Qualitative Data Analysis with NVivo

Preface vii Perspectives: Qualitative computing and NVivo 1(20) Qualitative research purposes and NVivo 2(5) Issues raised by using software for qualitative data analysis 7(4) What does an NVivo project look like? 11(7) About this book 18(3) Starting a project 21(18) Starting 22(2) Starting with software 24(13) Saving your project 37(2) Making data records 39(20) Data for your project 40(1) Data in cases 41(2) Data preparation 43(7) Data records in NVivo 50(6) Managing data sources in NVivo 56(3) Working with data 59(40) Goals for early work with data 60(1) Gaining perspective on the text 61(5) Building knowledge of the data through coding 66(17) Storing coding in nodes 83(11) Reflecting on the case 94(5) Connecting ideas 99(32) Development of the coding system 100(10) Making connections across trees (and other items) 110(11) Coding in practice 121(6) Managing coding 127(4) Managing data 131(24) Managing data sources 131(4) Bringing demographic or other quantified data into your analysis 135(13) Scoping queries 148(7) The `pit stop' 155(22) Seeing data afresh in nodes 164(8) Searching text 172(1) Revisiting the literature 173(2) Pausing to `play' with models 175(2) The periodic pause 177(1) Going further 177(34) The analytic journey 178(2) Queries in NVivo 180(2) Starting the journey . . . 182(2) Going further with cases 184(5) Going further with concepts 189(4) Going further with narrative and discourse 193(7) Using numerical counts when analyzing text 200(1) Going further into theory building 201(7) Moving on -- further resources 208(3) References 211(4) Index 215