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2017 | OriginalPaper | Chapter

8. How to Start Analyzing, Test Assumptions and Deal with that Pesky p-Value

Authors : Willem Mertens, Amedeo Pugliese, Jan Recker

Published in: Quantitative Data Analysis

Publisher: Springer International Publishing

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Abstract

This chapter discusses the steps to take before any of the analyses discussed in earlier chapters. Although it may seem counterintuitive to put this information in the last chapter, experience teaches us that these are things people do not want to read first when they embark on their analysis journey. We all start out with a big idea and full of courage, but all too often our courage is blown to bits because words and terms like “homoscedasticity,” “skewness,” and “multivariate normality” make our heads spin and our plans seem impossible. However, we hope that, after you have gotten a kick from seeing first results with the method of your choice, you are now ready to learn about all the things you should have done first—the things that make your results credible.

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previous chapter Causality: Endogeneity Biases and Possible Remedies
next chapter Keeping Track and Staying Sane
Footnotes
1
As an example, software like STATA and SAS allow you to use text (or do-files, in STATA terms) to record the steps taken to clean the data and run the analyses.
 
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Metadata
Title
How to Start Analyzing, Test Assumptions and Deal with that Pesky p-Value
Authors
Willem Mertens
Amedeo Pugliese
Jan Recker
Copyright Year
2017
Book
Quantitative Data Analysis

Print ISBN: 978-3-319-42699-0

Electronic ISBN: 978-3-319-42700-3

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-42700-3_8

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