institute for social research

York University  

Over 40 years of excellence in conducting applied and academic social research
York University
4700 Keele Street
Toronto, ON Canada
M3J 1P3

Telephone: 416-736-5061
Toll-free: 1-888-847-0148
Fax: 416-736-5749
E-mail: isrnews@yorku.ca

Fall 2010 Short Courses

Courses
Introduction to SPSS for Windows
Introduction to SAS for Windows
Introduction to Structural Equation Modeling

Pre-registration and payment of fees is required for all Short Courses.

Please follow these links for details on:

Course Fees
Registration
Certificate of Completion
Statistical Consulting Service

[Click here for Previous Courses]

An Introduction to SPSS for Windows
Instructor:
Lisa Fiksenbaum, MA
Date:
Wednesdays - Oct. 6, 20, 27 and Nov. 3, 2010
Time:
1-4:30pm
Location:

Room 203
Accolade West Building (ACW)

Enrolment Limit:
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 these materials are presented sequentially and build upon the basics presented at the beginning of each day, course participants need to arrive on time and attend the entire sessions

Click here to download the SPSS course data


An Introduction to SAS for Windows
Instructor:
Hugh McCague, PhD
Date:
Fridays - Oct. 8, 22, 29 and Nov. 5, 2010
Time:
9am-12:30pm
Location:

Room 203
Accolade West Building (ACW)

Enrolment Limit:
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 these materials are presented sequentially and build upon the basics presented at the beginning of each day, course participants need to arrive on time and attend the entire sessions.

Click here to download the SAS course data

Click here for the SAS course assignments
and related materials


An Introduction to Structural Equation Modeling
Instructor:
Professor David Flora
Date:
Tuesdays - October 19, 26 and Nov. 2, 2010
Time:
9:30am-Noon
Location:

Room 159, Hebb Lab
Behavioural Sciences Building (BSB)

Enrolment Limit:
20

Structural equation modeling (SEM) is a very general framework for specifying and evaluating linear, parametric statistical models that allow any number of independent and dependent variables as well as the incorporation of hypothetical "latent" variables. Specific types of SEM include path analysis, confirmatory factor analysis, and growth curve models, among others. This course will provide a general introduction to the methods of 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 course will include instruction in the use of software for SEM. It is expected that course participants are comfortable with multiple regression analysis.

Because these materials are presented sequentially and build upon the basics presented at the beginning of each day, course participants need to arrive on time and attend the entire sessions.

Course Fees

For York University students, the fees are $45.20 per course (including HST).

For York University faculty and staff, the fees are $90.40 per course (including HST).

Full-time students at other post-secondary institutions may register for a fee of $79.10 per course (including HST).

For external participants, the fees per course (including HST) are:

An Introduction to SPSS for Windows ................. $361.60
An Introduction to SAS for Windows ................... $361.60
Introduction to Structural Equation Modeling ........ $271.20

All participants: Certificate of Completion............. $5.65 each

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 9:00am to 12:00pm or 2:00pm to 4:00pm), please see:

Anita Valencia
Room 5075
Technology Enhanced Learning (TEL) Building

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

Certificate of Completion

Available on request, full attendance is required.

A $5.65 administrative fee (including HST) applies, for each certificate requested.

Additional Information

Additional information regarding registration:
please telephone 416-736-5061, weekdays,
from 9:00am to 12:00pm or 2:00pm to 4:00pm

Directions to York University (Keele Campus), building and parking lot locations click here. For additional information on parking click here.

Instructors

Lisa Fiksenbaum is a doctoral candidate in Social/Personality Psychology at York University. She also received her BA and MA from York. Her training and experience in statistics includes a Teaching Assistantship for the honours thesis course (Psych 4170) and she has been involved in several research projects, both at the University and in the private sector. Her research interests include organizational issues, work-family relationships, stress and coping. Ms. Fiksenbaum is proficient in SPSS, and regularly consults with graduate and undergraduate students for SCS.

David Flora is Coordinator of the Statistical Consulting Service and an Assistant Professor in the Department of Psychology at York University. 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 modeling.

Hugh McCague completed a BMath (Honours) in Statistics at the University of Waterloo, and an MA in Statistics and a PhD in Environmental Studies both at York University. He has worked as a statistician in both private and public sectors. He is a Data Analyst at the Institute for Social Research, and a consultant and instructor in ISR's Statistical Consulting Service. His research and publications have concentrated on applications of mathematics and statistics in the history of art and architecture. He is the Secretary of the Southern Ontario Regional Association of the Statistical Society of Canada and the Southern Ontario Chapter of the American Statistical Association.

Statistical Consulting Service (SCS)

The Institute for Social Research's Statistical Consulting Service provides consultation on a broad range of statistical problems and on the use of computers for statistical analysis. Its services extend beyond the social sciences to other disciplines that make use of statistics. Consultation is available to assist in research design, data collection, data analysis, statistical computing and the presentation of statistical material.

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 www.isr.yorku.ca/scs to make appointments online with SCS consultants.

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