Session 3b Flashcards

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1
Q

One-way ANOVA purpose

A

To test whether the means of k (≥ 2) populations significantly differ.

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2
Q

what does the F -statistic (or F ratio) do

A

We can assess the relative magnitude of the two different parts of variance

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3
Q

One-way ANOVA needs sample estimates of what to do the computatiojns

A

MSM and MSR
An analogy: Note that sample variance is obtained by dividing the Sum of Squared deviations (SS) by its degrees of freedom.

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4
Q

Total SS (=variation) can be divided into two parts:

A

SSM

SSR

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5
Q

what is SSm

A

Variation due to the model, or between-group variation

variation between the sample means (across levels of the IV)

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6
Q

what is SSR

A

Residual variation, or within-group variation

variation that exists among the observations within a particular group, not explained by the IV

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7
Q

what is SST

A

the aggregate variation/dispersion of individual observations across groups (the sum of SSM and SSR)

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8
Q

for SSM, If there more variation in population means, we should expect what

A

more variability between sample means

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9
Q

for SSR, what do you do

A

Summing the variation within each group and then adding over all groups

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10
Q

MST , MSM , and MSR are often called what

A

the total, model (between-group), and residual (within-group) Mean Squares, respectively

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11
Q

what are the 2 ways to calculate effect size

A

Pearson’s correlation coefficient

Omega

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12
Q

what is Pearson’s correlation coefficient

A

Also called η (eta) or a correlation ratio

a little biased

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13
Q

what is Omega

A

similar to Pearson’s but UNbiased

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14
Q

what is Grand Mean (X) (bar over X)

A

The average of all the values when the factor is ignored

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