Description
Product ID: | 9781544371856 |
Product Form: | Paperback / softback |
Country of Manufacture: | US |
Title: | Qualitative Data Analysis - International Student Edition |
Subtitle: | A Methods Sourcebook |
Authors: | Author: A. Michael Huberman, Matthew B. Miles, Johnny Saldana |
Page Count: | 408 |
Subjects: | Data science and analysis: general, Data analysis: general, Research methods: general, Social research and statistics, Research methods: general, Social research & statistics |
Description: | Select Guide Rating In this fourth edition, the authors present the fundamentals of research design and data management with five distinct methods of analysis: exploring, describing, ordering, explaining and predicting. Â “This comprehensive, practical, user-friendly book provides a wealth of data analysis strategies that are essential for any qualitative research. It is a must-have tool book for moving from data analysis to writing for publication!” –Guofang Li, University of British Columbia, Canada Miles, Huberman, and Saldaña’s Qualitative Data Analysis: A Methods Sourcebook is the authoritative text for analyzing and displaying qualitative research data. The Fourth Edition maintains the analytic rigor of previous editions while showcasing a variety of new visual display models for qualitative inquiry. Graphics are added to the now-classic matrix and network illustrations of the original co-authors. Five chapters have been substantially revised, and the appendix’s annotated bibliography includes new titles in research methods. Graduate students and established scholars from all disciplines will find this resource an innovative compendium of ideas for the representation and presentation of qualitative data. As the authors demonstrate, when researchers “think display,” their analyses of social life capture the complex and vivid processes of the people and institutions studied. |
Imprint Name: | SAGE Publications Inc |
Publisher Name: | SAGE Publications Inc |
Country of Publication: | GB |
Publishing Date: | 2019-01-22 |