Research: Data Analysis

Data analysis is the most crucial part of any research. Data analysis summarizes collected data. It involves the interpretation of gathered data through the use of analytical and logical reasoning, to determine patterns, relationships or trends. There are different tools available for different kinds of data analysis, the two main categories being qualitative and quantitative data analysis.


Tools

Qualitative data analysis can be carried out using NVIVO.

How to

NVIVO is currently available free of charge to all UofT researchers.

  1. Fill out the NVIVO software license request form at U of T Libraries.
  2. You will receive your license key and download information within 24hrs.

Training

Workshops and research design consultations are available to OISE researchers on the topics of:

  • 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

Registration for workshops is available online for a nominal fee. (will need to migrate some of the content into WordPress).

Consultations are available with OISE statistical consultant Olesya Falenchuk via olesya.falenchuk@utoronto.ca.


Tools

Quantitative data analysis can be carried out by a variety of software tools, including SPSS, Stata, and SAS.

How to

Purchase of licenses for quantitative data analysis tools can be done by reaching to Education Commons.

Training

Workshops and research design consultations are available to OISE researchers on the topics of:

  • 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

Registration for workshops is available online for a fee.

Consultations are available with OISE statistical consultant Olesya Falenchuk via olesya.falenchuk@utoronto.ca