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

✍ Scribed by Willem Mertens, Amedeo Pugliese, Jan Recker (auth.)

Publisher: Springer International Publishing
Year: 2017
Tongue: English
Leaves: 170
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-x
Introduction....Pages 1-6
Comparing Differences Across Groups....Pages 7-19
Assessing (Innocuous) Relationships....Pages 21-36
Models with Latent Concepts and Multiple Relationships: Structural Equation Modeling....Pages 37-59
Nested Data and Multilevel Models: Hierarchical Linear Modeling....Pages 61-72
Analyzing Longitudinal and Panel Data....Pages 73-98
Causality: Endogeneity Biases and Possible Remedies....Pages 99-134
How to Start Analyzing, Test Assumptions and Deal with that Pesky p-Value....Pages 135-156
Keeping Track and Staying Sane....Pages 157-159
Back Matter....Pages 161-164

✦ Subjects

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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