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

Material type: TextTextPublisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019Description: 1 online resource (XIII, 290 p.) : 180 illustrations, 177 illustrations in colorContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030156718
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 300.1 23
LOC classification:
  • H61-61.95
Online resources:
Contents:
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.
Summary: 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.
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Item type Current library Call number Status
Цахим ном Цахим ном Эрдэм шинжилгээний номын сан 300.1 Available

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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.

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.

English

Description based on Springer metadata.

Эрүүл Мэндийн Шинжлэх Ухааны Төв Номын Сан
ХАЯГ: Анагаахын Шинжлэх Ухааны Үндэсний Их Сургууль, С.Зоригийн гудамж, Ш/Х-48/111 Улаанбаатар хот 14210, Монгол Улс
УТАС: 11-320623| И-МЭЙЛ: library.support@mnums.edu.mn|ВЕБ: mnums.edu.mn