1.

Record Nr.

UNINA9910337729403321

Autore

Kuckartz Udo

Titolo

Analyzing Qualitative Data with MAXQDA : Text, Audio, and Video / / by Udo Kuckartz, Stefan Rädiker

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019

ISBN

3-030-15671-0

Edizione

[1st ed. 2019.]

Descrizione fisica

1 online resource (XIII, 290 p. 180 illus., 177 illus. in color.)

Disciplina

001.42

Soggetti

Sociology - Methodology

Social sciences - Statistical methods

Education - Research

Mathematical statistics - Data processing

Biometry

Statistics

Sociological Methods

Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy

Research Methods in Education

Statistics and Computing

Biostatistics

Statistics in Business, Management, Economics, Finance, Insurance

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Introduction: Analyzing Qualitative Data with Software -- Getting to Know the Interface of MAXQDA -- Setting up a Project and Importing Data -- Transcribing Audio and Video Recordings -- Exploring the Data -- Coding Text and PDF Files -- Coding Video Data, Audio Data, and Images -- Building a Coding Frame -- Working with Coded Segments and Memos -- Adding Variables and Quantifying Codes -- Working with Paraphrases and Summaries, Creating Case Overviews -- Comparing Cases and Groups, Discovering Interrelations and Using Visualizations -- Analyzing Mixed Methods Data -- Working with Bibliographic Information and Creating Literature Reviews -- Analyzing



Focus Group Data -- Analyzing (Online) Survey Data with Closed and Open-Ended Questions -- MAXMaps: Creating Infographics and Concept Maps -- Collaborating in Teams -- Analyzing Intercoder Agreement -- Documenting and Archiving the Research Process.

Sommario/riassunto

This book presents strategies for analyzing qualitative and mixed methods data with MAXQDA software, and provides guidance on implementing a variety of research methods and approaches, e.g. grounded theory, discourse analysis and qualitative content analysis, using the software. In addition, it explains specific topics, such as transcription, building a coding frame, visualization, analysis of videos, concept maps, group comparisons and the creation of literature reviews. The book is intended for masters and PhD students as well as researchers and practitioners dealing with qualitative data in various disciplines, including the educational and social sciences, psychology, public health, business or economics.