Quantitative data analysis : a companion for accounting and information systems research
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, a...
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| Main Authors | , , |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Cham :
Springer International Publishing : Imprint : Springer,
2017.
|
| Subjects | |
| Online Access | Full text |
| ISBN | 9783319427003 9783319426990 |
| Physical Description | 1 online resource (x, 164 pages 29 illustrations, 20 illustrations in color.) : online resource |
Cover
Table of Contents:
- Introduction
- Comparing differences across groups
- Assessing (innocuous) relationships
- Models with latent concepts and multiple relationships: structural equation modeling
- Nested data and multilevel models: hierarchical linear models
- Analyzing longitudinal and panel data
- Causality: Endogeneity biases and possible remedies
- How to start analyzing, test assumptions, and deal with that pesky p-value
- Keeping track and staying sane.