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12 Cards in this Set
- Front
- Back
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what 1-way ANOVA does
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finds level-effect variance
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1-way ANOVA variables
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1DV, 1 IV (2 or more levels)
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1-way ANOVA assumptions
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homoskedasticity
normally distributed scores independence of scores |
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ANOVA f-value
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f<(or equal to) 1 when H0
f > 1 if H1 |
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1-way ANOVA post-hoc - assume no effect
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more conservative, increased type 2 error
bonferroni - estimation sheffe - very conservative sidak - more exact tukey's HSD - studentised t and studentised range distribution |
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studentised range distribution (SRD)
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1 value that all comparisons must exceed for sig.
2 samples from N.D. - diff. in means, repeat to find distribution of diff. 3 sample from N.D. - diff. between largest and smallest, repeat |
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1-way ANOVA post-hoc - assume effect
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less conservative, increased type 1 error
PLSD - least conservative, p-value for each comparison (like t-test) Neuman-Keuls - similar to Tukey's HSD but rank the means, tells you where diff's lie |
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which 1-way ANOVA post-hoc?
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depends on study and previous research
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R^2
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proportion of variance explained by all factors (and interactions)
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eta^2
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proportion of variance explained by a factor
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adjusted r^2 (and omega^2)
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estimate
proportion of variance explained by a factor in the population |
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as no. levels increases
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chance of type 1 error increases
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