A hands-on guide to doing content analysis

A hands-on guide to doing content analysis

2017 | Christen Erlingsson, Petra Brysiewicz
This article provides a hands-on guide to conducting qualitative content analysis, aimed at assisting novice qualitative researchers. The authors emphasize the importance of qualitative research in understanding human experiences, particularly in emergency care contexts in Africa. They highlight the challenges novice researchers face in understanding and applying qualitative data analysis methods. The article outlines the process of qualitative content analysis, starting with transcribed interview texts, and describes how to systematically transform large amounts of text into a concise summary of key results. The process involves reading and re-reading the data, identifying meaning units, condensing them, coding, and categorizing. The authors also stress the importance of maintaining awareness of one's pre-understandings to avoid bias during analysis. They suggest using intuition and reflecting on data to gain deeper insights. The article includes practical examples and templates to aid in the analysis process. It also discusses the importance of researcher triangulation and collaboration in ensuring the trustworthiness of qualitative research. The authors conclude with key lessons learned, emphasizing the need for reflexivity, flexibility, and the value of time in the analysis process. The article is intended to support novice researchers in navigating the complexities of qualitative content analysis and to inspire them to appreciate the depth and richness of this methodology in understanding human experiences.This article provides a hands-on guide to conducting qualitative content analysis, aimed at assisting novice qualitative researchers. The authors emphasize the importance of qualitative research in understanding human experiences, particularly in emergency care contexts in Africa. They highlight the challenges novice researchers face in understanding and applying qualitative data analysis methods. The article outlines the process of qualitative content analysis, starting with transcribed interview texts, and describes how to systematically transform large amounts of text into a concise summary of key results. The process involves reading and re-reading the data, identifying meaning units, condensing them, coding, and categorizing. The authors also stress the importance of maintaining awareness of one's pre-understandings to avoid bias during analysis. They suggest using intuition and reflecting on data to gain deeper insights. The article includes practical examples and templates to aid in the analysis process. It also discusses the importance of researcher triangulation and collaboration in ensuring the trustworthiness of qualitative research. The authors conclude with key lessons learned, emphasizing the need for reflexivity, flexibility, and the value of time in the analysis process. The article is intended to support novice researchers in navigating the complexities of qualitative content analysis and to inspire them to appreciate the depth and richness of this methodology in understanding human experiences.
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