Mertens, Willem, Pugliese, Amedeo and Recker, Jan C. ORCID: 0000-0002-2072-5792 (2017). Quantitative Data Analysis : A Companion for Accounting and Information Systems Research. Cham: Springer. ISBN 978-3-319-42699-0

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This book offers postgraduate and early career researchers in accounting and information systems a guide to choosing, executing and reporting appropriate data analysis methods to answer their research questions. It provides readers with a basic understanding of the steps that each method involves, and of the facets of the analysis that require special attention. Rather than presenting an exhaustive overview of the methods or explaining them in detail, the book serves as a starting point for developing data analysis skills: it provides hands-on guidelines for conducting the most common analyses and reporting results, and includes pointers to more extensive resources. Comprehensive yet succinct, the book is brief and written in a language that everyone can understand - from students to those employed by organizations wanting to study the context in which they work. It also serves as a refresher for researchers who have learned data analysis techniques previously but who need a reminder for the specific study they are involved in.

Item Type: Book, conference item or legal commentary
CreatorsEmailORCIDORCID Put Code
Recker, Jan
URN: urn:nbn:de:hbz:38-89795
DOI: 10.1007/978-3-319-42700-3
Date: September 2017
Publisher: Springer
Place of Publication: Cham
ISBN: 978-3-319-42699-0
Language: English
Faculty: Faculty of Management, Economy and Social Sciences
Divisions: Weitere Institute, Arbeits- und Forschungsgruppen > Cologne Institute for Information Systems (CIIS)
Faculty of Management, Economics and Social Sciences > Business Administration > Information Systems > Chair for Information Systems and Systems Development
Subjects: Data processing Computer science
Management and auxiliary services
Uncontrolled Keywords:
data analysisEnglish
structural equation modelingEnglish
hiearchical linear modelingEnglish
quantitative researchEnglish
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