S2E17: Embracing Your Non-Normality
Quantitude
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Addressing Non-Normality in Data Analysis
This chapter highlights the crucial need to account for non-normality in data analysis, focusing on its implications on statistical models and errors. It explores methods such as Satora-Bentler corrections, ADF, bootstrapping, and two-stage least squares to handle non-normality effectively.
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