Tagged Questions

1
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0answers
23 views

Computing $\eta_P^2$ from $\eta_G^2$ generalized eta for G*Power

I am trying to perform a power calculation using G*Power. I need $\eta_P^2$, but the ez package for R gives me $\eta_G^2$. I understand the reasons for it doing this, but I still need $\eta_P^2$ for a ...
2
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0answers
38 views

Pretest-posttest plus control design

I am evaluating the effect of an intervention (treatment: a lecture) on the ability to spot behavioral clues of emotions using visual stimuli using pretest-posttest plus control group experimental ...
0
votes
0answers
67 views

Confidence interval of the ratio of two means for very small sample sizes

I have an experiment with 3 tanks for, both, treatment and control. I have used a natural logarithm of response ratio (LnRR) with 95% confidence intervals to examine the effect size of the treatment ...
1
vote
1answer
174 views

Standard deviation for adjusted effect size estimates

I am trying to calculate the effect size for a trait adjusted for my set of nuisance variables. My models looks like this: Trait ~ Dx + Age + Sex Where "Trait" ...
1
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0answers
173 views

Effect sizes from LMM

My question is, how to get effect sizes for a linear mixed model? I am using the following model in SPSS: ...
1
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0answers
66 views

Which 'delta' to use from those returned by 'orddom' package in R with argument 'paired = TRUE'?

I have used the orddom package in R with the argument paired = TRUE to calculate the Cliff’s delta for paired groups, and a ...
0
votes
1answer
41 views

Significance and effect size in treatment design when treatment-response in measured

I have a number of plants and all of them undergo a 'treatment'. Then I measure the amount of plants that react to the treatment and the amount that do not. Is there a way to calculate a test ...
1
vote
0answers
41 views

Simple similarity comparison over time

I've seen that Pearson's r is typically used for evaluation between non-experimental conditions. However, I've also seen Pearson's r used to indicate effect size - is this acceptable? Is it a useful ...
0
votes
0answers
242 views

Implementing McKelvey & Zavoina R2 for drc package in R

I'm implementing the McKelvey & Zavoina pseudo-R2 measure for use with the drc package and intend to open-source the solution and contribute to that project. I ...
0
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0answers
68 views

Articles that describe formulas of how to calculate confidence intervals for the omega-squared effect size?

I'm looking for articles that describe methods of how to calculate CIs for the omega-squared effect size from an one-way ANOVA. The closest I've come is Finch & French (2011) A Comparison of ...
6
votes
0answers
601 views

Effect Size/Mean Squared Error from Linear Mixed-Model in R

I'm trying to report an effect size for a Linear Mixed-Model we've fitted in R. Right now I'm looking at reporting partial eta squared or eta squared. However, to do so I need to calculate the Sums of ...
3
votes
1answer
523 views

Some doubts about using GLMM

I'm analyzing the results of a hormone manipulation experiment. I measured a number of variables at three times in three groups. The groups are different sizes and not all individuals were measured ...
5
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2answers
1k views

Omega squared for measure of effect in R?

The statistics book I am reading recommends omega squared to measure the effects of my experiments. I have already proven using a split plot design (mix of within-subjects and between-subjects design) ...