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Using an interdisciplinary multi-method approach to explain the relationships between news media and the stock market /

This case study gives an overview about an interdisciplinary, multi-method PhD project in which I studied the mutual relationships between news media and the stock market from various research perspectives. Within three years of research, I conducted six empirical studies with unique datasets that c...

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Bibliographic Details
Main Author: Strauß, Nadine (Author)
Format: eBook
Language:English
Published: London : SAGE Publications Ltd, 2019.
Series:SAGE Research Methods. Cases.
Subjects:
Research > Methodology > Case studies.
Mixed methods research > Case studies.
Press > Case studies.
Stock exchanges > Case studies.
Content analysis (Communication) > Case studies.
Time-series analysis > Case studies.
Recherche > Méthodologie > Études de cas.
Méthodes de recherche mixtes > Études de cas.
Presse > Études de cas.
Bourse > Études de cas.
Analyse de contenu (Communication) > Études de cas.
Série chronologique > Études de cas.
Content analysis (Communication)
Mixed methods research
Press
Research > Methodology
Stock exchanges
Time-series analysis
Case studies
Online Access:Connect to the full text of this electronic book
Description
Summary:This case study gives an overview about an interdisciplinary, multi-method PhD project in which I studied the mutual relationships between news media and the stock market from various research perspectives. Within three years of research, I conducted six empirical studies with unique datasets that combined qualitative and quantitative research methods both within and across studies. Theoretically and methodologically, the studies are grounded in the field of economics and communication science. Recapitulating the process of the research project, this case study reports on the unique research designs of each study, the methods employed, research practicalities as well as the challenges faced, and the lessons learned. In terms of methodologies, this case study covers interview and survey studies, content analyses (automated and manual) as well as time-series analyses and network analyses.
Physical Description:1 online resource : illustrations.
Bibliography:Includes bibliographical references and index.
ISBN:9781526492890
152649289X