mccutchen ch10 fall 12

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  • 7/29/2019 McCutchen Ch10 Fall 12

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    CHAPTER 10

    COMPLEX EXPERIMENTAL

    DESIGNS

    Dr. Rodica Ghinescu

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    INCREASING THE NUMBER OF

    LEVELS OF AN INDEPENDENT

    VARIABLE

    Provides more information about the

    relationship than a two level designComparing Two or More Groups

    I.E. How dogs, cats, and birds as opposed

    to dogs alone have beneficial effects on

    nursing home residents

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    INCREASING THE NUMBER OF

    INDEPENDENT VARIABLES:

    FACTORIAL DESIGNS

    Factorial Designs: Designs with more

    than one independent variable (orfactor)

    Simplest Factorial Design

    2 x 2 factorial designHas two independent variables

    No of levels of first IV x no levels of second

    IV x No of levels of 3rd variable

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    Examples of factorial designs

    2 x 3 (two by three design) has two

    independent variables; the first

    independent variable has 2 levels; the

    second independent variable has 3 levels

    Can easily determine the number of

    conditions in the experiment by multiplying

    the number of levels in each factor

    6conditions here

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    2 x 2 factorial design

    Gender (IV B) Obesity(IV A)

    obese not obese

    Overall means

    (main effect of B)

    Woman 13 41 27.0

    Man 13 18 15.5

    Overall means (maineffect of A)

    13 29.5

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    INCREASING THE NUMBER OF

    INDEPENDENT VARIABLES:

    FACTORIAL DESIGNS

    Interpretation of Factorial Designs

    Main effects of an independent variable arethe effects of each independent variable

    while controlling for the effects of the other

    independent variable(s)

    Interaction between the independentvariables occurs when the influence of one

    independent variable is different at different

    levels of the other independent variable.

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    INCREASING THE NUMBER OF

    INDEPENDENT VARIABLES:

    FACTORIAL DESIGNS

    Interactions and Moderator Variables

    Outcomes of a 2 x 2 Factorial Design1. There may or may not be a significant main effect for

    independent variable A

    2. There may or may not be a significant main effect forindependent variable B

    3. There may or may not be a significant interaction between

    the independent variables(See results in next five slides)

    Interactions and Simple Main Effects Simple main effect of type of questioner

    Simple main effect of type of question

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    INCREASING THE NUMBER OF

    VARIABLES: FACTORIAL

    DESIGNS

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    INCREASING THE NUMBER OF

    INDEPENDENT VARIABLES:

    FACTORIAL DESIGNS

    Assignment Procedures and Factorial

    Designs Independent groups design

    Repeated measures design

    Mixed factorial design using combinedassignment

    C S G O

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    INCREASING THE NUMBER OF

    INDEPENDENT VARIABLES:

    FACTORIAL DESIGNS

    INCREASING THE NUMBER OF

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    INCREASING THE NUMBER OF

    INDEPENDENT VARIABLES:

    FACTORIAL DESIGNS

    INCREASING THE NUMBER OF

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    INCREASING THE NUMBER OF

    INDEPENDENT VARIABLES:

    FACTORIAL DESIGNS