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 Psychology, Mathematics and Statistics and Geography, and the School of Kinesiology and Health Science, in conjunction with full-time professional staff at ISR. The faculty and staff have extensive experience with many forms of statistical analysis. Topics for which assistance is available include regression analysis, multivariate analysis, analysis of categorical data, structural equation modeling, factor analysis, multilevel/mixed 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 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 Short Courses

SCS SHORT COURSES

An Introduction to R and the Tidyverse

Instructor: Mark Adkins, MA
Course Dates: Fridays, January 24 and 31, February 7 and 14, 2020
Course Time: 10:30am – 1:30pm
Course Location: 159 Behavioural Sciences Building (Hebb Computer Lab)
Enrolment Limit: 20
Enrolment Minimum: At least five (5) registrants are required in order to hold the course.

Course description:  R is an independent open source statistical software package that is of value for its wide-ranging pre-programmed statistical procedures and capacity for programming tailored statistical analyses. Also, R is invaluable for generating informative high-quality graphics.

This course is a step-by-step hands-on introduction to R. No familiarity with R is assumed, but participants will need a basic working knowledge of statistics. Participants will learn how to: 1) install R on their computers; 2) enter, import, and manipulate data; and 3) carry out basic mathematical, statistical and graphical operations and procedures in R. Much of this course will be structured around a collection of packages called the tidyverse (www.tidyverse.org), which contains all of the tools necessary to learn R more easily and quickly. Upon completion of this course, participants will be comfortable with, and able to do, basic statistical work in R. Additionally, they will be familiar with resources for follow-up help and learning about R.

NOTE: Even though this course is held in a computer lab, it is strongly recommended that participants bring their own laptops to install the R package: this will simplify installation initially and participants will then have the program to take home!

Click here for course materials.

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

Because this material is presented sequentially and builds upon the basics presented at the beginning of each class, course participants need to arrive on time and attend the entire session.

About the Instructor: Mark Adkins is a doctoral candidate in Quantitative Methods in the Psychology Department at York University and a TA in SCS. He has years of experience as a statistical/programming tutor and has the ability to help students master complicated material regardless of their stage in the learning process.

Using Computers in Qualitative Analysis: An NVivo 12 for Windows Workshop

Instructor: Stella Park, MA
Course Dates and Times:
Friday February 7, 2020 9:30am-noon; 12:30-3:30pm
and Monday February 10,2020 9:30am-noon; 12:30-2:30pm
Course Location: Room 2004, Victor Phillip Dahdaleh Building
Enrolment Limit: 20
Enrolment Minimum: At least five (5) registrants are required in order to hold the course.

Course description:  This hands-on Workshop will provide both a basic and advanced introduction to NVivo 12 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 of this two-day (note: both morning and afternoon) course 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, web content, etc.).

On Day Two you will learn how to organize and explore your material, use advanced queries, identify relationships, use models and charts to show patterns in your information, and create reports. Time will be provided on both days of the Workshop for participants to work with their own data, and the Instructor will respond to questions related to your specific projects.

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

Because this material is presented sequentially and builds upon the basics presented at the beginning of each class, course participants need to arrive on time and attend the entire session.

About the Instructor:  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 CAMH’s Ontario Student Drug Use and Health Survey and the Second-generation Employment survey.

R Graphics for Data Analysis

Instructor: Professor Phil Chalmers
Dates:  Mondays, February 24 and March 2, 2020
Times: 2:30-5:30pm
Location: 159 Behavioural Sciences Building (Hebb Computer Lab)
Enrolment Limit: 20 
Enrolment Minimum: At least five (5) registrants are required in order to hold the course.

Course Description:  One of R’s most prominent features is its flexibility in generating graphical output using either the default packages that ship with the software (e.g., the graphics and stats packages) or by user-contributed package extensions. One popular and powerful package extension found in R’s graphic generating ecosystem is the ggplot2 package. This R package provides high-level and flexible plotting utilities for presenting empirical data, using a well organized and intuitive framework for translating aesthetic presentation mapping rules into meaningful visual representations of data.

In this workshop, we will explore a small set of focused tools that R has to offer for creating and customizing statistical graphics. First, a brief introduction to the base and grid graphics frameworks will be presented, while the remainder of the workshop will utilize the ggplot2 plotting framework. It is recommended that participants have some familiarity with the R software, but an intermediate understanding of the language is sufficient for our purposes.

NOTE: Even though this course is held in a computer lab, it is strongly recommended that participants bring their own laptops with the R package already installed.

About the Instructor: Phil Chalmers is an Assistant Professor at York University in the Department of Psychology in the Quantitative Methods area and an Associate Coordinator in the Statistical Consulting Service. He is an author of multiple R packages hosted on CRAN (e.g., mirt, mirtCAT, SimDesign, matlib), and focuses on research pertaining to psychological measurement, latent variable modeling and computational statistics.

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

Because this material is presented sequentially and builds upon the basics presented at the beginning of each class, course participants need to arrive on time and attend the entire session.

Course Fees

All fees include HST.

York students (with FAS account)
  • Introduction to R & the Tidyverse … $122.04
  • Using Computers in Qualitative Analysis: An NVivo Workshop … $226.00
  • R Graphics for Data Analysis … $61.02
York faculty and staff
  • Introduction to R & the Tidyverse … $271.20
  • Using Computers in Qualitative Analysis: An NVivo Workshop … $452.00
  • R Graphics for Data Analysis … $135.60
Full-time students at other post-secondary institutions

For non-York students, a lab access fee has been included.

  • Introduction to R & the Tidyverse … $246.34
  • Using Computers in Qualitative Analysis: An NVivo Workshop … $372.90
  • R Graphics for Data Analysis … $128.82
External participants

For external participants, a lab access fee has been included.

  • Introduction to R & the Tidyverse … $531.10
  • Using Computers in Qualitative Analysis: An NVivo Workshop … $711.90
  • R Graphics for Data Analysis … $271.20

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.

Certificate of Completion

Available on request, full attendance is required.
A $5.65 administrative fee applies, for each certificate requested.

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 (DB)

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 (DB)

York University
4700 Keele Street
Toronto, ON M3J 1P3
Canada

You may also fax a completed registration form to: 416-736-5749.

Additional Information

Additional information regarding registration, contact Institute for Social Research (ISR) by telephone at 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.