Qualitative data analysis: from start to finish
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Los Angeles ; London ; New Delhi ; Singapore ; Washington DC ; Melbourne
SAGE
2019
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| Ausgabe: | 2nd edition |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | xx, 305 Seiten Illustrationen |
| ISBN: | 9781526402790 9781526402806 |
Internformat
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Datensatz im Suchindex
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| adam_text | гѵв րտ /ГЩГ í! «Il ¿ About tte author Acknowledgements Why you need this book: getting started Qualitative data analysis: help is at hand How to use this book Key terms to know about What you will be able to do by the end of this book ä n . - 3,103 iΛ у чј ֊ хШ xv xvii xvii xviii xix xx INTRODUCTION TO STAGE 1: RESEARCH DESIGN AND PREPARATION 1 1 Introduction to Qualitative Social Research 3 Key learning points What is social research? Literature, secondary data and primary data A model of the research process (deductive) An example using the model of the research process (deductive) Settings for social research Social research: Underlying concepts Qualitative and quantitative research Mixed methods Critical research Why should you choose a qualitative approach? Summary What have you learned? Further reading 2 Designing Qualitative Research: Your Key Questions Key learning points Induction and deduction Deductive research and research questions Inductive research Grounded theory Research objectives A model of the research process (inductive) An example using the model of the research process (inductive) 3 4 5 6 9 13 16 16 18 19 20 20 20 21 23 23 24 24 27 27 28 28 30
QUALITATIVE DATA ANALYSIS Qualitative research and the inductive/deductive continuum Research designs Ethnography Case studies . The literature review Finding an appropriate theoretical background Summary What have you learned? Further reading Place in the research process 3 Practical Issues in Qualitative Research Key learning points Forms of data collection Interviews Focus groups Documentary analysis Observation Questionnaires Sampling Negotiating access Maximising response Ethical issues Worthiness of the project Benefits and costs Competence boundaries Informed consent Honesty and truth Privacy, anonymity and confidentiality Use of results and conclusions Intervention and advocacy Summary What have you learned? Further reading Place in the research process INTRODUCTION TO STAGE 2: DATA COLLECTION and MANAGEMENT ^ 35 35 OO ^ ^ 4շ 43 43 44 44 45 46 4^ ДО 40 50 51 52 53 53 53 54 54 54 55 55 56 56 57 57 58 61 4 Collecting and Managing Interview Data 63 Key learning points Distinctive features of qualitative interviews Types of qualitative interview Semi-structured interviews Unstructured interviews Life history interviews Modes of data collection - meet, call or type? 63 64 65 65 66 67 67
CONTENTS Planning the interview and the interview guide Example of a section from an interview guide Introduction Background Motivation Exercise to assess a section from an interview guide Exercise to write a section of an interview guide Reflective practice Unplanned probes Qualities of the qualitative interviewer Extra qualities for online interviews Pilot interviews Recording and transcription of interview data Extract from interview: words only and grammar edited Extract from interview: full transcription Reflections on the two versions of the extract Summary What have you learned? Further reading Place in the research process ļ vii 70 71 71 71 71 72 73 73 74 75 76 78 79 80 80 80 81 82 82 83 5 Collecting and Managing Focus Group Data 85 Key learning points Planning a focus group Mode of data collection Choosing respondents for focus groups The focus group guide Guide to seminar focus groups Moderating a focus group Preparation Recording Encouraging interaction Maintaining an appropriate level of control Ensuring that all contribute Skills for online focus group moderation Summary What have you learned? Further reading Place in the research process 85 86 86 89 91 92 92 93 93 93 94 95 96 98 99 99 100 INTRODUCTION TO STAGE 3: DATA ANALYSIS and INTERPRETATION 6 A Brief Introduction to the Analysis of Qualitative Data Key learning points What qualitative data analysis is 10! 103 103 104
viii QUALITATIVE DATA ANALYSIS What good data looks like To code or not to code? Computer assisted qualitative data analysis (CAQDAS) Advantages of using CAQDAS Disadvantages of using CAQDAS Uploading transcripts to NVivo The crucial role of validity Exercise to identify commonalities in a dataset Exercising reflexivity Checking the accuracy of findings Summary What have you learned? Further reading Place in the research process 105 107 109 110 110 111 113 114 115 116 117 117 118 118 7 Step One for Analysing Your Interview Data Making Summaries and Comparisons Key learning points The importance of thorough reading Summarising interviews Examples for summarising interviews Exercise for summarising interviews The value of summaries The constant comparative method Step 1: Make a list of similarities and differences between the first two cases Step 2: Amend the list of similarities and differences as further 120 120 121 125 127 129 130 cases are added to the analysis Exercise for using the constant comparative method (1) Exercise for using the constant comparative method (2) Step 3: Identify reach findings once all the cases have been included in the analysis Using NVivo Summary What have you learned? Further reading Place in the research process 133 131 135 137 142 144 145 146 146 8 Step Two for Analysing Your Interview Data - Using Codes Key learning points What are codes and how can they be used? Step 1: identifying initial categories based on reading the transcripts Step 2: writing codes alongside thetranscripts Coding example Exercise for coding 147 147 148 149 150 լյլ -,
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CONTENTS Step 3: reviewing the list of codes, revising the list of categories and deciding which codes should appear in which category Complete list of codes used in relation to reflective practice Identifying codes that should have been placed in pre-set categories Creating sub-categories Creating new categories Identifying codes that apply to sufficient numbers of respondents to be part of the findings although they stand outside any category Identifying codes that stand outside any category and do not apply to sufficient numbers of respondents to be considered to constitute a theme Step 4: looking for themes and findings in each category Remember the purpose of thematic analysis Be content with simple findings Identifying findings from the data on reflective practice Exercise for creating sub-categories and identifying findings Using NVivo Summary What have you learned? Further reading Place in the research process 9 Step Three for Analysing Your Interview Data Finding Conceptual Themes and BuildingTheory Key learning points Characteristics of conceptual themes Two helpful tools for identifying conceptual themes Data memos Tables Analysing a conceptual theme step by step Step 1: identifying the conceptual theme and creating a category Example of a data memo: responsibility (1) Example of a data memo: responsibility (2) Step 2: bringing together codes from different illustrative issues in this category Exercise for placing codes into conceptual categories Step 3: creating sub-categories that reflect different elements of the conceptual theme Exercise to sort codes into
sub-categories when using a conceptual theme Step 4: using the conceptual theme to explain differences between respondents and to build theory Summary What have you learned? Further reading Place in the research process ¡ ix 157 157 159 161 161 162 164 164 164 165 165 166 169 172 173 174 174 175 175 176 178 178 178 180 180 182 183 183 184 188 192 192 194 195 196 196
x ļ QUALITATIVE DATA ANALYSIS 10 Analysing Your Focus Group Data Key learning points What s different about analysing focus group data? Individual data analysis Group data analysis Excerpt 1 from face-to-face focus group Exercise to analyse focus group data Excerpt 2 from face-to-face focus group Avoiding reaching findings that lack validity Group interaction data analysis Step 1: reading the transcript carefully to identify an area of disagreement Step 2: looking at the language used to construct the disagreement and what it infers about relationships Step 3: making comparisons with other areas of disagreement to assess the validity of the initial findings Combining analysis of the how and the what Differences when analysing online focus group data Excerpt 1 from online focus group Excerpt 2 from online focus group Summary What have you learned? Further reading Place in the research process 11 Alternative Approaches to Analysing Qualitative Data Key learning points Deductive coding and analysis Choosing apriori codes Using apriori codes Reflections on the use of apriori codes Narrative analysis Thematic narrative analysis Structural narrative analysis Discourse analysis Exercise to demonstrate the use of discourse analysis Summary What have you learned? Further reading Place in the research process INTRODUCTION TO STAGE4: DISSEMINATION 12 Writing About Your Qualitative Research Key learning points Types of research output 197 197 198 199 201 202 204 204 207 208 209 210 211 211 214 214 216 217 218 219 219 221 221 222 223 223 224 225 228 229 231 236 238 239 240 241 243
245 245 246
CONTENTS Presenting the literature review Some practical advice on writing about literature The methodology section Example of a methodology section Writing about qualitative findings Using individual examples Using quotations Presenting focus group data Example: writing about student employment Citing literature in the findings section The role of the conclusion Recommendations Example of literature review, findings and conclusion Summary What have you learned? Further reading Place in the research process Appendix 1: Interview with Fern Appendix 2: Additional material on writing about your qualitative data Glossary References Index j xi 247 247 250 251 252 254 255 257 257 259 259 260 261 264 265 265 266 267 275 283 289 301
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| isbn | 9781526402790 9781526402806 |
| language | English |
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| spelling | Harding, Jamie ca. 20./21. Jh. Verfasser (DE-588)1042220204 aut Qualitative data analysis from start to finish Jamie Harding 2nd edition Los Angeles ; London ; New Delhi ; Singapore ; Washington DC ; Melbourne SAGE 2019 xx, 305 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Qualitative Methode (DE-588)4137346-7 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Qualitative Methode (DE-588)4137346-7 s Datenanalyse (DE-588)4123037-1 s b DE-604 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030839217&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
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| title | Qualitative data analysis from start to finish |
| title_auth | Qualitative data analysis from start to finish |
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| title_full | Qualitative data analysis from start to finish Jamie Harding |
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| title_full_unstemmed | Qualitative data analysis from start to finish Jamie Harding |
| title_short | Qualitative data analysis |
| title_sort | qualitative data analysis from start to finish |
| title_sub | from start to finish |
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