Trial and error [Design Issues]
Hi Silva,
“Sufficiently large” is the term commonly used by statisticians if they want to stay vague and don’t have the balls to come up with a particular number.
Simply give it a try. I guess that for small sample sizes (e.g., 12) in the worst case you will have to start the randomization-algo more than once – with different seeds – in order to get everything balanced.
❝ What do you consider a sufficiently large sample size? ≥34? ≥46? ≥56?
“Sufficiently large” is the term commonly used by statisticians if they want to stay vague and don’t have the balls to come up with a particular number.

Simply give it a try. I guess that for small sample sizes (e.g., 12) in the worst case you will have to start the randomization-algo more than once – with different seeds – in order to get everything balanced.
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Helmut Schütz
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Dif-tor heh smusma 🖖🏼 Довге життя Україна!
![[image]](https://static.bebac.at/pics/Blue_and_yellow_ribbon_UA.png)
Helmut Schütz
![[image]](https://static.bebac.at/img/CC by.png)
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Complete thread:
- Randomization procedure with gender stratification Silva 2014-02-26 12:27
- If possible, yes. Helmut 2014-02-26 13:34
- If possible, yes. Silva 2014-02-26 13:41
- Trial and errorHelmut 2014-02-26 13:53
- Trial and error Silva 2014-02-26 14:05
- Trial and error ElMaestro 2014-02-26 14:45
- Trial and errorHelmut 2014-02-26 13:53
- If possible, yes. Silva 2014-02-26 13:41
- If possible, yes. Helmut 2014-02-26 13:34
