Complex Experimental Designs

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17 Terms

1
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What is the simplest experimental design regarding levels of an independent variable?

It has only two levels of the independent variable (IV).

2
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Why might researchers use three or more levels of an independent variable?

To provide more information about the relationship, especially if a curvilinear relationship is predicted.

3
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What is a factorial design?

An experimental design with more than one independent variable (or factor).

4
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What does a 2x2 factorial design entail?

It has two independent variables, each with two levels, resulting in four experimental conditions.

5
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What are the two kinds of information yielded by factorial designs?

Main effects and interactions.

6
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What is a main effect in the context of factorial designs?

The direct effect of an independent variable on a dependent variable.

7
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What is an interaction in factorial designs?

The effect of one independent variable depends on the particular level of another independent variable.

8
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Why are interactions not obtained in simple experimental designs?

Because only one independent variable is manipulated.

9
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How can interactions be visually represented?

They can be seen easily when the means for all conditions are presented in a graph.

10
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What are the possible outcomes when analyzing a 2x2 factorial design?

There may or may not be significant main effects for independent variable A and B, and there may or may not be a significant interaction.

11
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What statistical method is used to assess the significance of main effects and interactions in factorial designs?

Analysis of variance (ANOVA).

12
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What is the difference between independent groups and repeated measures designs?

Independent groups require different participants for each condition, while repeated measures use the same participants across all conditions.

13
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What is a mixed factorial design?

A design that includes both independent group (between-subjects) and repeated measures (within-subjects) variables.

14
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How can complexity be increased in factorial designs?

By increasing the number of levels of one or more independent variables.

15
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What does a 2x3 design consist of?

Two independent variables, with one having two levels and the other having three levels, resulting in six conditions.

16
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What is the outcome of a 2x2x2 factorial design?

It has three variables, each with two levels, resulting in eight conditions.

17
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What is a potential drawback of designs with many independent variables?

They can become needlessly complex, require large numbers of participants, and yield results that are difficult to interpret.