Quantitative Data Analysis: A Companion for Accounting and Information Systems Research

Authors: Mertens, Willem, Pugliese, Amedeo, Recker, Jan
A guide through the essential steps required in quantitative data analysis, from relatively simple (t-test and ANOVA) to more sophisticated techniques (structural equation modeling and panel data analysis)
Helps in choosing the right method before starting the data collection process, based on the questions to be answered rather than the technique that needs to be learned
Statistics with the math! This book is written in words, not equations

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.

Number of Pages
X, 164
Number of Illustrations and Tables
9 b/w illustrations, 20 illustrations in colour
Topics
Business Information Systems
Statistics for Business, Economics, Mathematical Finance, Insurance
Information Systems and Communication Service
Corporate Governance
Methodology of the Social Sciences



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