Simulations feasible? [General Statistics]
Hi ElMaestro,
Agree.
Agree again.
The inflation can be nasty. See Ruxton’s Table 1.
For N1, N2 (11, 21) and s1, s2 (4, 1) the Type I Error of the conventional t-test is 0.155 (!)
OK, that’s extreme.
IMHO, too many variables. Save your efforts – unless you will publish an entire book full of tables covering any possible combination (GMR, power, CV, sample size ratio, s-ratio).
❝ It will only lead to inflation of type I errors if the alpha for both the pretest and the BE is brainlessly chosen to be 5%.
Agree.
❝ Adjust them, and you're good to go in terms of the type I error.
Agree again.
❝ Choice of actual alpha's is of course a little tricky but that is a mere practicality.
The inflation can be nasty. See Ruxton’s Table 1.
For N1, N2 (11, 21) and s1, s2 (4, 1) the Type I Error of the conventional t-test is 0.155 (!)
OK, that’s extreme.
❝ LMSTFY.
IMHO, too many variables. Save your efforts – unless you will publish an entire book full of tables covering any possible combination (GMR, power, CV, sample size ratio, s-ratio).
—
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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. 🚮
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Complete thread:
- So they implemented Pitman-Morgan Relaxation 2015-02-20 16:31
- I would not apply pretesting Helmut 2015-02-20 18:56
- I would not apply pretesting Relaxation 2015-02-24 13:06
- I would gladly apply pretesting ElMaestro 2015-02-24 14:28
- Simulations feasible?Helmut 2015-02-24 16:05
- Mixed vs. fixed effects (mainly) Helmut 2015-02-24 14:51
- Mixed vs. fixed effects (mainly) Relaxation 2015-02-26 12:50
- I would gladly apply pretesting ElMaestro 2015-02-24 14:28
- I would not apply pretesting Relaxation 2015-02-24 13:06
- I would not apply pretesting Helmut 2015-02-20 18:56