자연주의적 탐구조사(Naturalistic Inquiry)

Aim This paper is a description of inductive and deductive content analysis. Background Content analysis is a method that may be used with either qualitative or quantitative data and in an inductive or deductive way. Qualitative content analysis is commonly used in nursing studies but little has been published on the analysis process and many research books generally only provide a short description of this method. Discussion When using content analysis, the aim was to build a model to describe the phenomenon in a conceptual form. Both inductive and deductive analysis processes are represented as three main phases: preparation, organizing and reporting. The preparation phase is similar in both approaches. The concepts are derived from the data in inductive content analysis. Deductive content analysis is used when the structure of analysis is operationalized on the basis of previous knowledge. Conclusion Inductive content analysis is used in cases where there are no previous studies dealing with the phenomenon or when it is fragmented. A deductive approach is useful if the general aim was to test a previous theory in a different situation or to compare categories at different time periods.

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The qualitative content analysis process

The Foundations of Qualitative Research - Rachel Ormston, Liz Spencer, Matt Barnard, Dawn Snape The Applications of Qualitative Methods to Social Research - Jane Ritchie and Rachel Ormston Design Issues - Jane Lewis and Carol McNaughton Nicholls Ethics of Qualitative Research - Stephen Webster, Jane Lewis and Ashley Brown Designing and Selecting Samples - Jane Ritchie, Jane Lewis, Gilliam Elam, Rosalind Tennant and Nilufer Rahim Designing Fieldwork - Sue Arthur, Martin Mitchell, Jane Lewis and Carol McNaughton Nicholls In-depth Interviews - Alice Yeo, Robin Legard, Jill Keegan, Kit Ward, Carol McNaughton Nicholls and Jane Lewis Focus Groups - Helen Finch, Jane Lewis, and Caroline Turley Observation - Carol McNaughton Nicholls, Lisa Mills and Mehul Kotecha Analysis: Principles and Processes - Liz Spencer, Jane Ritchie, Rachel Ormston, William O'Connor and Matt Barnard Traditions and approaches Analysis in practice - Liz Spencer, Jane Ritchie, William O'Connor, Gareth Morrell and Rachel Ormston Generalisability Writing up qualitative Research - Clarissa White, Kandy Woodfield, Jane Ritchie and Rachel Ormston

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Qualitative Research Practice: A Guide for Social Science Students and Researchers

Der Beitrag beschreibt einen Ansatz systematischer, regelgeleiteter qualitativer Analyse von Text, der methodische Starken der quantitativen Inhaltsanalyse teilweise ubernimmt und zu einem qualitativ orientierten Instrumentarium ausweitet. Dazu werden historische Entwicklungslinien der Inhaltsanalyse aufgezeigt und die Grundlagen der Technik (Analyseeinheiten, Schrittmodelle, Arbeiten mit Kategoriensystemen, Gutekriterien) expliziert. Schlieslich werden an Techniken Qualitativer Inhaltsanalyse die induktive Kategorienentwicklung und die deduktive Kategorienanwendung naher dargestellt. Es wird gezeigt, wo Computerprogramme diese qualitativen Analyseschritte unterstutzen konnen, es werden Ansatzpunkte quantitativer Auswertungsschritte festgemacht und abschliesend die Moglichkeiten und Grenzen des Ansatzes diskutiert.
URN: urn:nbn:de:0114-fqs0002204

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Qualitative Content Analysis

Failure to reach data saturation has an impact on the quality of the research conducted and hampers content validity. The aim of a study should include what determines when data saturation is achieved, for a small study will reach saturation more rapidly than a larger study. Data saturation is reached when there is enough information to replicate the study when the ability to obtain additional new information has been attained, and when further coding is no longer feasible. The following article critiques two qualitative studies for data saturation: Wolcott (2004) and Landau and Drori (2008). Failure to reach data saturation has a negative impact on the validity on one’s research. The intended audience is novice student researchers. Keywords: Data Saturation, Triangulation, Interviews, Personal Lens, Bias.

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Are We There Yet? Data Saturation in Qualitative Research

PART ONE: FRAMEWORK Guide to this Book Qualitative Research: Why And How to Do It Qualitative and Quantitative Research Approaches to Qualitative Research Ethics of Qualitative Research PART TWO: THEORY IN QUALITATIVE RESEARCH Using the Existing Literature Theories Underlying Qualitative Research Texts as Data in Qualitative Research PART THREE: RESEARCH DESIGN Designing Qualitative Research The Qualitative Research Process Research Questions Entering the Field Sampling Triangulation PART FOUR: VERBAL DATA Collecting Verbal Data Interviews Focus Groups Using Narrative Data PART FIVE: DATA BEYOND TALK Collecting Data Beyond Talk Observation and Ethnography Visual Data: Photography, Film & Video Using Documents as Data PART SIX: QUALITATIVE DATA ANALYSIS Qualitative Data Analysis Transcription and Data Management Grounded Theory Coding Thematic Coding and Content Analysis Naturally Occuring Data: Conversation, Discourse, and Hermeneutic Analysis Using Software in Qualitative Data Analysis PART SEVEN: GROUNDING, WRITING AND OUTLOOK Quality of Qualitative Research: Criteria and Beyond Writing Qualitative Research State of the Art and the Future

An Introduction to Qualitative Research

1. What is qualitative research? 2. From an idea to a research question 3. How to design qualitative research 4. Sampling, selecting and access 5. Resources and stumbling blocks 6. Quality in qualitative research 7. Ethics in qualitative research 8. Verbal data 9. Ethnography and visual data 10. Analyzing qualitative data 11. Beyond method: Grounded Theory, Triangulation and Mixed Methods 12. Designing qualitative research: some conclusions

Designing Qualitative Research

An introduction to qualitative research, 4th ed.

The wide range of approaches to data analysis in qualitative research can seem daunting even for experienced researchers. This handbook is the first to provide a state-of-the art overview of the whole field of QDA; from general analytic strategies used in qualitative research, to approaches specific to particular types of qualitative data, including talk, text, sounds, images and virtual data.

	 

	 

	The handbook includes chapters on traditional analytic strategies such as grounded theory, content analysis, hermeneutics, phenomenology and narrative analysis, as well as coverage of newer trends like mixed methods, reanalysis and meta-analysis. Practical aspects such as sampling, transcription, working collaboratively, writing and implementation are given close attention, as are theory and theorization, reflexivity, and ethics.

	 

	Written by a team of experts in qualitative research from around the world, this handbook is an essential compendium for all qualitative researchers and students across the social sciences.

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Uwe Flick

Papers

An Introduction to Qualitative Research

Designing Qualitative Research

An introduction to qualitative research, 4th ed.

The SAGE Handbook of Qualitative Data Analysis

Introducción a la investigación cualitativa