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.
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Learn how to conduct collaborative qualitative research with online coding tools for effective researcher triangulation, peer debriefing, and intercoder reliability.
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Abductive coding is a flexible qualitative data analysis technique combining aspects of inductive and deductive methodology.
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Interpretive Phenomenological Analysis (IPA) is a qualitative research methodology that explores how individuals make sense of their experiences.
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Mixed methods research is the combination and integration of the components of qualitative and quantitative research methods in a single study.
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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.
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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.
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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.
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Open coding, axial coding, and selective coding are all steps in the grounded theory method of analyzing qualitative data.
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Thematic analysis involves reading through a data set and identifying patterns in meaning across the data.
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