This timely and accomplished book offers readers a well informed, reliable guide to all aspects of qualitative secondary analysis.
· Defines secondary analysis
· Distinguishes between quantitative and qualitative secondary analysis
· Maps the main types of qualitative secondary analysis
· Covers the key ethical and legal issues
· Offers a practical guide to effective research
· Sets the agenda for future developments in the subject
Written by an experienced researcher and teacher with a background in sociology, the book is a comprehensive and invaluable introduction to this growing field of social research.
Janet Heaton is Research Fellow at the University of the Highlands and Islands, UK. She has a special interest in the secondary analysis of qualitative data and has published studies using the methodology as well as reviews and commentaries on the topic. In Reworking Qualitative Data (2004), she investigated the ways in which the methodology has been promoted in the social sciences and carried out in practice. In this and related works, she has examined the various epistemological, methodological, and ethical issues associated with sharing and reusing data accessed through data archives, informal data sharing, and analysts’ own collections.
Johnny Saldaña’s unique and invaluable manual demystifies the qualitative coding process with a comprehensive assessment of different coding types, examples and exercises. The ideal reference for students, teachers, and practitioners of qualitative inquiry, it is essential reading across the social sciences and neatly guides you through the multiple approaches available for coding qualitative data.
Its wide array of strategies, from the more straightforward to the more complex, is skillfully explained and carefully exemplified providing a complete toolkit of codes and skills that can be applied to any research project. For each code Saldaña provides information about the method's origin, gives a detailed description of the method, demonstrates its practical applications, and sets out a clearly illustrated example with analytic follow-up.
Now with a companion website, the book is supported by:
This international bestseller is an extremely usable, robust manual and is a must-have resource for qualitative researchers at all levels.
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This innovative book critically evaluates widely used sampling strategies, identifying key theoretical assumptions and considering how empirical and theoretical claims are made from these diverse methods.
Nick Emmel presents a groundbreaking reworking of sampling and choosing cases in qualitative research. Drawing on international case studies from across the social sciences he shows how ideas drive choices, how cases are used to work out the relation between ideas and evidence, and why it is not the size of a sample that matters, it is how cases are used to interpret and explain that counts.
Fresh, dynamic and timely, this book is essential reading for researchers and postgraduate students engaging with sampling and realism in qualitative research.
Help is here! This book unpacks these statistical techniques in easy-to-understand language with fully annotated examples using the statistical software Stata. The techniques are explained without reliance on equations and algebra so that new users will understand when to use these approaches and how they are really just special applications of ordinary regression. Using real life data, the authors show you how to model random intercept models and random coefficient models for cross-sectional data in a way that makes sense and can be retained and repeated.
This book is the perfect answer for anyone who needs a clear, accessible introduction to multilevel modeling.