Qualitative Data Analysis Services

Qualitative Data Analysis Services Overview

Qualitative Data Analysis

Qualitative Data Analysis (QDA) is the process of understanding and interpreting non-numerical data throughout the research lifecycle—from data collection and organization to analysis, interpretation, and dissemination. Qualitative data can take many forms such as texts, images, symbols and each type of data often require different methods for its analysis. It is one of the essential components of research methodology in disciplines such as the Social Sciences and Humanities, and can offer nuanced insights, and perspectives. 

McMaster Library’s qualitative data analysis service is available to students, researchers and faculty for consultations and assistance with a variety of topics including:

  • General consulting on qualitative research design and analysis needs.
  • Assistance in developing appropriate qualitative methodologies and selecting appropriate analytical frameworks.
  • Advising on issues related to qualitative data organization, coding, and management.
  • Assisting with qualitative analysis software. Currently we offer support for open source QDA software such as QualCoder and Taguette.
  • Providing instructional workshops for undergraduate and graduate classrooms tailored to specific disciplines and needs. Examples include developing appropriate coding schemes, introduction to specific software etc.

Schedule an Appointment

Schedule an Appointment

Use this link to book a consultation to talk about your research project, questions about software or instructional workshops.

Resources

Research Methodology Toolkits

Basic Qualitative Toolkit

All the basics from how to think about collecting data with different groups, the perspective you as the researcher bring, and the decisions that shape data collection experiences to resources on interviews, focus groups, surveys and observation, plus resources for analysis.

Empowerment, Equity, and Community Engagement

This toolkit pushes beyond the basics of qualitative research and invites the researcher to think about their subjectivity, as well as practical and creative options for participatory and collaborative research practices. 

Addressing Complexity and Systems Thinking

Both in qualitative and quantitative research traditions, there is a recognition that some systems of interest are not consistent, linear, or well-behaved. Here are resources for understanding complex interconnected phenomena and dynamic issues or systems. These methods and case studies look beyond linear patterns to look at reflexive relationships, system dynamics and more.