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Lecture

INTERACTIONS PSYCH 291

4 Pages
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Department
Psychology
Course Code
PSYCH 291
Professor
Joanne Wood

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Description
Topics for complex true experimental designs *Within-Ss designs *Factorial designs *Effects in factorial designs *Main effects *Interactions *Types of interactions *Recognizing interactions *In graphs *In text *Can have combinations of main effects and interactions *But an interaction always implies that any main effect is moderated/qualified Ratings of Manager’s Skill as a Function of Feedback Favourability and Manager’s Gender Types of Interactions *Two PVs can interact in a variety of ways *The important thing here is: *To understand the ways that two variables can work together to produce psychological outcomes *To understand the logic behind the various interaction types *not to memorize the names *Terminative *Catalytic *Synergistic *Fan *Crossover Example of types of effects with 2 PVs *Made-up example: *DV = romantic attraction *2 PVs *PV = charisma *PV = similarity in important attitudes and values *We’ll arbitrarily label the PVs “A” and “B” Fan and Crossover Interactions Types of Interactions Ratings of Manager’s Skill as a Function of Feedback Favourability and Manager’s Gender Lau, Kay, Spencer, 2008 Dutton and Aron Results: Sexual imagery in story Happiness as a function of chocolate condition and time Wood et al. (2009) effects of positive self-statements *DV = state self-esteem (self-esteem at this moment) *PV = Dispositional self-esteem (LSEs vs. HSEs) *IV = positive self-statements vs. no self-statements Wood et al. (2009) effects of positive self-statements Schachter & Gross (1968) Results Cortes & Kamrath—agreeableness and helping self or other *DV = helping *IV = helping other person or helping self *PV = agreeableness Cortes & Kamrath—agreeableness and helping self or other Topics for complex true experimental designs *Within-Ss
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