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Education Commons at OISE

Research Design & Analysis Workshops 

Quantitative and Qualitative Data Analysis

 

Available Spring 2017 Workshops:

Qualitative Data Analysis: Dedoose

Qualitative Data Analysis: NVivo

Quantitative Data Analysis: SPSS

 

Workshops by Request:

Quantitative Data Analysis: Stata

Quantitative Data Analysis: SAS

Structural Equation Modelling: AMOS

Surveys: Survey Monkey

 

Qualitative Data Analysis

Qualitative and Mixed Data Analysis with Dedoose

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.
 

Date Time Location Fee*

Sep 28, 2017

 

9:30am - 12:30pm 3rd fl. Computer Labs $60 for OISE students and faculty - Register 
$115 for all other participants - Register        

Oct 26, 2017

 

9:30am - 12:30pm 3rd fl. Computer Labs
$60 for OISE students and faculty - Register
$115 for all other participants - Register

Nov 23, 2017

 

9:30am - 12:30pm 3rd fl. Computer Labs $60 for OISE students and faculty - Register 
$115 for all other participants - Register   

Dec 14, 2017

 

9:30am - 12:30pm 3rd fl. Computer Labs
$60 for OISE students and faculty - Register
$115 for all other participants - Register

 

 

Qualitative Data Analysis with NVivo - Part I

NVivo 11 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 11 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 11, 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.
 

Date Time Location Fee*

Sep 07, 2017

9:30am - 12:30pm 3rd fl. Computer Labs $60 for OISE students and faculty - Register
$115 for all other participants - Register        

Oct 05, 2017

 

9:30am - 12:30pm 3rd fl. Computer Labs
$60 for OISE students and faculty - Register
$115 for all other participants - Register

Nov 02, 2017

 

9:30am - 12:30pm 3rd fl. Computer Labs $60 for OISE students and faculty - Register 
$115 for all other participants - Register

Nov 30, 2017

 

9:30am - 12:30pm 3rd fl. Computer Labs
$60 for OISE students and faculty - Register
$115 for all other participants - Register

 

Qualitative Data Analysis with NVivo - Part II

The purpose of this workshop is to introduce participants to the more advanced features of NVivo 11 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 11. This workshop is appropriate for researchers with limited knowledge of NVivo 11 as well as those who would like to expand their knowledge of its capabilities. Taking NVivo Part I workshop is strongly recommended for those who consider attending this workshop.

 

Date Time Location Fee*

Sep 14, 2017

 

9:30am - 12:30pm

3rd fl. Computer Labs $60 for OISE students and faculty - Register
$115 for all other participants - Register        

Oct 12, 2017

 

9:30am - 12:30pm 3rd fl. Computer Labs
$60 for OISE students and faculty - Register
$115 for all other participants - Register

Nov 09, 2017

 

9:30am - 12:30pm 3rd fl. Computer Labs $60 for OISE students and faculty - Register 
$115 for all other participants - Register 

Dec 07, 2017

 

9:30am - 12:30pm 3rd fl. Computer Labs
$60 for OISE students and faculty - Register
$115 for all other participants - Register

 

Qualitative Data Analysis with NVivo - Part III

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 11 as well as those who would like to expand their knowledge of its capabilities. Taking NVivo Part I workshop is strongly recommended for those who consider attending this workshop.

 

Date Time Location Fee*

Sep 21, 2017

 

9:30am - 12:30pm 3rd fl. Computer Labs $60 for OISE students and faculty - Register 
$115 for all other participants - Register        

Oct 19, 2017

 

9:30am - 12:30pm 3rd fl. Computer Labs
$60 for OISE students and faculty - Register
$115 for all other participants - Register

Nov 16, 2017

 

9:30am - 12:30pm 3rd fl. Computer Labs $60 for OISE students and faculty - Register 
$115 for all other participants - Register 
- - - -

 

 

 

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Quantitative Data Analysis

Quantitative Data Analysis with SPSS - Part I

The focus of this workshop is two-fold: 1) to introduce researchers to the SPSS syntax mode and its effective use; and 2) to give them hands-on experience with a wide range of transformation techniques and helpful data management features, 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 SPSS novices as well as researchers who want to learn about more effective uses of the program features.

Date Time Location Fee*

Sep 06, 2017

9:30am - 12:30pm 3rd fl. Computer Labs $60 for OISE students and faculty - Register 
$115 for all other participants - Register        

Oct 04, 2017

 

9:30am - 12:30pm 3rd fl. Computer Labs
$60 for OISE students and faculty - Register
$115 for all other participants - Register

Nov 01, 2017

 

9:30am - 12:30pm 3rd fl. Computer Labs $60 for OISE students and faculty - Register 
$115 for all other participants - Register 

Nov 29, 2017

9:30am - 12:30pm 3rd fl. Computer Labs
$60 for OISE students and faculty - Register
$115 for all other participants - Register

 

Quantitative Data Analysis with SPSS - Part II

The course will guide participants through the fundamentals of using SPSS for exploratory data analysis. Participants will learn the basics of exploratory data analysis 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.

Date Time Location Fee*

Sep 13, 2017

 

9:30am - 12:30pm

3rd fl. Computer Labs $60 for OISE students and faculty - Register 
$115 for all other participants - Register        

Oct 11, 2017

 

9:30am - 12:30pm 3rd fl. Computer Labs
$60 for OISE students and faculty - Register
$115 for all other participants - Register

Nov 08, 2017

 

9:30am - 12:30pm 3rd fl. Computer Labs $60 for OISE students and faculty - Register 
$115 for all other participants - Register 

Dec 06, 2017

9:30am - 12:30pm 3rd fl. Computer Labs
$60 for OISE students and faculty - Register
$115 for all other participants - Register

 

Quantitative Data Analysis with SPSS - Part III

The General Linear Model (GLM) is a flexible statistical tool underlying most statistical techniques used in educational and social research: t-test, 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.

Date Time Location Fee*

Sep 20, 2017

 

9:30am - 12:30pm 3rd fl. Computer Labs $60 for OISE students and faculty - Register 
$115 for all other participants - Register        

Nov 15, 2017

 

9:30am - 12:30pm 3rd fl. Computer Labs
$60 for OISE students and faculty - Register
$115 for all other participants - Register
- - - -

 

Quantitative Data Analysis with SPSS - Part IV

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.

Date Time Location Fee*

Sep 27, 2017

 

9:30am - 12:30pm 3rd fl. Computer Labs $60 for OISE students and faculty - Register 
$115 for all other participants - Register        

Nov 22, 2017

 

9:30am - 12:30pm 3rd fl. Computer Labs
$60 for OISE students and faculty - Register
$115 for all other participants - Register
- - - -

 

Quantitative Data Analysis with SPSS - Part V

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.

Date Time Location Fee*

Oct 18, 2017

 

9:30am - 12:30pm 3rd fl. Computer Labs $60 for OISE students and faculty - Register 
$115 for all other participants - Register     

 

Quantitative Data Analysis with SPSS - Part VI

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

Date Time Location Fee*

Oct 25, 2017

 

9:30am - 12:30pm 3rd fl. Computer Labs $60 for OISE students and faculty - Register 
$115 for all other participants - Register        

Dec 13, 2017

9:30am - 12:30pm 3rd fl. Computer Labs
$60 for OISE students and faculty - Register
$115 for all other participants - Register
- - - -


 

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Quantitative Data Analysis

Quantitative Data Analysis with Stata - Part I

The focus of this workshop is two-fold: 1) to introduce researchers to the STATA syntax mode and its effective use; and 2) to give them hands-on experience with a wide range of transformation techniques and helpful data management features, 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.

Date Time Location Fee*
- - -
-

 

Quantitative Data Analysis with Stata - Part II

The course will guide participants through the fundamentals of using STATA for exploratory data analysis. Participants will learn the basics of exploratory data analysis for examination of single variables and pairs of variables, and formatting and exporting STATA outputs for the effective presentation of results. The basics of using STATA will be demonstrated and discussed. This workshop is appropriate for researchers who have some experience with STATA, but want to learn about its capabilities and effective use.

Date Time Location Fee*
- - -
-

 

Quantitative Data Analysis with Stata - Part III

The General Linear Model (GLM) is a flexible statistical tool underlying most statistical techniques used in educational and social research: t-test, 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 STATA with minimal emphasis on statistical theory. Participants are expected to have working knowledge of STATA and statistics.

Date Time Location Fee*
- - -
-

 

Quantitative Data Analysis with Stata - Part IV

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 STATA and interpreting the results from STATA output.

Date Time Location Fee*
- - - -

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Quantitative Data Analysis

Quantitative Data Analysis with SAS - Part I

The focus of this workshop is two-fold: 1) to introduce researchers to SAS environment; and 2) to give them hands-on experience with a wide range of transformation techniques and helpful data management features, 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 SAS novices as well as researchers who want to learn about more effective uses of the program features.

Date Time Location Fee*
 - -  - -

 

Quantitative Data Analysis with SAS - Part II

The course will guide participants through the fundamentals of using SAS for exploratory data analysis. Participants will learn the basics of exploratory data analysis for examination of single variables and pairs of variables, and formatting and exporting SAS outputs for the effective presentation of results. The basics of using SAS will be demonstrated and discussed. This workshop is appropriate for researchers who have some experience with SAS, but want to learn about its capabilities and effective use.

Date Time Location Fee*
 - -  - -

 

 

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Other Data Analysis tools

 

Structural Equation Modelling with AMOS - Part I

This workshop introduces students/researchers to (1) the basic concepts of structural equation modeling which is needed in order to understand the features of the AMOS program; (2) the main features of the AMOS program and their application to single group confirmatory factor analysis (CFA). Specifically, students/researchers will learn how to develop and test for first-order and second-order CFA models. This workshop will benefit those students /researchers who are AMOS novices and want to learn how to effectively use the features of the AMOS program.

Date Time Location Fee*
 - -  - -

 

Survey Monkey: Survey design, administration and analysis of responses

The purpose of this workshop is to introduce participants to Survey Monkey, a user-friendly web-based survey tool for doing online surveys. This workshop will first overview the methods and considerations in survey design, and then, walk participants through examples to teach how to create various types of survey questions, administer and manage surveys and collect data using Survey Monkey. The participants will be equipped with skills and confidence to create their own online surveys for collecting research data.
 

Date Time Location Fee*
 -  -   -  -

 

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Location Information

All data analysis workhops are offered at the OISE Building, 252 Bloor St. W, 3rd floor Computer Labs.

 

 

Payment Information

IMPORTANT: Please review our Workshop Policies.

To register and pay online for one or more workshops, please click on the registration links above. If you do not have a credit card, you may pay in person by cash or cheque by visiting the Education Commons Help Desk, located at OISE, 252 Bloor Street West, 3rd floor. 

Any receipts or certificate of attendance inquiry should be sent to:
oise.researchworkshops@utoronto.ca

Inquiry about payment should be sent to:
oise.researchworkshops@utoronto.ca

 

Please note:

* OISE students and faculty have priority for workshop registration.
Other participants may register two weeks prior to a given workshop date.

 


 

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