Learn about three widely used qualitative data analysis (QDA) software options: Dedoose, ATLAS.ti, and Delve.
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Learn about three widely used qualitative data analysis (QDA) software options: ATLAS.ti, MAXQDA, and Delve.
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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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This article compares three well-known qualitative data analysis (QDA) software options: NVivo, Dedoose, and Delve.
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This article compares three popular qualitative data analysis (QDA) software options: ATLAS.ti, NVivo, and Delve.
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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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This article explores Delve as a MAXQDA alternative that’s easy to use, affordable, and collaboration-friendly.
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Dedoose is a prevalent CAQDAS (computer-assisted qualitative data analysis software) program, but it can be difficult to learn and use. In contrast, Delve CAQDAS offers a more user-friendly interface, better functionality, and enhanced customer support. This article compares the two popular coding software options.
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Holistic coding is a qualitative approach to data analysis that involves assigning a single code to a data unit, such as a paragraph, transcript, or entire corpus, to capture its overall meaning. This article offers an interpretation of Saldaña's work on holistic coding and a practical guide for applying it to your research.
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Magnitude coding is a coding method where researchers add an alphanumeric or symbolic code to an existing code. The magnitude code helps indicate the intensity, frequency, direction, presence, evaluative content, or absence of a characteristic within these initial codes.
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Johnny Saldaña, in his book The Coding Manual for Qualitative Researchers (2012), offers a concise overview of elaborative coding. We summarize his interpretation in this article.
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This article explores the differences between interpretative phenomenological analysis (IPA) and thematic analysis (TA), including these philosophical differences, techniques, situational considerations, and the possible benefits of combining them.
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Collaborative thematic analysis (CTA) is a research method where a group of researchers collaboratively analyze qualitative research. This approach is similar to thematic analysis but has been adjusted to facilitate team-based analysis.
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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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NVivo Cloud Collaboration is an add-on module for NVivo CAQDAS (Computer-Assisted Qualitative Data Analysis). This article explores the features, benefits, limitations, and pricing of the cloud-based collaboration research tool.
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Member checking, also called respondent validation, is a qualitative research technique where researchers and study respondents collaborate to ensure data accuracy.
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Researcher triangulation in qualitative analysis uses multiple researchers to collect and analyze data.
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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.
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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.
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This article identifies, defines, and explains the various representations of thematic content analysis throughout the formative literature on qualitative research.
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