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Quantitative Data Analysis: A Companion for Accounting and Information Systems Research
Introduction.- Comparing differences across groups.- Assessing (innocuous) relationships.- Models with latent concepts and multiple structural equation modeling.- Nested data and multilevel hierarchical linear models.- Analyzing longitudinal and panel data.- Endogeneity biases and possible remedies.- How to start analyzing, test assumptions, and deal with that pesky p-value.- Keeping track and staying sane.
176 pages, Paperback
Published October 8, 2016
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