Research Design & Analysis Workshops

Education Commons offers a variety of Research Design and Analysis workshops led by Ontario Institute for Studies in Education (OISE) statistical consultant Olesya Falenchuk. 

The Research Design & Analysis Workshops aim to help participants achieve specific learning outcomes. These outcomes may include:

  • developing design and methodology for graduate theses and research projects;
  • developing and validation of surveys, questionnaires and measurement scales;
  • conducting qualitative and quantitative data analysis;
  • communicating results (including tables, charts, and graphs) for research reports and peer-reviewed publications.

Registrations are now open for workshops from Fall 2024 to Spring 2025 in the following areas:

Registration Details

Workshop Information

  • Synchronous workshops are held on Zoom from 9:30 am to 12:30 pm EST.  
  • Customized workshops can be offered to research groups of five or more people. 
    • SAS, Stata, SPSS, Amos, HLM, NVivo, Atlas.ti.
  • No refunds. Cancellations with 48 hours notice can be rescheduled to a future date at no charge.
  • If you have any questions related to workshops or payments, please contact us at oise.researchworkshops@utoronto.ca or (416) 978-1956.

Workshop Fees

RegistrantFee
U of T Students$80.00
Non-U of T Students$100.00
U of T Faculty and Staff$100.00
External Faculty/Staff/Affiliates$200.00

Qualitative Data Analysis

Dedoose is a cloud-based software for analysis of qualitative and mixed data, such as transcripts of in-depth interviews, focus groups and field notes, data from electronic web surveys, audio, and video data. The web-based nature of this software allows collaborations of the researchers across different platforms (PC and Mac) in real time.

The purpose of this workshop is to introduce participants to Dedoose software, discuss the key points for efficient use and teamwork, as well as to provide participants with an opportunity to acquire some hands-on experience. Specifically, the participants will learn how to link their data to Dedoose, code qualitative data, manage quantitative data, and explore the patterns and trends in the findings with a variety of visual tools.

This workshop is appropriate for beginner researchers with no previous knowledge of Dedoose as well as those who would like to expand their knowledge and skills with this software.


Qualitative and Mixed Data Analysis with Dedoose Workshops:
YearWorkshop Dates
2024
  • July 17, 2024
  • September 24, 2024
  • November 06, 2024
2025
  • January 28, 2025
  • March 12, 2025

NVivo 12 is a software package for analysis of qualitative data, such as transcripts of in-depth interviews, focus groups and field notes, data from electronic web surveys, audio, video, and social media data.

The purpose of this workshop is to introduce participants to the NVivo 12 Suite, discuss the key differences between different versions of this software, as well as to provide participants with an opportunity to acquire some hands-on experience. Specifically, the participants will learn how to prepare their text and media data for analyses with NVivo 12, import and organize their data in NVivo, add research notes while analyzing the data, and code qualitative data in a variety of different ways.

This workshop is appropriate for beginner researchers with no previous knowledge of NVivo as well as those who would like to expand their knowledge and skills with this software.


Qualitative Data Analysis with NVIVO 12 – Part 1 Workshops:
YearWorkshop Dates (Apple / Macintosh - MAC)Workshop Dates (Windows)
2024
  • June 12, 2024
  • July 30, 2024 
  • October 02, 2024 
  • November 26, 2024 
  • June 11, 2024
  • July 24, 2024
  • October 01, 2024
  • November 20, 2024
2025
  • February 05, 2025 
  • April 01, 2025
  • February 04, 2025
  • March 26, 2025

The purpose of this workshop is to introduce participants to the more advanced features of NVivo 12 as well as to provide participants with an opportunity to acquire some hands-on experience with this software. Specifically, the participants will learn how to explore their findings with various types of queries, build mind and concept maps, graph their data and prepare reports in NVivo 12.

This workshop is appropriate for researchers with limited knowledge of NVivo 12 as well as those who would like to expand their knowledge of its capabilities.

Taking NVivo Part 1 workshop is strongly recommended for those who consider attending this workshop.


Qualitative Data Analysis with NVIVO 12 – Part 2 Workshops:
YearWorkshop Dates (Apple / Macintosh - MAC)Workshop Dates (Windows)
2024
  • June 25, 2024
  • August 28, 2024
  • October 15, 2024
  • December 04, 2024
  • June 19, 2024
  • August 27, 2024
  • October 09, 2024
  • December 03, 2024
2025
  • February 18, 2025
  • April 09, 2025
  • February 12, 2025
  • April 08, 2025

The focus of this workshop is the management and analysis of audio, video and survey data in NVivo.

Many researchers these days collect their data through online survey tools like Survey Monkey, Fluid Surveys and Survey Wizard. These surveys often include a mixture of quantitative and qualitative (open ended) responses. NVivo offers a set of tools for analyses of such data.

The purpose of this workshop is to introduce participants to the features of NVivo software that allow analyzing survey data in an efficient and convenient way. In addition, the participants will learn how to transcribe and code media data in NVivo.

This workshop is appropriate for researchers with limited knowledge of NVivo 12 as well as those who would like to expand their knowledge of its capabilities.

Taking NVivo Part 1 and 2 workshops is strongly recommended for those who consider attending this workshop.


Qualitative Data Analysis with NVIVO 12 – Part 3 Workshops:
YearWorkshop Dates (Apple / Macintosh - MAC)Workshop Dates (Windows)
2024
  • July 03, 2024
  • September 10, 2024
  • October 23, 2024
  • July 02, 2024
  • September 04, 2024
  • October 22, 2024
2025
  • January 14, 2025
  • February 26, 2025
  • April 22, 2025
  • January 08, 2025
  • February 25, 2025
  • April 16, 2025

Quantitative Data Analysis - SPSS

The focus of this workshop to introduce researchers to the SPSS syntax mode and its effective use and to give them hands-on experience with a wide range of data cleaning and data management functions, and data transformation techniques.

By the end of this workshop the participants will be equipped with the tools to enter or import their data into SPSS, organize the data dictionary/codebook, and prepare the data for further analyses.

This workshop will benefit SPSS novices as well as researchers who want to learn about more effective uses of the program features.


Quantitative Data Analysis with SPSS – Part 1 - Syntax & Data Management Workshops:
YearWorkshop Dates
2024
  • June 18, 2024
  • July 31, 2024
  • October 08, 2024
  • November 27, 2024
2025
  • February 11, 2025
  • April 02, 2025

This course will guide the participants through the fundamentals of using SPSS for exploratory data analysis.

Participants will learn the basics of exploratory data analysis with SPSS for examination of single variables and pairs of variables, and formatting and exporting SPSS outputs for the effective presentation of results. The basics of using SPSS will be demonstrated and discussed.

This workshop is appropriate for researchers who have some experience with SPSS, but want to learn about its capabilities and effective use.


Quantitative Data Analysis with SPSS – Part 2 - Exploratory Data Analysis Workshops:
YearWorkshop Dates
2024
  • June 26, 2024
  • September 03, 2024
  • October 16, 2024
2025
  • January 07, 2025
  • February 19, 2025
  • April 15, 2025

The General Linear Model (GLM) is a flexible statistical tool underlying most statistical techniques used in educational and social research: t-tests, Analysis of Variance (ANOVA), Analysis of Covariance (ANCOVA), repeated-measures ANOVA and many of the multivariate methods.

This workshop will briefly introduce the main concepts of general linear models, application of these models to social research data and interpretation of the results. A wide range of GLMs will be illustrated with many examples.

The focus of this workshop is the practical application of GLMs using SPSS with minimal emphasis on statistical theory. Participants are expected to have working knowledge of SPSS and statistics.


Quantitative Data Analysis with SPSS – Part 3 - The General Linear Model (GLM) Workshops:
YearWorkshop Dates
2024
  • July 09, 2024
  • July 23, 2024
  • September 11, 2024
  • September 25, 2024
  • October 29, 2024
2025
  • January 15, 2025
  • January 29, 2025
  • March 04, 2025
  • April 23, 2025

This workshop will discuss and review a variety of aspects of multiple regression analysis including the formulation of regression problems, interactions, dummy variables, methods of selecting predictors, checking assumptions, estimating model coefficients, collinearity issues and residual analysis.

The main focus of this workshop is practical, with an emphasis on running multiple regression analyses using SPSS and interpreting the results from SPSS output.


Quantitative Data Analysis with SPSS – Part 4 - Regression Analysis Workshops:
YearWorkshop Dates
2024November 12, 2024
2025March 18, 2025

The focus of this workshop is discussion and review a variety of aspects of binary logistic regression, ordinal regression and multinomial regression analyses as well as performance of these analyses in SPSS and interpretation of the results.

Issues discussed include assumption checking and diagnostics, interactions, methods of selecting predictors, estimation of model coefficients, collinearity issues and residual analysis.


Quantitative Data Analysis with SPSS – Part 5 - Other Regression Workshops:
YearWorkshop Dates
2024November 13, 2024
2025March 19, 2025

The course will guide participants through the fundamental concepts of principal component analysis (PCA) and exploratory factor analysis (EFA).

Participants will learn about conceptual and analytic similarities and differences, as well as the applications of the PCA and EFA techniques. This workshop offers hands-on experience on running SPSS analyses for these techniques and on interpreting the SPSS outputs.

It is appropriate for researchers who have some experience with SPSS, but want to expand their knowledge of using this software for running advanced statistical analyses.


Quantitative Data Analysis with SPSS – Part 6 - PCA & EFA Workshops:
YearWorkshop Dates
2024November 19, 2024
2025March 25, 2025

Quantitative Data Analysis - Stata

The focus of this workshop is to introduce researchers to the Stata syntax mode and its effective use, and to give them hands-on experience with a wide range of transformation techniques and helpful data management features, including ways to automate their work with quantitative data, manipulate their data files and results, and export outputs to other computer programs.

This workshop will benefit Stata novices as well as researchers who want to learn about more effective uses of the program features.


Introduction to Stata Workshops:
YearWorkshop Dates
2024
  • July 16, 2024
  • September 18, 2024
  • November 05, 2024
2025
  • January 22, 2025
  • March 11, 2025

Other Data Analysis Tools

The focus of this workshop is to introduce researchers to the R platform and its effective use, and to give them hands-on experience with a wide range of data cleaning and data management functions, and data transformation techniques.

By the end of this workshop the participants will be equipped with the tools to enter or import their data into R, organize the data dictionary/codebook, and prepare the data for further analyses. This workshop will benefit R novices as well as researchers who want to learn about more effective uses of the program features.


Introduction to R Workshops:
YearWorkshop Dates
2024
  • July 10, 2024
  • September 17, 2024
  • October 30, 2024
2025
  • January 21, 2025
  • March 05, 2025