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Carleton University

Psychology

PSYC 3000

Bruce Hutcheon

Winter

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PSYC3000CDMOCK FINAL EXAMINATIONApril 2012In a 1way withinsubjects ANOVA the sumofsquares term quantifying the stable differences between participants is calculated using all the observations in the entire design T In a 2way withinsubjects design if both variables have 5 degrees of freedom then the degrees of freedom for their interaction is 10F When considering the main effect of treatment A in a 2way ANOVA the larger the standard deviation of the marginal means for treatment A the larger the effect size T The dependent variable in aANOVA is assumed to be nominal fwithinsubjectsAdataF For a test that the correlation coefficient in the population os zero you can increase the power of the tests by increasing n T For a 2way withinsubjects ANOVA the main effects of the treatments and the interaction are all tested using different MS termsT For a 2way mixedErrorfactors ANOVA the main effects of the treatments and the interaction are all tested using different MS terms F For a 2way mixedfactors ANOVA if you know only the values of a b and n Errorthen it is still possible to calculate the betweensubjects df F For a 2way withinsubjects ErrorANOVA if you know the values of a b and n then it is still possible to calculate the betweensubjects df T In a 2way withinsubjects design the number of possible simple effects that can Error2be tested is a times bF The maximum value of h is 1T For treatment A in a 2way design the 22hhpartialvalue ofis always greater than or equal to the value ofT For a 1way design the AA2value of h does not depend on whether you perform a withinsubjects or betweensubjects analysis T The minimum value for Cohens f is 0 T A large Cohens effect size f for an ANOVA means that the null hypothesis will be rejected F If the regression slope for a bivariate dataset is positive then the correlation coefficient will be positive tooT The larger the sample size the smaller the standard error of the regression slope T The larger the slope of the regression line the greater the 22proportion of explained variationF h and r are similar in that they both represent the proportion 22of unexplained variation in a dependent variableF h and r are similar in that they both represent the proportion of explained variation in a dependent variableT The table below shows cell means marginal means and the grand mean for Eysencks experiment on the effects of age and depth of processing ie Age and Recall Condition on the ability of participants to recall items from a random list of wordsThis was a 25 betweensubjects design with n10CountinRhyminAdjectivImagerIntentioggeynOld7006901100134012001006Young65076014801760193013166757251290155015651161What is the marginal mean number of words recalled by participants in the experiment who were instructed to find a word that rhymed with each word on the target list 725 What is the overall effect of all treatments t for Young participants who were asked to attach a vivid image to each kjword on the target list599 What is the interaction effect ab for Young participants who were kjasked to intentionally memorize the words on the target list 210page 1

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