# Search results

1. ### Logistic Regression Interpretation help

I can't see any problem with Spearman's rho.

3. ### Constrained design of experiments

Skip an other level of the three levels and you will have just two levels. That is your two factor experiment is redused to one factor. To do factorial experiments is to do compromises. You can't get everything.
4. ### Permutation test with skewed data

I am sorry but I don't understand exactly what Obh mean. My point was that when two data sets have different "spread" (but the same mean) then the WMW does not have the promised quality of an error rate of 0.05. The error rate will be larger. And I believe that most people interpret a...
5. ### Don't understand the meaning of ''training a dataset''

The "training" is just to estimate some parameters.
6. ### Two-way ANOVA or one-way ANOVA for time-course experiment with different drugs?

To me it looks like one way anova with repeated measures. Search for it. Here is one example.
7. ### Analyzing data with continuous variables + discrete outcomes

How about a two way anova with time as dependent variable and competition as one factor and person as an other factor? (otherwise: rank as ordered logistic and competition as one factor and person as an other factor. But anova is much easier and more statistically efficient.)
8. ### PCA pre-treatment: Centering or Standardizing?

It is called standardizing. ("autoscaling" is a phrase from a strange software. The subject should define the software, not the other way around.)
9. ### Possible dumb question

Some example data would make it easier for us to understand and to suggest something.
10. ### Possible dumb question

Well, hmm, ehh,.... of course anybody can have whatever opinions they like. As someone said "you can have any opinions but you can not have any facts". But of course you can ask about any facts, especially here at talkstats. Someone said that they wanted this to be a very frindly place. But it...
11. ### Missing Data Imputation - How to choose the best method?

Here is some introductory info about imputation and here is a paper. @jgeconolove What is EMB? A variant of EM, Expectation Maximization algorithm?
12. ### LPA assumuptions

And what is that? And what are " the assumption of justly identified or over identification"?
13. ### Interpreting principal components

Is there a question or comment that MalikMc wish to do here?
14. ### LPA assumuptions

LPA? "Thanks for any help provided."
15. ### Best statistical method for CFU/ml?

What is "CFU/ml"?
16. ### Caclulating Sample Size

Look at this wikipedia page about the power of test at the example section. With sigma/sqrt(n) you can replace that with (sigma/sqrt(n))*sqrt((N-n)/(N-1)) where N is the populations size. But if N is large (say larger than 1000) and n is small (say 50) then you are essentially dividing 1...
17. ### Is Multivariate Analysis possible?

OK! Prove it! Or show a published paper that support that claim!
18. ### Is Multivariate Analysis possible?

I agree with most of what J58 has said. But not with this statement. I believe that it come from one publication where in that application it happened that the sample size was 10 times the number of explanatory variables. In reality they have no relation. Compare the Placket Burman design where...
19. ### Number of measurements

Hmm, usually the sample size is equal to the number or measurements. What do you (altf2) mean by this? Also, one way a sample can be "representative" is when every individual has the same chance of being included, like in simple random sampling.
20. ### Reaction times analysis with Mixed Models

I would guess that reaction times would be a skewed distribution. So maybe a gamma distribution fits. Or maybe a lognormal distribution. Maybe they don't have that on the standard software. Then try to take the logarithm (so that data transforms from the lognormal to the normal distribution).