Research Design & Analysis Workshops 

Quantitative and Qualitative Data Analysis + Structural Equation Modelling Software

Spring/Summer Offerings:
Qualitative Data Analysis: NVivo
Quantitative Data Analysis: SPSS  | SAS | STATA
Structural Equation Modeling: AMOS| STATASStructural Equation Modelling: AMOS

Instructor for NVivo, SPSS, Stata: Olesya Falenchuk
Instructor for SAS, AMOS: Monique Herbert

Check the EC Calendar for a monthly schedule of events and workshops.

Spring 2012

Qualitative Data Analysis

NVivo

NVivo

Location | Payment

Qualitative Data Analysis with NVivo - Part I

NVivo 9 is a software package for analysis of qualitative data, such as transcripts of in-depth interviews, focus groups and field notes. The purpose of this workshop is to introduce participants to the NVivo 9 workspace, giving an overview of its key features, 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 9, transcribe media data, create and apply various types of coding to text data. This workshop is appropriate for researchers with limited knowledge of NVivo 9 as well as those who would like to expand their knowledge of its capabilities.
 

Qualitative Data Analysis with NVivo - Part II

The purpose of this workshop is to introduce participants to the more advanced features of NVivo 9 workspace 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 run various types of queries, build models, graph their data and prepare reports in NVivo 9. This workshop is appropriate for researchers with limited knowledge of NVivo 9 as well as those who would like to expand their knowledge of its capabilities. 
 

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Quantitative Data Analysis

SPSS | SAS| STATA | SAS

SPSS 

Location | Payment

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.
 

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 data clean-up and manipulation, 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.
 

SAS 

Location | Payment

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.

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.
 

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Structural Equation Modelling

AMOS 

Location | Payment

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.
 

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Location

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

Payment

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 Reception Desk, located at OISE, 252 Bloor Street West, 3rd floor. 

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

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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.
 

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.
 

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Payment

Quantitative Data Analysis with Stata - Part I

The focus of this workshop is two-fold: 1) to introduce researchers to Stata 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 Stata novices as well as researchers who want to learn about more effective uses of the program features.
 

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.
 

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.
 

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. as researchers who want to learn about more effective uses of the program features.
 

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 Payment