Qualitative data analysis 

 - Los Angeles ; London ; New Delhi ; Singapore ; Washington DC ; Melbourne   SAGE,  2014 
 - xxiii, 444 p. : illustrations ; 24 cm 
<br/><br/> practical strategies 
<br/><br/>Foundations for thinking and working qualitatively --  Designing for analysis ----  Managing and preparing data for analysis ----  Read, reflect, and connect: initial explorations of data ----  Codes and coding: principles and practice ----  Naming, organising, and refining codes ----  Alternative approaches to breaking open and connecting data ----  Describing, evolving, and theorising concepts ----  Comparative analyses as a means of furthering analysis ----  Relational analyses ----  If ... then ... is it because? Developing explanatory models and theories ----  Developing coherent understanding ----  Defending and extending: issues of quality and significance-- 
<br/><br/> Written by an experienced researcher in the field of qualitative methods, this dynamic new book provides a definitive introduction to analysing qualitative data. ;  ; It is a clear, accessible and practical guide to each stage of the process, including: ;  ; - Designing and managing qualitative data for analysis ;  ; - Working with data through interpretive, comparative, pattern and relational analyses ;  ; - Developing explanatory theory and coherent conclusions, based on qualitative data. ;  ; The book pairs theoretical discussion with practical advice using a host of examples from diverse projects across the social sciences. It describes data analysis strategies in actionable steps and helpfully links to the use of computer software where relevant. ;  ; This is an exciting new addition to the literature on qualitative data analysis and a must-read for anyone who has collected, or is preparing to collect, their own data. 
<br/><br/><label>ISBN: </label>9781849203036 
<br/><br/><label>Subjects--Uniform Titles: </label><br/>CLASS H - SOCIAL SCIENCES
<br/><br/><label>Subjects--Topical Terms: </label><br/>Qualitative research -- Data processing<br/>Social sciences -- Research -- Data processing<br/>Social sciences--Statistical methods<br/>