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matheusfacure / python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
https://matheusfacure.github.io/python-causality-handbook/landing-page.html
MIT License
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Issue: Chapter 11 #223

Closed HectorLira closed 2 years ago

HectorLira commented 2 years ago

There is an issue on chapter 11, in the following paragraph (last sentence, word standardized):

Simply comparing those with and without the intervention, we can see that the treated have an achievement score that is, on 
average, 0.3185 (0.4723 - 0.1538) higher than the untreated. But is this big or small? I know that interpreting standardised 
outcomes can be challenging, but bear with me for a moment. I think it is worth going through this because it won’t be the last 
time you will encounter standardized scores.

It should be

Simply comparing those with and without the intervention, we can see that the treated have an achievement score that is, on 
average, 0.3185 (0.4723 - 0.1538) higher than the untreated. But is this big or small? I know that interpreting standardised 
outcomes can be challenging, but bear with me for a moment. I think it is worth going through this because it won’t be the last 
time you will encounter standardised scores.

Both are actually correct, one uses American standard (standardized) and the other one uses English standard (standardised), but I guess the book is following the English standard (all words ending in -ised vs. -ized and words like instil vs. instill).

matheusfacure commented 2 years ago

Actually, I'm using whatever google docs can correct, which in this case is the American standard. I'll make it consistent, thanks!