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10 Cards in this Set
- Front
- Back
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factorial design
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an ANOVA design in which two or more factors are studied simultaneously
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main effect
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the mean differences among the levels of one-factor averaged across the levels of the other factor
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how many null hypotheses for main effects
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two
null hypothesis for row factor and null hypothesis for column factor when only two levels of factors, can either be directional or nondirectional |
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interaction (between factors)
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the joint effect of the two independent variables that cannot be predicted from the main effects...if the test for interaction is significant, it means that the effect of one factor depends on the level of the other factor
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ordinal interaction
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an interaction for which the relative ranks for the levels of one factor are the same at all levels of the other factor...the lines do not cross
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disordinal interaction
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an interaction for which the relative ranks for the levels of one factor differ across levels of the other factor...the lines cross
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we must be very careful when reporting main effects if there is a _________ interaction
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disordinal interaction
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ask zuowei why we have to be careful with main effects
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ask zuowei why we have to be careful with main effects
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SSrxc =
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SStotal - (SSwc + SSr + SSc)
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mixed two factor within subjects design is
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factorial design but repeating the subjects for each column, or something like that
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