Ch4: The Statistical Significance of F and Effect Strength” Flashcards
F
Variance Ratio
alpha level or statistical significance level
the provability level at the boundary separating remarkable from unremarkable region
Type 1 Error (False positive)
when we are wrong in rejecting the null hypothesis
Type 2 Error (False negative)
fail to reject the null hypothesis and claim instead that the means are not significantly significant
Strength (or magnitude) of effect measures
indexes of how strongly the scores and the levels of the independent variable are related to each other
Omega squared
the strength of the effect of the independent variable in the population
Eta squared (η2) known as R2
directly intepreted as the proportion of total variance of the dependent vaiable that is accounted for or explained by (or associated with) the independent variable in the sample data set
Eta
correlation cofficient
η2
SSA / SS Total
Cohen’s d
the mean difference can be judged relative to the standard deviations of the groups
d = Y1 bar - Y2 bar / SD
statitical power
more power corresponds to a greater ability to detect a true effect. Driven by three factors: alpha level, effect size in the population, and sample size
effect size
the mean difference of the groups in the population evaluated against the within-groups population variance