Content Analysis
Systematically categorize and interpret qualitative content.
12 articles
The Practical Guide to Qualitative Content Analysis
Qualitative content analysis is a research method used to analyze and interpret the content of textual data, such as written documents, interview transcripts, or other forms of communication. This guide introduces qualitative content analysis, explains the different types of qualitative content analysis, and provides a step-by-step guide for your research.
Content Analysis vs Thematic Analysis: What's the Difference?
Thematic analysis and qualitative content analysis are two popular approaches used to analyze qualitative data. Confusingly, the two research approaches are often defined in similar ways or even used interchangeably in defining literature. We clarify the difference between thematic analysis and the common forms of qualitative content analysis.
Codebooks in Qualitative Content Analysis
This article offers qualitative codebook examples with practical guidance on creating them for your own qualitative research.
Manifest Content Analysis vs. Latent Content Analysis in Qualitative Research
We examine two prototypical methods of qualitative content analysis. First, manifest content analysis, which explains the visible and literal meaning of specific words or phrases within textual data. The second method is latent content analysis where you apply a deeper, interpretive analysis that seeks to infer meaning and context from how words or phrases are used.
Grounded Theory vs. Qualitative Content Analysis: What's the Difference?
Grounded theory and qualitative content analysis analyze textual data differently. This article explores these differences, highlighting the strengths and uses of these popular qualitative research methods.
Ethnographic Content Analysis: A Practical Introduction & Guide
Ethnographic content analysis (ECA) is a qualitative research method that blends the in-depth, contextual insights of ethnography with the systematic approach of content analysis.
Is Content Analysis Qualitative or Quantitative?
After discovering that content analysis relies on numbers for data analysis, many new researchers usually ask the same question: Is content analysis qualitative or quantitative? This article answers that question.
What Is Thematic Content Analysis in Qualitative Research?
Various definitions of thematic content analysis (TCA) have been offered by an array of qualified researchers. In this article, we offer our interpretation of several qualitative analysis-focused works to organize and then present these ambiguous representations of thematic content analysis.
What is Relational Content Analysis in Qualitative Research? Step-by-Step Guide
Like other methods of content analysis, relational content analysis begins by choosing concepts to examine and counting their frequency. The unique aspect of the relational method is that concepts signify no meaning in and of themselves. Instead, relational analysis analyzes the relationships between concepts.
What is Conceptual Content Analysis in Qualitative Research? Step-by-Step Guide
The goal of conceptual analysis is to explore the occurrence—or frequency—of concepts (i.e. keywords) that represent larger ideas in textual data. By reducing the text to concepts, the researcher can focus code for specific words or patterns that help answer their research question.
What is summative content analysis in qualitative research?
Summative content analysis starts with the counting of pre-defined keywords before applying several iterations of manifest content analysis that are quantitative in the early stages. But the goal is to explore the usage of specific language and concepts in textual data through a deductive, top-down approach.
What is Conventional Content Analysis in Qualitative Research? Step-by-Step Guide
Inductive research methods like conventional content analysis—where you develop codes as you analyze textual data by tracking the frequency of specific words, phrases, and concepts—are used when there are no existing theories on a topic, when they are fractured, or when you plan to study a new phenomenon.
Ready to analyze your own data?
Delve is qualitative data analysis software with a 14-day free trial — no credit card required.
Start Your 14 Day Free Trial