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PS2024

and then she says to me "kill me now kill me now kill me now"

TermDefinition
systematic source of variability/systematic variance variance due to the manipulations we have introduced in the study (in other words those that are under our control, our effects)
unsystematic source of variability/unsystematic variance error variance; due to chance factors which are typically out of our control and which have not been varied systematically across participants in the study.
t-test statistical test for comparing two different means
ANOVA/analysis of variance statistical test allowing comparison of more than two different means
within group variation = experimental error; assumed the same between all groups individual differences/experimenter error/chance factors
between group variation why means differ across groups condition effects + experimental error
F ratio between group variation / within group variation = 1 if no condition effects > 1 if condition effects
type 1 error rejecting the null hypothesis where it should have been accepted defined by α-level
α-level the probability level on which the decision to accept the null hypothesis is based (usually p > 0.05)
effect size family of indices giving us information about the strength of effect(s) allows: assessment of treatment magnitude (IV on DV) comparison of effects with other studies aggregation of results for meta analysis estimation of required sample size
eta-squared (η²) η² = SSeffect/SStotal proportion of total DV variance attributed to an effect closer to 1 = larger effect
partial eta-squared (partial η²) ηp² = SSeffect/(SSeffect + SSerror) less biased than η² (takes less of design into account)
ω2 measure of effect size estimate of how much variance in the DV is accounted for by the IVs less biased alternative to eta-squared, especially when sample sizes are small. ω2 = (SSeffect – (dfeffect)(MSerror)) / (MSerror + SStotal)
ωp2 ωp2 = (SSeffect – (dfeffect)(MSs/Cells)) / (SSeffect + (N - dfeffect)MSs/Cells)
Created by: aquamelon
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