SCS and ISR Short Courses, Spring 2004

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SCS Courses

Data Analysis Using SAS
Introduction to SPSS for Windows

ISR Courses

Focus Groups for Social Research
Interpreting Qualitative Data - An Overview
Using Computers In Qualitative Analysis: An NVIVO Workshop
Designing Effective Survey Instruments for the Web
An Introduction to Questionnaire Design
The Art and Science of Research Interviewing
An Introduction to Survey Data Analysis

Data Analysis Using SAS for Windows

Instructor: Oren Amitay, MA
Dates: Thursdays, Apr 29 - May 20, 2004
Time:1:30 - 4:30
Location: Room TBA, Steacie Science Library
Enrolment Limit: 30

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.

Introduction to SPSS for Windows

Instructor: Lisa Fiksenbaum, MA
Dates: Tuesdays, Apr 27 - May 18 , 2004
Time: 10:00 a.m. - 1:30 p.m.
Location: Room TBA, Steacie Science Library
Enrolment Limit: 30

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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