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Definitions for key terms and concepts in analysis of variance (anova), including main effect, interaction effect, factorial design, planned comparison, post hoc comparison, factor, independent variable, subject variable, f ratio, structural model equation, and assumptions of two-way anova. It also explains the difference between a priori and post hoc comparisons and provides examples of the number of factors and cells in a 2x3x3 design.
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impact of one factor on the dependent variable averaged across the factors TERM 2
DEFINITION 2 Situation in a factorial ANOVA in which a combination of variables has an effect that could not be predicted from the effects of the two variables individually TERM 3
DEFINITION 3 Way of organizing a study in which the influence of two or more variables is studied at once by setting up the situation so that a different group of people are tested for each combination of the levels of the variables TERM 4
DEFINITION 4 comparisons made before collecting data TERM 5
DEFINITION 5 comparisons made after collecting data
independent variable or subject variable implies only in situation of analysis and variance TERM 7
DEFINITION 7 directly manipulated by the researchers TERM 8
DEFINITION 8 characteristic someone brings to a study, which is not directly manipulated TERM 9
DEFINITION 9 Explained varience divided by error variance TERM 10
DEFINITION 10 X GM) = (X M) + (M GM)(X GM) = How much the score deviates from the grand mean(X M) = Deviation of sample score from sample mean(M GM) = Deviation of sample from grand mean due to the independent variable
Populations follow a normal curve Populations have equal variances Observations are independent Dependent variable data are interval or ratio TERM 17
DEFINITION 17 Definition TERM 18
DEFINITION 18 factor TERM 19
DEFINITION 19 variance TERM 20
DEFINITION 20 within groups
cell TERM 22
DEFINITION 22 Analysis of Variance. TERM 23
DEFINITION 23 a. No effect...b. No effect