Saturday, May 26, 2018

Qualitative Data Analysis and Quality Control: An Intermediate Level Workshop


Qualitative data analysis and quality control in program evaluations often lack rigour, leading to qualitative findings being discredited or used inappropriately. In this context, the workshop will present intermediate-level techniques to increase both the quality and usefulness of qualitative data. With exercises and examples of good and poor practice, the following will be covered: Systematization of data coding and analysis using accessible spreadsheet software; Matrix and narrative analysis techniques; Pros and cons of proportion analyses; Developing meaningful streamlined summaries; Combining multiple lines of evidence; and key quality control techniques throughout qualitative data planning, collection, analysis and reporting. While the methods will be applicable to most qualitative methods, the workshop will focus on semi-directed interviews.

Learning Objectives:

  • How to conduct data coding and analysis systematically using common spreadsheet software
  • How to conduct qualitative analyses using multiple lines of evidence
  • How to develop powerful and robust summaries, and how to apply ongoing quality control techniques


Simon Roy | Benoit Gauthier | Natalie Kishchuk

Simon, Benoit and Natalie cumulate more than 80 years of evaluation experience and have extensive qualitative research experience. They teach program evaluation in academic settings (Canadian Universities). They have presented multiple workshops for CES. Benoit and Simon have contributed to a textbook on social research methods that includes qualitative research methods. Natalie, Benoit and Simon have all published articles in refereed journals.


Schedule | Saturday, May 26 from 12:00 pm to 4:00 pm

Language | English

Level | Intermediate

Prerequisites | Participants must have basic knowledge in qualitative analyses, as well as basic knowledge of how typical spreadsheet software operates.