PSYCH 100A Lecture Notes - Lecture 12: Post Hoc Analysis, Complement Factor B, Analysis Of Variance
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Factorial design: a research study that involves more than one factor (independent variable) Factorial design notation: each number represents a factor, value of each number provides the levels for each factor. 3 x 3 x 4: our example. Factors: room temperature (50, 70, 90), humidity (low, high) Interaction of variables: can ask whether the effect of one variable is dependent on the level of another variable. Economy: requires fewer participants than conducting two one-factor designs. Compute average of the cell means across rows and down columns. Main effect for factor a: difference between low humidity and high humidity, ignoring room temperature. Main effect for factor b: difference between room temperature means, ignoring humidity. Factor a: humidity: h0: a1 = a2, h1: a1 a2, f = Factor b: room temperature: h0: b1 = b2 = b3, h1: at least one mean is different from another, f =
