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JournalISSN: 1049-7323

Qualitative Health Research 

SAGE Publishing
About: Qualitative Health Research is an academic journal published by SAGE Publishing. The journal publishes majorly in the area(s): Health care & Qualitative research. It has an ISSN identifier of 1049-7323. Over the lifetime, 3530 publications have been published receiving 222805 citations. The journal is also known as: QHR.


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Journal ArticleDOI
TL;DR: 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.
Abstract: 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.

31,398 citations

Journal ArticleDOI
TL;DR: It is suggested that the size of a sample with sufficient information power depends on (a) the aim of the study, (b) sample specificity, (c) use of established theory, (d) quality of dialogue, and (e) analysis strategy.
Abstract: Sample sizes must be ascertained in qualitative studies like in quantitative studies but not by the same means. The prevailing concept for sample size in qualitative studies is "saturation." Saturation is closely tied to a specific methodology, and the term is inconsistently applied. We propose the concept "information power" to guide adequate sample size for qualitative studies. Information power indicates that the more information the sample holds, relevant for the actual study, the lower amount of participants is needed. We suggest that the size of a sample with sufficient information power depends on (a) the aim of the study, (b) sample specificity, (c) use of established theory, (d) quality of dialogue, and (e) analysis strategy. We present a model where these elements of information and their relevant dimensions are related to information power. Application of this model in the planning and during data collection of a qualitative study is discussed.

3,885 citations

Journal ArticleDOI
TL;DR: By familiarizing themselves with the origins and details of these approaches, researchers can make better matches between their research question(s) and the goals and products of the study, the authors argue.
Abstract: The purpose of this article is to compare three qualitative approaches that can be used in health research: phenomenology, discourse analysis, and grounded theory. The authors include a model that summarizes similarities and differences among the approaches, with attention to their historical development, goals, methods, audience, and products. They then illustrate how these approaches differ by applying them to the same data set. The goal in phenomenology is to study how people make meaning of their lived experience; discourse analysis examines how language is used to accomplish personal, social, and political projects; and grounded theory develops explanatory theories of basic social processes studied in context. The authors argue that by familiarizing themselves with the origins and details of these approaches, researchers can make better matches between their research question(s) and the goals and products of the study.

2,494 citations

Journal ArticleDOI
TL;DR: The Survey Research Handbook as mentioned in this paper provides guidelines for the care and use of animals in neuroscience and behavioral research and a guide to the Project Management Body of Knowledge (PMBOK(R) Guide-sixth edition / Agile Practice Guide Bundle (HINDI) Applied SamplingEncyclopedia of Survey Research MethodsQuantifying the User ExperienceEssential Medical StatisticsSample Sizes for Clinical TrialsStatistical Power Analysis for the Behavioral SciencesSample Size Determination
Abstract: Determining Sample Size and Power in Research StudiesSample Size Determination and PowerDetermining Sample SizeStatistical Rules of ThumbSample-Size Determination in Quantitative Social Work ResearchPractical Statistics for Medical ResearchSmall Sample Size SolutionsSampling EssentialsLearning Statistics with RBootstrappingIntroductory StatisticsDetermining Sample Size and Power in Research StudiesHow to Sample in SurveysIntroductory Business StatisticsSamplingThe Survey Research HandbookThe Design and Statistical Analysis of Animal ExperimentsSample Size Determination in Health StudiesSampling TechniquesSurvey samplingAdequacy of Sample Size in Health StudiesSample Size CalculationsProgramming Embedded SystemsStatistical Methods for Rates and ProportionsInstitutional Animal Care and Use Committee GuidebookSample Size Calculations in Clinical ResearchHandbook of Regression Modeling in People AnalyticsGuidelines for the Care and Use of Mammals in Neuroscience and Behavioral ResearchSample Size DeterminationSample Size Tables for Clinical StudiesDesigning SurveysStructural Equation ModelingA Guide to the Project Management Body of Knowledge (PMBOK(R) Guide-Sixth Edition / Agile Practice Guide Bundle (HINDI)Applied SamplingEncyclopedia of Survey Research MethodsQuantifying the User ExperienceEssential Medical StatisticsSample Sizes for Clinical TrialsStatistical Power Analysis for the Behavioral SciencesSample Size Determination

2,492 citations

Journal ArticleDOI

2,199 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202361
2022122
2021209
2020164
2019181
2018174