Three Approaches to Qualitative Content Analysis
Три подхода к качественному контент-анализу
2005-10-04
SCID: 54.1/zczp52ng
Discuss with AI
coding schemesconventional content analysisdirected content analysissummative content analysistrustworthiness (qualitative research)
Figures from the paper
Abstract (AI)
Content analysis is a widely used qualitative research technique. Rather than being a single method, current applications of content analysis show three distinct approaches: conventional, directed, or summative. All three approaches are used to interpret meaning from the content of text data and, hence, adhere to the naturalistic paradigm. The major differences among the approaches are coding schemes, origins of codes, and threats to trustworthiness. In conventional content analysis, coding categories are derived directly from the text data. With a directed approach, analysis starts with a theory or relevant research findings as guidance for initial codes. A summative content analysis involves counting and comparisons, usually of keywords or content, followed by the interpretation of the underlying context. The authors delineate analytic procedures specific to each approach and techniques addressing trustworthiness with hypothetical examples drawn from the area of end-of-life care.
Key Findings
1
Content analysis comprises three distinct qualitative approaches: conventional, directed, and summative.
2
Conventional content analysis derives coding categories directly from the text data.
3
Directed content analysis begins with a theory or prior research to guide initial codes.
4
Summative content analysis involves counting and comparing keywords or content, then interpreting underlying context.
5
The paper delineates analytic procedures and trustworthiness techniques specific to each approach, illustrated with end-of-life care examples.
6
The three approaches differ primarily in coding schemes, origins of codes, and threats to trustworthiness.
Research Object
Qualitative content analysis as applied to text data
Research Subject
Comparison and delineation of three approaches (conventional, directed, summative) including their coding schemes, origins of codes, analytic procedures, and threats to trustworthiness
Publication Details
Publication Date
2005-10-04
Journal
Publisher
ISSN
Cited by
45125
Access Type
Author Information
Download PDF
Subscribe to digest
References available in scid.ai2
Cited by17
The qualitative content analysis process2008
Using the framework method for the analysis of qualitative data in multi-disciplinary health research2013
Sustainable development: Meaning, history, principles, pillars, and implications for human action: Literature review2019
Youth Mobilization to Stop Global Climate Change: Narratives and Impact2020
Prompting AI Art: An Investigation into the Creative Skill of Prompt Engineering2024
When technology meets people: the interplay of artificial intelligence and human resource management2021
Nurses’ challenges for disaster response: a qualitative study2024
Psychosocial Consequences of False-Positive Newborn Screens for Cystic Fibrosis2010
The Royal Canadian Mounted Police (RCMP) Study: protocol for a prospective investigation of mental health risk and resilience factors2022
Including Communication in the Nursing Classroom: A Content Analysis of Communication Competence and Interprofessional Communication in Nursing Fundamentals Textbooks2019
Posttraumatic Growth and Transformation as Outcomes of Perinatal Loss2012
Transnationalising reactionary conservative activism: A multimodal critical discourse analysis of far-right narratives online2022
Counter-terrorism in cyber–physical spaces: Best practices and technologies from the state of the art2023
INTERCULTURAL COMMUNICATIVE COMPETENCE OF STUDENTS FROM DIFFERENT CULTURES IN EFL CLASSROOM INTERACTION IN HIGHER INSTITUTION2022
Unmet care needs of advanced cancer patients and their informal caregivers: a systematic review2018
The PhD Experience: A Review of the Factors Influencing Doctoral Students’ Completion, Achievement, and Well-Being2018
A guide to using the Theoretical Domains Framework of behaviour change to investigate implementation problems2017