Learn Qualitative Data Analysis

Open coding, axial coding, and selective coding are all steps in the grounded theory method of analyzing qualitative data.

Discourse analysis is a qualitative research method that goes beyond analyzing words and sentences, establishing a deeper context about how language is used to engage in actions and form social identity. 

Abductive coding is a flexible qualitative data analysis technique combining aspects of inductive and deductive methodology.

Interpretive Phenomenological Analysis (IPA) is a qualitative research methodology that explores how individuals make sense of their experiences. 

Mixed methods research is the combination and integration of the components of qualitative and quantitative research methods in a single study.

Qualitative phenomenological research design is a qualitative research technique that seeks to understand the essence of a phenomenon by studying lived experiences at a conscious level.

Program evaluation is the systematic assessment of a program to determine the extent to which it achieves its intended goals and objectives.

Participatory Action Research (PAR) is an approach to research involving researchers and participants collaborating to understand social issues and promote positive change.

Researchers use narrative analysis to understand how research participants construct story and narrative from their own personal experience.

Directed content analysis (DQICA) is a deductive approach to qualitative analysis where you start with an existing theory or framework and utilize data to either support or build upon that framework.

A codebook for qualitative research contains a list of the codes that you will use in your qualitative analysis research.

An unstructured interview is a type of interview in which the questions or the order in which they are asked are predetermined.

A semi-structured interview is a data collection method that combines the elements of structured and unstructured interviews.

Qualitative observation is a research method in which researchers collect data using their sensory organs, eyes, nose, tongue, ear, and skin.

Qualitative Comparative Analysis (QCA) is a research methodology used in analyzing multiple cases in complex situations.

After conducting interviews, you may need transcripts of your audio files in order to analyze and find insights. Here’s a chart to see various options.

Exploring the differences between grounded theory and qualitative content analysis helps you choose the right approach for your research.

Learn about ethnographic content analysis, a qualitative research method that’s ideal for digging into the more complicated parts of how societies and cultures work.

This article answers a frequent question from new researchers: Is content analysis qualitative or quantitative?

This guide introduces qualitative content analysis and covers many types of qualitative content analysis. We also provide a step-by-step guide for how to conduct qualitative content analysis.

Inductive content analysis is a flexible analytical technique to generate new theories, while deductive content analysis is a more structured method to verify or test preexisting research.

This article identifies, defines, and explains the various representations of thematic content analysis throughout the formative literature on qualitative research.

Clarifying the difference between thematic analysis and the common forms of qualitative content analysis—and offer researchers a rational way to match the purpose of their intended study with the appropriate method of data analysis.

Relational content analysis is a qualitative research method that begins by counting the frequency of a concept within textual documents in order to analyze the underlying relationships between them.

Conceptual content analysis is a qualitative research method that uses word frequency to analyze the consistency or regularity of certain notions or ideas that are represented within the text.

Summative content analysis in qualitative research involves identifying essential keywords, counting occurrences across textual sources, and then reading them over to offer a final write-up.

Conventional content analysis is an inductive approach to qualitative content analysis in which you develop codes and categories from your data instead of applying preexisting categories or theories.

Within qualitative content analysis, two of the prototypical methods of research are qualitative manifest content analysis and qualitative latent content analysis. This article explores both approaches in detail.

In qualitative analysis, bracketing is the suspension of judgment by the researcher in order to avoid their own biases from entering the study.

An analyst’s perspective or beliefs impact research outcomes, making reflexivity vital in qualitative research.

Framework analysis is a qualitative method uniquely suited for applied research. It allows researchers to explain what occurred in a specific setting.

Negative case analysis involves finding and discussing contradictory data emerging from your working hypothesis or theory.