Short Courses

Statistical Consulting Service (SCS) offers short courses on various aspects of statistics and statistical computing, including regular introductions to the SPSS and SAS statistical packages three times a year (Fall, Winter, and Summer). Recent course offerings have addressed factor analysis, structural equation modeling, graphical methods for categorical data, introduction to the R programming language, and mixed models.

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 SCS website to make appointments online with SCS consultants.

Pre-registration and payment of fees is required for all 2016 Fall Seminar Courses (PDF Download FALL 2016 courses)

List of Fall 2016 Courses offered

1) An Introdution to SAS for Windows

Instructor: Ryan Barnhart, MA

Dates: Wednesdays, October 5, 12, 19 and 26, 2016

Time: 1:00pm – 4:30pm

Location: Steacie Instructional Lab, Room 021, Steacie Science Library

Enrolment Limit: 35

Course Description: This short course provides an introduction to the Statistical Analysis System (SAS) syntax commands and procedures. We will cover the basics of:

  • reading, transforming, sorting, merging and saving data files in some common formats;
  • selecting cases, and modifying and computing variables;
  • performing some basic statistical procedures and tests such as descriptive statistics, correlations, contingency tables, Chi-square tests, t-tests, ANOVA and linear regression;
  • creating bar charts and scatter plots;
  • composing simple macros for tailored procedures; and
  • saving output results and work in some common formats.

This course is designed for participants with some introductory level statistical knowledge, but no previous experience in using SAS. Please note that while this course will focus on the implementation of introductory statistics in SAS, it is not intended as a review of basic statistics. This short course will get you well underway in using SAS.

Please note that the Steacie Instructional Lab [Steacie 021] is accessed by entering Steacie Library and then proceeding to the basement of that Library.

Please note that food and drink are not allowed in Steacie Library and the Steacie Instructional Lab. The only exceptions are capped bottles of water (not juice/pop) and spill proof mugs (not cups of coffee). 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.

SAS course materials

2) An Applied Introduction to SPSS

Instructor: Alyssa Counsell, MA

Dates: Fridays, October 7, 14, 21 and November 4, 2016

Time: 9:00am – 12:30pm

Location: Steacie Instructional Lab, Room 021, Steacie Science Library

Enrolment Limit: 35

Course description:  This course aims to acquaint participants with IBM SPSS Statistics, a popular and respected program for analyzing data that is used across a range of disciplines. The curriculum has been recently revised to not only introduce the basic functions and features of the software (including data entry and manipulation), but also to demonstrate how to conduct a range of statistical analyses. Hands-on exercises will supplement the lecture material.

The curriculum for this course is designed to be an applied introduction to a statistical program; as such, familiarity with basic statistical procedures (e.g., t-tests, ANOVA, regression) is assumed. Further, participants are encouraged to bring a USB flash drive to store their work.

Please note that the Steacie Instructional Lab [Steacie 021] is accessed by entering Steacie Library and then proceeding to the basement of that Library.

Please note that food and drink are not allowed in Steacie Library and the Steacie Instructional Lab. The only exceptions are capped bottles of water (not juice/pop) and spill proof mugs (not cups of coffee). 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.

Download the SPSS course data in a zip file.

3) Advanced Research Design Seminar

Instructors: Professor Bryn Greer-Wootten

Dates: Tuesdays, October 11, 25, November 8 and 22, 2016

Times: 6:00pm-9:00pm

Location: Room 5082, Victor Phillip Dahdaleh Building (Formerly TEL Building)

Enrolment Limit: 10

Course Description:  Research design in the social, environmental and behavioural sciences today must consider the choices to be made between quantitative, qualitative and mixed (i.e., both quantitative and qualitative) methods. This short course is designed as a seminar to examine such choices. An introductory presentation distinguishes between these approaches from philosophical perspectives. Subsequent sessions discuss (i) the primary issues, based on assigned readings, (ii) critical reviews of participant-chosen research articles, and (iii) group critique of individual research proposals. Sufficient time between meetings is allowed for the work required for these activities.

Enrolment is limited to 10 in order to maximize the seminar setting. This short course is open to everyone, but the participant likely to gain most from the experience is a PhD candidate post-comprehensives or a junior faculty person. It may be necessary to select participants based on their applications: please be sure to enter your reasons for applying for this short course in the online Registration Form in the box marked “Additional Information”.

Applicants will be notified of acceptance one week prior to the first seminar meeting, i.e., by October 4, 2016.

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

4) Using Computers in Qualitative Analysis: An NVivo 11 for Windows Workshop

Instructor: Stella Park, MA

Dates: Friday, October 14 and Monday, October 17, 2016

Times: 9:30am-Noon; 1:00pm-3:30pm

Location: Room 2004, Victor Phillip Dahdaleh Building (Formerly TEL Building)

Enrolment Limit: 20

Course Description: This hands-on Workshop will provide both a basic and advanced introduction to NVivo 11 (Pro) for Windows. As this Workshop will focus on how to move forward into your analysis, participants are required to have had some prior experience and/or exposure to qualitative assumptions, theories and methods before attending this Workshop. The overall objective is to provide you with the tools to ensure that the theory and methods guiding your project remain central as you move into NVivo.

On Day One you will create a project and learn how to import and work with a wide range of qualitative data formats (e.g., interview transcripts, focus group transcripts, survey spreadsheets, etc). On Day Two you will learn how to organize and explore your material, use advanced queries, identify relationships and use charts to show patterns in your information. Time will be provided on both days of the Workshop for participants to work with their own data.

Please note this course is designed for NVivo 11 for Windows users (and not NVivo for Mac users). NVivo for Mac has different features and cross platform limitations.

Because these materials are presented sequentially and build upon the basics presented at the beginning of each day, participants need to arrive on time, attend all sessions and must bring a USB key to save work.

5) Introduction to Structural Equation Modeling (SEM)

Instructor: Professor Robert Cribbie

Dates: Tuesdays, October 25, November 1 & 8, 2016

Time: 8:30am – 11:30am

Location: Room 159 (Hebb Lab), Behavioural Sciences Building (BSB)

Enrolment Limit: 20

Course Description: This course will provide an introduction to the theory of SEM, developing models, evaluating the fit of models, testing the significance of model parameters and performing model modification. Examples will include path analysis, confirmatory factor analysis, general latent models and growth curve models. 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 role 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.

Course Fees

All fees include HST.

For external participants, the lab access fee of $33.90 has been included.

For York students (with FAS account), the fees are:

An Introduction to SAS for Windows $90.40
An Applied Introduction to SPSS $90.40
Advanced  Research Design Seminar $90.40
An NVivo 11 for Windows Workshop $90.40
Introduction to Structural Equation Modeling $90.40

 

For York faculty and staff, the fees are:

An Introduction to SAS for Windows $198.88
An Applied Introduction to SPSS $198.88
Advanced  Research Design Seminar $198.88
An NVivo 11 for Windows Workshop $198.88
Introduction to Structural Equation Modeling $198.88

Full-time students at other post-secondary institutions,
the fees per course are:

An Introduction to SAS for Windows $192.10
An Applied Introduction to SPSS $192.10
Advanced  Research Design Seminar $158.20
An NVivo 11 for Windows Workshop $214.70
Introduction to Structural Equation Modeling $152.55

 

For external participants, the fees per course are:

An Introduction to SAS for Windows $431.66
An Applied Introduction to SPSS $431.66
Advanced  Research Design Seminar $397.76
An NVivo 11 for Windows Workshop $395.50
Introduction to Structural Equation Modeling $332.22

 

All participants, Certificate of Completion: $5.65 each

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.

Registration

You can register for courses by completing the on-line registration form, which is date-stamped.

 

You can register in person (weekdays, from 10:00am to 12:00pm or 2:00pm to 4:00pm), please see:

Betty Tai
Room 5075, Victor Phillip Dahdaleh Building (Formerly TEL Building)

To register by mail, print a blank registration form, complete, and send to:

Betty Tai
Institute for Social Research
Room 5075
Victor Phillip Dahdaleh Building (Formerly TEL 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 applies, for each certificate requested.

Instructors

Ryan Barnhart is a PhD candidate in Psychology at York University with the specialization in Quantitative Methods. His research interests and statistical work have focused on longitudinal data analysis using multilevel modeling and generalized linear multilevel modeling. This work has helped Ryan to develop a multi-platform approach to using statistical software, including SAS, STATA, R and SPSS.

Alyssa Counsell is a doctoral candidate in the Quantitative Methods program in Psychology. Her research interests include equivalence testing, robust statistics, measurement invariance, structural equation modeling, and pedagogical methods for improving statistical knowledge in applied psychological research. She is currently an SCS TA with proficiency in both SPSS and R.

Robert Cribbie is a Professor in the Department of Psychology at York University and Joint Coordinator of the Institute for Social Research’s Statistical Consulting Service. He received his PhD in Quantitative Psychology from the University of Manitoba. His research interests include multiple comparison procedures, robust ANOVA strategies, and equivalence testing.

Bryn Greer-Wootten is Professor Emeritus in Environmental Studies and Geography at York University. In 2002 he joined the staff of the Statistical Consulting Service, where he is currently an Associate Coordinator, and in 2004 was appointed an Associate Director of ISR. He has taught and carried out quantitative and qualitative research, with a particular interest in survey research, especially for environmental and social policy, for over fifty years.

Stella Park joined ISR in 2014 as a Project Manager. She has over 10 years of experience in conducting both quantitative and qualitative research projects at the local, provincial, and international levels, on a diverse range of topics, including health, education, employment, and the non-profit sector. At ISR, she is currently managing the YouthREX (qualitative) research project, CAMH’s Ontario Student Drug Use and Health Survey, CAMH’s Monitor Survey, and the SSHRC-funded Second-generation Employment project.

Additional Information

Any questions? Contact Information

Additional information regarding registration, contact Institute for Social Research (ISR) by telephone 416-736-5061, weekdays, from 10:00am to 12:00pm or 2:00pm to 4:00pm

Directions to York University (Keele Campus), building and parking lot locations

Additional information on parking