This book helps researchers prepare and successfully finish their qualitativedata analysis. It sets out an easy to grasp model -the spiral of analysis- that shows how to break up the data with coding and how to subsequently integrate the data to yield a meaningful picture of the phenomenon under study. It offers useful devices to guide the reader through the last difficult integrating phase of qualitative analysis including diagramming, memoing, thinking aloud, and using one’s feelings. The book incorporates the support of software for qualitative data analysis. The analysis is placed in the context of modern quality criteria and the demands posed on the reporting. The book cannot take the place of the process of thinking about the data, but it does provide thinking aids and practical tools to process the data, which can result in interesting findings. The book is written on an introductory level and is aimed at third year undergraduate students, master students, postgraduates and anybody beginning a research project. The examples cover a wide range of subjects that make the book attractive for several social science disciplines. It strives to help researchers start and finish the analysis, and to inspire and enthuse them withtheir projects. INDICE: Preface / Acknowledgements / PART ONE: INTRODUCTION TO QUALITATIVERESEARCH / Learning aims / Quantitative and qualitative research / Different types of qualitative research / Structural analysis / Interpretational analysis / Defining qualitative research with a view to analysis / Doing your own qualitative research project step 1 / PART TWO: RESEARCH DESIGN / Learning aims /Planning a research project / Research question and purpose / Literature review / Sampling / Recruitment and access / Doing your own qualitative research project step 2 / PART THREE: ETHICS IN QUALITATIVE RESEARCH / Learning aims / Ethics in social research / Sensitive topics / Balancing risk and benefits for participants /Researcher's stress / Ethical issues in analysis / Doing your own qualitative research project step 3 / PART FOUR: DATA COLLECTION / Learning aims / Data / Qualitative data collection / Instruments used / Writing memos /Preparing data for analysis / Doing your own qualitative research project step 4 / PART FIVE: PRINCIPLES OF QUALITATIVE ANALYSIS / Learning aims / What is analysis? / Segmenting data / Reassembling data / Three starting points / A stepwise approach: the spiral of analysis / Doing your own qualitative research project step 5 / PART SIX: DOING QUALITATIVE ANALYSIS / Learning aims / Introduction to coding / Open coding / Axial coding / Selective coding / Functions of coding / Doing your own qualitative research project step 6 / PART SEVEN: INTEGRATIVE PROCEDURES / Learning aims / Heuristics for discovery / Think aloud analysis / Specials: focus groups and visuals / The use of the computer / Reflecting on analysis / Doing your own qualitative research project step 7 / PARTEIGHT: FINDINGS / Learning aims / Results of qualitative research / Meta-syntheses of qualitative studies / Muddling qualitative methods / Mixed methods research / Practical use / Doing your own qualitative research project step 8 / PART NINE: QUALITY OF THE RESEARCH / Learning aims / Thinking about quality / 'Doing' quality / Checklists for asserting quality of analysis / External validity or generalisability / Quality challenges / Doing your own qualitative research project step 9 / PART TEN: WRITING THE RESEARCH REPORT / Learning aims /Writing: the last part of analysis / The researcher as writer / The position of participants / Structure of the final report / Publishing / Doing your own qualitative research project step 10 / References / Index
- ISBN: 978-1-84787-006-3
- Editorial: Sage Publications
- Encuadernacion: Cartoné
- Páginas: 232
- Fecha Publicación: 01/10/2009
- Nº Volúmenes: 1
- Idioma: Inglés