Quantitative Data Analysis

A Companion for Accounting and Information Systems Research

Business & Finance, Economics, Statistics, Nonfiction, Computers, Application Software, Business Software
Cover of the book Quantitative Data Analysis by Willem Mertens, Amedeo Pugliese, Jan Recker, Springer International Publishing
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Author: Willem Mertens, Amedeo Pugliese, Jan Recker ISBN: 9783319427003
Publisher: Springer International Publishing Publication: September 29, 2016
Imprint: Springer Language: English
Author: Willem Mertens, Amedeo Pugliese, Jan Recker
ISBN: 9783319427003
Publisher: Springer International Publishing
Publication: September 29, 2016
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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