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, transforming, and storing data; and a demonstration of how statistical analyses may be performed in SAS Insight.

Sessions Three and Four will concentrate on SAS programming techniques to modify data and enhance SAS output. More statistical procedures will be introduced for general linear models.

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.

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Introduction to Structural Equation Modeling

Instructor:	Professor Robert Cribbie
Dates:	October 12, 19, 26 and November 2
Time:	9:00am to11:30am
Location:	Lecture: 328A BSB 9-10:30 am Lab: 159 BSB 10:30-11:30 am
Enrolment Limit:	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.

• For York students, staff, and faculty, the fee is $40 per course.

• Full-time students at other post-secondary institutions may enroll for a fee of $60 per course.

• For external participants, the fees per course are:
  • Introduction to R ................................................$120
  • Data Analysis Using SAS for Windows...............$240
  • Introduction to SPSS for Windows.....................$240
  • Introduction to Structural Equation Modeling...$240
    
    

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

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

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