Front | Back |
How to identify interactions
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- most often if lines are not parallel there is an interaction
-Significant interactions are more important than main effects |
Within-subjects designs
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Comparing participants with themselves
Error variance is reduced More power to detect differences |
Problems With within-subjects designs
and how to control |
Might have carryover effect from on experience to the other
To control for this use intrasubject counterbalancing, |
Advantages of within-subjects designs
(good exam question) |
All groups are equal on every factor at the beginning
Its more sensitive to changes in the treatment effect Total number of participants can be smaller |
When can you not use within subjects designs
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When the treatment has a lasting effect or the purpose of the study is to test for lasting effects
When the experiment is sensitive to time-related effects - order effects are brought about through continued repitision of the tasks - fatigue effects: a decline in performance - practice effects: an improvement in performance |
Counterbalancing
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Each condition has to occur equally as often
And in a different order where each precedes every other one equal number of times |
Intragroup counterbalancing
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Every possible sequence appears at each presentation of the treatment
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Incomplete counterbalancing
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Each condition occurs equally as often
but does not precede and follow the other conditions an equal number of times this is used when complete counterbalancing is difficult |
What will counterbalancing not control for
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Differential order effect
Presence of treatment-by-order effect The treatment effects depend on the order of presentation |
Repeated measures in a within subjects design
Why is it used |
To study psychological process over time
Used lots in developmental research Used for studying learning processes and determining confound of practice effects |
Mixed Designs
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Include both within and between subject components
Ex. if we want to know if peer victimization changes for girls and boys across kids - Between factor is sex - Wtihin factor is age, collect data over 5 years |
Matched-Subjects Design
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Have advantages of both within-subjects and the random assignment of between subjects
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Matching can be used as a control procedure. How
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Pairs are matched on some measure that is highly correlated with the dependent variable
One member is randomly assigned to either group |
Matching can be used as an experimental Procedure
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Randomized block design is the resulting procedure when the matching factor is analyzed
Advantages are: ensures groups in study are equal reduces the within groups variance |
Blocking
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When matching takes place on a nominal scale factor
ex sex |