𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Qualitative data analysis: practical strategies

✍ Scribed by Bazeley, Patricia


Publisher
SAGE Publications Ltd
Year
2013
Tongue
English
Leaves
475
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


Lecturers/instructors only - request a free digital inspection copy hereΒ 

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.

Available withΒ Perusallβ€”an eBook that makes it easier to prepare for class
PerusallΒ is an award-winning eBook platform featuringΒ social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective.Β Learn more.Β 

✦ Table of Contents


Content: Preparing the way : laying the foundations for analysis: Foundations for thinking and working qualitatively
Designing for analysis
Managing and preparing data for analysis --
Working with data : a pathway into analysis: Data samples : becoming and being a researcher
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 --
Describe, compare, and relate : moving on from codes and themes: Describing, evolving, and theorising concepts
Comparative analyses as a means of furthering analysis
Relational analyses --
Bringing it together : moving toward climax and closure: If ... then ... is it because? : developing explanatory models and theories
Developing coherent understanding
Defending and extending : issues of quality and significance.

✦ Subjects


Qu


πŸ“œ SIMILAR VOLUMES


Managing Data Integrity for Finance: Dis
✍ Jane Sarah Lat πŸ“‚ Library πŸ“… 2024 πŸ› Packt Publishing Pvt Ltd 🌐 English

Level up your career by learning best practices for managing the data quality and integrity of your financial data Key Features Accelerate data integrity management using artificial intelligence-powered solutions Learn how business intelligence tools, ledger databases, and database locks solve

Practical Data Quality: Learn practical,
✍ Robert Hawker πŸ“‚ Library πŸ“… 2023 πŸ› Packt Publishing 🌐 English

<p><span>Identify data quality issues, leverage real-world examples and templates to drive change, and unlock the benefits of improved data in processes and decision-making</span></p><h4><span>Key Features</span></h4><ul><li><span><span>Get a practical explanation of data quality concepts and the im