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Quantitative Data Analysis : A Companion for Accounting and Information Systems Research / by Willem Mertens, Amedeo Pugliese, Jan Recker.

By: Contributor(s): Material type: TextTextPublisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017Description: 1 online resource (X, 164 pages 29 illustrations, 20 illustrations in color.)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319826400
Subject(s): Additional physical formats: Print version:: Quantitative data analysis : a companion for accounting and information systems research; Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 658.4038 23 MER
Summary: 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 inches.
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Item type Current library Call number Status Date due Barcode
Book Book Indian Institute of Management Visakhapatnam 658.4038 MER (Browse shelf(Opens below)) Checked out 02/04/2023 001571

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 inches.

Description based on publisher-supplied MARC data.

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