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chapter notes

by: Gabriela Saint-Louis

chapter notes Psych 2101

Marketplace > Psychlogy > Psych 2101 > chapter notes
Gabriela Saint-Louis
GPA 3.04
Research Methods
Prof. Rutz

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Research Methods
Prof. Rutz
Class Notes
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This 3 page Class Notes was uploaded by Gabriela Saint-Louis on Friday April 3, 2015. The Class Notes belongs to Psych 2101 at a university taught by Prof. Rutz in Fall. Since its upload, it has received 194 views.


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Date Created: 04/03/15
Chapter 10 Complex Experimental Designs gt Define Factorial design and discuss reasons a researcher would use this design 0 Factorial designs designs with more than one independent variable or factor in a factorial design all levels of each independent variable are combined with all levels of the other independent variables the simplest factorial designKnown as a 2x2 two by two factorial design has two independent variables each having two levels 0 reasons why a researcher would use this design I closer approximation of realworld conditions in which independent variables do not exist by themselves I researchers recognize that in any given situation a number of variables are operating to affect behavior gt Describe the information provided by main effects and interaction effects in a factorial design 0 Factorial designs yield two kinds of information main effect amp Interraction effects I Main effect information about the effect of each independent variable taken by itself 0 a main effect is the effect each variable has by itself 0 ex the main effect of independent variable A a confederate sociability is the overall effect of the variable on the dependent measure the main effect of independent variable B confederate food intake is the effect of number of M7Ms that the confederate ate on the number of MampMs consumed by the subject 0 the main effect of each independent variable is the overall relationship between that independent variable and the dependent variable 0 for independent variable A is there a relationship between sociability and food intake Overall main effect means are obtained by averaging across all participants in each group I Interaction effect If there is an interaction between two independent variables the effect of one independent variable depends on the particular level of the other variable 0 the effect that an independent variable has on the dependent variable depends on the level of the other independent variable 0 When we say it depends we are usually indicating that some sort of interaction is operatingit depends on some other variable 0 ex a friend asks if you want to go to movie whether you want to go may re ect an interaction between two variables 1 is there an exam coming up and 2 who stars in the movie if there is an exam coming up you will not go under any circumstance If you do not have an exam to worry about your decision will depend on whether you like the actors in the mov1e gt Describe an IV X PV design 0 One common type of factorial design includes both experimental manipulated and non experimental measured or nonmanipulated variables 0 IV X PV independent variable by participant variable 0 Allows researchers to investigate how different types of individuals respond to the same manipulated variable participant variables personal attributes such as gender age ethnic group personality characteristics and clinical diagnostic category 0 the simplest IV x PV design includes one manipulated independent variable that has at least two levels and one participant variable with at least two levels ex the two levels of the subject variable might be two different age groups groups of low and high scorers on a personality measure or groups of males and females gt Discuss the role of simple main effects in interpreting interactions 0 Interactions an analysis of variance is used to assess the statistical significance of the main effects and the interaction in a factorial design When a significant interaction occurs the researcher must statistically evaluate the individual means 0 Simple Main Effects When there is a significant interaction the next step is to look at the simple main effects A simple main effect analysis examines mean differences at each level of the independent variable Recall that the main effect of an independent variable averages across the levels of the other independent variable with simple main effects the results are analyzed as if we had separate experiments at each level of the other independent variable gt compare the assignment of participants in an independent groups design a repeated measures design and a mixed factorial design 0 Independent groups design I in a 2 x 2 factorial design a different vroup of participants will be assigned to each of the four conditions I ex food intake modeling study with a 2 X 2 design and want to have 10 participants in each condition you will need a total of 40 different participants 0 Repeated measures design I the same individuals will participate in all conditions I ex study on the effects of marijuana one factor is marijuana 9marijuana treatment verses placebo controland the other factor is task difficulty 9 easy versus difficult in a 2 X 2 completely repeated measures design each individual would participate in all of the conditions by completing both easy and difficult tasks under both marijuana treatment conditions 0 Mixed factorial design I combination of both independent groups design and repeated measures


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