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Cover image for Handling qualitative data : a practical guide
Title:
Handling qualitative data : a practical guide
Personal Author:
Edition:
3rd ed.
Publication Information:
Los Angeles : SAGE, 2015.
Physical Description:
xxiv, 236 p : ill. ; 24 cm.
ISBN:
9781446276068

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Material Type
Item Category 1
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33000000009205 H62 R53 2015 Open Access Book Book
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Summary

Summary

The Third Edition of Lyn Richards′ best-selling book is the perfect introduction to qualitative research for students and practitioners. Recognizing that for many new researchers dealing with data is the main point of departure, this book helps them to acquire an understanding of the skills and methodological issues that are central to qualitative research. Author Lyn Richards provides practical guidance on how to handle, reflect on and make sense of rich data, while at the same time showing how a consideration of methods and their philosophical underpinnings informs how we should best handle our data.Detailed sections cover: the processes of making, meeting, sorting, coding, documenting, and exploring qualitative data; how to see a study as a whole and write it, and making and justifying claims. Each chapter smoothly integrates software use with discussion of the main challenges that software users are likely to encounter. Novice researchers who use this book will be able to achieve valid and useful outcomes from qualitative analysis, and ensure they do justice to their data.


Table of Contents

List of tablesp. xi
Companion websitep. xiii
About the authorp. xv
Prefacep. xvii
Acknowledgementsp. xxiii
Introductionp. 1
Starting pointsp. 1
Handling datap. 4
The shape of this bookp. 6
Part I Setting Upp. 9
1 Setting up your projectp. 11
Placing the project in contextp. 12
Purpose, goal and outcomep. 13
Designing the projectp. 18
You and your datap. 26
To dop. 31
Suggestions for further readingp. 31
2 Making qualitative datap. 35
Understanding datap. 36
Preparing to 'make' datap. 43
Ways of making datap. 44
Data about your project (and you)p. 52
Is writing a problem for you?p. 57
To dop. 59
Suggestions for further readingp. 59
3 Data recordsp. 63
What will the records be like?p. 64
How big should a data record be?p. 66
Storing records with softwarep. 69
Working with your data recordsp. 76
When can you start analysing?p. 80
To dop. 81
Suggestions for further readingp. 81
Part II Working With the Datap. 83
4 Up from the datap. 85
Meeting datap. 87
Where do your ideas go?p. 91
Handling your discoveriesp. 94
Drawing it - the early uses of modelsp. 94
Revisiting designp. 95
Revisiting and reviewing recordsp. 97
Writing itp. 99
Up to the categoryp. 100
To dop. 100
Suggestions for further readingp. 101
5 Codingp. 103
Qualitative and quantitative codingp. 104
What can you do with coding?p. 105
Ways of coding in a qualitative projectp. 106
Revisiting the coded datap. 114
Coder reliability in qualitative researchp. 117
Avoiding the coding trapp. 118
Establishing your personal data processing stylep. 120
Writing about codingp. 121
To dop. 121
Suggestions for further readingp. 122
6 Handling ideasp. 125
Organization and creativityp. 126
Catalogues of categoriesp. 128
Writing your ideasp. 137
To dop. 138
Suggestions for further readingp. 139
Part III Making Sense of Your Datap. 141
7 What are you aiming for?p. 143
What are you seeking?p. 144
What can you achieve?p. 146
What would be satisfactory?p. 148
What might it look like? Possible outcomesp. 149
How will you know when you get there?p. 152
How will you know if it is good enough?p. 157
To dop. 163
Suggestions for further readingp. 163
8 Searching the datap. 167
Moving forwardp. 168
The data-theory processp. 169
Searching codingp. 171
Searching the textp. 176
Building on searchesp. 179
Reporting searchesp. 180
To dop. 181
Suggestions for further readingp. 182
9 Seeing a wholep. 185
Seeing what's there - and what's not therep. 185
Ways of seeingp. 186
Accounting for and validating your 'seeing'p. 199
To dop. 202
Suggestions for further readingp. 203
10 Telling itp. 205
Start with what you have writtenp. 206
What if it won't write?p. 210
Planning a qualitative reportp. 212
What about validity and reliability?p. 214
Using your datap. 216
Reports that don't workp. 218
Concluding your studyp. 221
To dop. 222
Suggestions for further readingp. 222
Referencesp. 223
Indexp. 229
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