Cautionary Note on the Two-Step Transformation to Normality
| Autor: | Mikko Rönkkö, Miguel I. Aguirre-Urreta |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Information Systems and Management
media_common.quotation_subject 05 social sciences Two step 050401 social sciences methods Transformation (music) Management Information Systems Human-Computer Interaction 0504 sociology Management of Technology and Innovation Accounting 0502 economics and business Mathematical economics 050203 business & management Software Normality Information Systems Mathematics media_common |
| Zdroj: | Journal of Information Systems. 34:151-166 |
| ISSN: | 1558-7959 0888-7985 |
| DOI: | 10.2308/isys-52255 |
| Popis: | Templeton and Burney (2017) proposed a two-step normality transformation as a remedy for non-normally distributed data, which are commonly found in AIS research. We argue that, rather than transforming the data toward normality, researchers should first seek to analyze and understand the sources of non-normality. Using simulated datasets, we demonstrate three sources of non-normality and their consequences for regression estimation. We then demonstrate that the two-step transformation cannot solve any of these problems and that each source of non-normality can be handled with alternative, existing techniques. We further present two empirical examples to demonstrate these issues with real datasets. |
| Databáze: | OpenAIRE |
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