1 way repeated measures ANOVA Flashcards
what are the characteristics of a study needed to perform a 1 way repeated measures ANOVA?
differences > continuous DV and categorical IV > within participants > paired t test > repeated measures ANOVA
What values are reported in the SPSS write up?
F (effect df, error df) = [F value], p = [p value], np2 = [np2 value]
what are the assumptions of a 1 way repeated measures ANOVA?
continuous DV, normal distribution, no outliers, equal sphericity
what is equal sphericity?
there are no differences in the differences between conditions
what should Mauchly’s test of sphericity show?
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
if the ANOVA is significant what do you do? what do you do if the ANOVA is not significant?
if significant run post hoc tests, if not significant don’t run post hoc tests
how on SPSS do you get graphed data e.g. histograms?
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)
how on SPSS do you produce error bar graphs for within participant designs?
GRAPHS > LEGACY DIALOGS. select simple. select ‘summaries of separate variables’. move all DVs across to ‘error bars’
A 1 way independent ANOVA tests the null hypothesis that all groups are the same. what is this referred to as?
an Omnibus Test
give the steps of SPSS to run a 1 way repeated measures ANOVA
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
what options should be selected on SPSS to run a repeated measures ANOVA?
descriptive stats, estimates of effect size
how is the treatment effect/between conditions calculated?
in the same way as a between participants ANOVA by working out the difference between the grand mean and each condition mean
what do between group differences include in a repeated measures ANOVA?
the effect (systematic variance) due to differences in treatment and the error (unsystematic) due to SAMPLING ERROR
why do individual differences not need to be taken into account?
because we have the same people in each condition
does only error due to sampling error (and not individual differences) give a greater chance of finding an effect?
yes as reduces the amount of error in the measurement