
SCS and ISR Short Courses
Spring/Summer 2002

Updated: April 2, 2002
Longitudinal Surveys: National
Population Health Survey (NPHS)
Instructor: 
France Bilocq 
Dates: 
Monday, May 27, 2002 
Time: 
9:30 a.m.  12:00 noon and 1:00  3:30 p.m 
Location: 
Room N203 North Ross Building 
Enrolment Limit: 
40 
The objective of this course is to examine issues that are
specific to the sample design, content development, collection, processing,
data analysis and dissemination of a longitudinal survey using the National
Population Health Survey as an example. We will also describe data access
possibilities, workshops and products available for NPHS.
Registration
form
NUD*IST: Using Computers
in the Analysis of Qualitative Data
Instructor: 
Professor Judy Bates 
Dates: 
Wednesday, May 15, 2002 
Time: 
9:30 a.m.  12:00 noon and 1:00  3:30 p.m 
Location: 
Room N203 North Ross Building 
Enrolment Limit: 
40 
The focus of this workshop will be on using NUD*IST for analyzing
qualitative data, such as transcripts of indepth interviews, focus groups
and field notes. The morning session will focus on when and why to
use NUD*IST, how to import text and how to code it. In the afternoon
we will examine the tools for analysing qualitative data in NUD*IST.
Registration
form
Focus Groups for Social
Research
Instructor 
John Pollard,
MA 
Date 
Monday, May 13, 2002 
Time 
9:30 a.m.  12:00 noon and 1:00  3:30 p.m. 
Location 
Room 3005 Vari Hall 
Enrolment Limit 
25 
This course is an introduction to focus group research. The morning
session will deal with the basic features of focus group planning and implementation.
The afternoon session will consider practical aspects of conducting focus
groups, with a special emphasis on moderator techniques. Participants
are invited to raise concrete problems for discussion relating to focus
group design, the identification and selection of participants, and data
collection.
Registration
form
An Introduction to Questionnaire
Design
Instructor 
David Northrup,
MA and Renée ElsbettKoeppen, MSc 
Date 
Tuesday, May 7, 2002 
Time 
9:30 a.m.  12:00 noon and 1:00  3:30 p.m 
Location 
Room N203 North Ross Building 
Enrolment Limit 
40 
This course provides a broad examination of questionnaire design, reviewing
methodological research and setting out design guidelines. A wide
range of examples will be used to address major design issues such as question
wording, question order, avoiding bias, dealing with social desirability,
and the problem of recall. The relationship between questionnaire
design and data collection, including the role of the interviewer, will
be briefly considered.
Registration
form
Interpreting Qualitative
Data: An Overview
Instructor 
Dr. Darla Rhyne 
Date 
Tuesday, May 14, 2002 
Time 
9:30 a.m.  12:00 noon and 1:00  3:30 p.m. 
Location 
Room 3005 Vari Hall 
Enrolment Limit 
25 
The focus of this workshop will be on strategies for analyzing qualitative
social science research materials, such as field notes or transcripts of
indepth interviews and focus groups. Major topics include: the characteristics
and process of qualitative analysis, organizing data, emergent concepts
and analytic memos. Organized around the major themes of keeping
track of what you are doing, what you are finding, and how you are feeling
about it, the session will pay particular attention to coding and indexing
as integral components of the analytic process.
Registration
form
An Introduction to Sample
Design for Surveys
Instructor 
Professor
Michael Ornstein 
Date 
Wednesday, May 22 and Friday, May 24, 2002 
Time 
2:00  5:00 p.m. 
Location 
Room S203 South Ross Building 
Enrolment Limit 
40 
The first session is devoted to a review of the statistics of sample
design, including alternative sample designs, the calculation of errors
from sample data, the use of weights, and decisions about sample size.
The second session deals with sample selection in a number of practical
situations, including sampling from lists, drawing samples of organizations,
twostage sampling strategies for population sectors, and random digit
dialing. The course concludes with a very brief introduction to resampling
methods for computing errors in complex samples. While the material
is presented at an introductory level, it will be difficult to understand
without some background in elementary statistics.
Registration
form
Data
Analysis Using SAS for Windows
Instructor: 
Ernest Kwan,
MA 
Dates: 
Thursdays, May 2, 9, 16, 23, 2002 
Time: 
11:00 a.m.  2:00 p.m. 
Location: 
Room T107 (PC lab) Steacie Science Library 
Enrolment Limit: 
25 
I Basic Introduction: 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.
II Further Topics: 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.
Registration
form
Introduction
to SPSS for Windows
Instructor: 
Mirka Ondrack,
MSc 
Dates: 
Wednesdays, May 1, 8, 15, 22, 2002 
Time: 
10:30 a.m.  2:00 p.m. 
Location: 
Room T107 (PC Lab) Steacie Science Library 
Enrolment Limit: 
25 
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.
Registration
form
Exploratory and Confirmatory
Factor Analysis
Instructor: 
Professor
Michael Friendly 
Dates: 
Tuesday, April 23 and 30, 2002 
Time: 
2:00  5:00 p.m. 
Location: 
Room S203 South Ross Building 
Enrolment Limit: 
25 
This course provides an overview of the theory and practice of exploratory
and confirmatory factor analysis. Topics to be covered include:
a. the use of principal components analysis as a data reduction technique;
b. the basic ideas of factor analysis and the common factor model;
c. factor rotation methods;
d. the development of confirmatory factor models; and
e. applications of CFA models, including test?theory models of "equivalence"
of measures, multitrait?multimethod data and multi?sample analysis.
The level of the course will be largely conceptual and applied. Some
familiarity with elementary matrix algebra will be useful, though not essential.
Extensive examples, primarily using SAS and LISREL, will be presented.
Registration
form
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