, multivariate analysis, stochastic processes, probability theory, exploratory data analysis, scaling and cluster analysis, analysis of categorical data, structural equation modeling, survey data and longitudinal data, experimental design, survey sampling, and statistical computing.
Three times a year, the Statistical Consulting Service offers short courses on various aspects of statistics and statistical computing, including regular introductions to the SPSS and SAS statistical packages. Recent course offerings have included regression diagnostics, boot-strapping techniques, an introduction to the AMOS module in SPSS, graphical methods for categorical data, confirmatory factor analysis, model-based approaches to cluster analysis, introduction to the R programming language, and visual methods for statistical data analysis.
The Statistical Consulting Service maintains a regular schedule of office hours during the academic year. The Service primarily serves the York University community; for others, consultation is available on a fee-for-service basis.
Please go to the Institute's Web site at http://www.isr.yorku.ca/scs to make appointments online with SCS consultants.
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