Week 12 Flashcards

(16 cards)

1
Q

A hypothesis-testing procedure that is used to evaluate mean differences between multiple treatments (or populations)

A

Analysis of variance

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2
Q

variation in observations that are the result of factors related to the experimental differences between groups

A

systematic variability

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3
Q

the variability that arises from differences between groups, which includes treatment effects and error

A

between groups variability

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4
Q

a series of t tests performed on each pair of group means with a modified alpha level

A

Bonferroni test

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5
Q

An analysis of variance that uses multiple grouping variables, instead of just one, to look for group mean differences

A

factorial ANOVA

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6
Q

the mean of a group of averages

A

grand mean

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7
Q

used to categorize data into groups

A

grouping variable

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8
Q

A sample variance that measures the mean of the squared deviations

A

mean square

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9
Q

thought to change as a function of changes in a predictor (independent) variable

A

outcome variable

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10
Q

A test that is conducted after an ANOVA with more than two treatment conditions where the null hypothesis was rejected

A

post hoc test

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11
Q

Any deviations between a person and that person’s group mean caused only by chance

A

random error

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12
Q

An analysis of variance that measures each study subject three or more times to look for a change

A

repeated measures ANOVA

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13
Q

A post hoc test for ANOVA that uses an F ratio to evaluate the significance of the difference between any two treatment conditions

A

Scheffé test

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14
Q

The reasons that scores differ from one another

A

sources of variability

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15
Q

A popular post hoc analysis for ANOVA that makes adjustments based on the number of comparisons

A

Tukey’s honestly significant difference

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16
Q

The variability that arises from differences that occur within each group due to individual differences among participants

A

within-groups variability