Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits.
Create an account for free
Contact
How to shop
Help
Delivery
DPD courier 4.99 €
GLS courier 9.99 €
Shopping guide
My account
▸
Empty :-(
0
Language
English
English
E-book
Adobe ePub DRM
The fully updated Second Edition presents systematic methods for analyzing qualitative data with cle...
Full description
Libristo code: 40398540
?
227 b
227 b
93.62
€
In stock
Immediate digital delivery
You might also be interested in
/
Paperback
7.67
€
The fully updated Second Edition presents systematic methods for analyzing qualitative data with clear and easy-to-understand steps. The first half is an overview of the basics, from choosing a topic to collecting data, and coding to finding themes, while the second half covers different methods of analysis, including grounded theory, content analysis, analytic induction, semantic network analysis, ethnographic decision modeling, and more. Real examples drawn from social science and health literature along with carefully crafted, hands-on exercises at the end of each chapter allow readers to master key techniques and apply them to their own disciplines.
Actress
&
Polyglot
EWA KASP
for
Play video
Libristo has the largest selection of foreign-language books. That’s why I buy my books there.
About the book
Full name
Analyzing Qualitative Data
Author
H. Russell Bernard, Amber Wutich, Gery W. Ryan
Language
English
English
Binding
E-book - Adobe ePub DRM
Date of issue
2016
Number of pages
576
EAN
9781483347103
Libristo code
40398540
Publishers
SAGE Publications, Inc
Give this book today
It's easy
1 Add to cart and choose Deliver as present at the checkout 2 We'll send you a voucher 3 The book will arrive at the recipient's address
Book advisor Libroamiko
By using this chat, you are communicating with generative artificial intelligence. By using it, you also agree to the processing of personal data.
Hi! I'm Libroamiko, your book advisor.
How can I help you?
Hi, I'm Libroamiko, can I help?