1 way repeated measures ANOVA Flashcards

1
Q

what are the characteristics of a study needed to perform a 1 way repeated measures ANOVA?

A

differences > continuous DV and categorical IV > within participants > paired t test > repeated measures ANOVA

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2
Q

What values are reported in the SPSS write up?

A

F (effect df, error df) = [F value], p = [p value], np2 = [np2 value]

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3
Q

what are the assumptions of a 1 way repeated measures ANOVA?

A

continuous DV, normal distribution, no outliers, equal sphericity

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4
Q

what is equal sphericity?

A

there are no differences in the differences between conditions

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5
Q

what should Mauchly’s test of sphericity show?

A

there should not be a significant outcome (above 0.05). if it is significant and equal sphericity is not assumed then read from the Greenhouse-Geisser row

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6
Q

if the ANOVA is significant what do you do? what do you do if the ANOVA is not significant?

A

if significant run post hoc tests, if not significant don’t run post hoc tests

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7
Q

how on SPSS do you get graphed data e.g. histograms?

A

ANALYSE > DESCRIPTIVE STATS > EXPLORE. put all in the dependent list. select dependents together (instead of factor levels together that is used for between ppts ANOVA)

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8
Q

how on SPSS do you produce error bar graphs for within participant designs?

A

GRAPHS > LEGACY DIALOGS. select simple. select ‘summaries of separate variables’. move all DVs across to ‘error bars’

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9
Q

A 1 way independent ANOVA tests the null hypothesis that all groups are the same. what is this referred to as?

A

an Omnibus Test

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10
Q

give the steps of SPSS to run a 1 way repeated measures ANOVA

A

ANALYSE > GENERAL LINEAR MODEL > REPEATED MEASURES. type the factor name into ‘Within subject factor name’. type the number of levels in ‘number of levels box’ e.g. 3. select add. select define. select the 3 conditions and move them to ‘within subjects variables’. select plots. move the factor into horizontal axis

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11
Q

what options should be selected on SPSS to run a repeated measures ANOVA?

A

descriptive stats, estimates of effect size

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12
Q

how is the treatment effect/between conditions calculated?

A

in the same way as a between participants ANOVA by working out the difference between the grand mean and each condition mean

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13
Q

what do between group differences include in a repeated measures ANOVA?

A

the effect (systematic variance) due to differences in treatment and the error (unsystematic) due to SAMPLING ERROR

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14
Q

why do individual differences not need to be taken into account?

A

because we have the same people in each condition

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15
Q

does only error due to sampling error (and not individual differences) give a greater chance of finding an effect?

A

yes as reduces the amount of error in the measurement

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16
Q

within participant variance includes the error (unsystematic variance) due to ______ _____

A

sampling error

17
Q

effect (between conditions variance) / error (within participant variance) =

A

F ratio

18
Q

what does the F ratio do?

A

provide an indication of the effect with taking the error in the measurement into account

19
Q

if F is _____ than 1 then some of the variance is systematic (due to the treatment effect)

A

greater

20
Q

if F is _____ than 1 then none of variance is systematic (due to the treatment effect)

A

smaller