My Account Log in

1 option

Computer Supported Qualitative Research : New Trends in Qualitative Research (WCQR2024) / edited by Jaime Ribeiro, Catarina Brandão, Mfanelo Ntsobi, Judita Kasperiuniene, António Pedro Costa.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2024 Available online

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2024
Format:
Book
Conference/Event
Contributor:
Brandão, Catarina.
Ntsobi, Mfanelo.
Kasperiuniene, Judita.
Costa, António Pedro.
Conference Name:
World Conference on Qualitative Research (8th : $d 2024 : São Miguel Island, Azores)
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 1061
Language:
English
Subjects (All):
Computational intelligence.
Engineering mathematics.
Engineering--Data processing.
Computational Intelligence.
Mathematical and Computational Engineering Applications.
Local Subjects:
Computational Intelligence.
Mathematical and Computational Engineering Applications.
Physical Description:
1 online resource (xv, 437 pages) : illustrations (chiefly color).
Edition:
1st ed. 2024.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Summary:
This book aims to bring together researchers, academics, and professionals, promoting the sharing and discussing knowledge, new perspectives, experiences, and innovations in Qualitative Research. This book includes selecting the articles accepted for presentation and discussion at WCQR2024, held January 23 to 25, 2024 (face-to-face and virtual conference). WCQR2024 featured four main application fields (Education, Health, Social Sciences, and Engineering/Technology) and seven main subjects: Rationale and Paradigms of Qualitative Research; Systematization of Approaches with Qualitative Studies; Qualitative and Mixed Methods Research; Data Analysis Types; Innovative Processes of Qualitative Data Analysis; Qualitative Research in Web Context; Qualitative Analysis with Software Support. The book is valuable for everyone interested in qualitative research, emphasizing Computer-Assisted Qualitative Data Analysis Software (CAQDAS).
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
9783031657351
3031657357
OCLC:
1458757541

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

We want your feedback!

Thanks for using the Penn Libraries new search tool. We encourage you to submit feedback as we continue to improve the site.

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Library Catalog Using Articles+ Library Account