Different situation and different experimenter Embed irrelevant

Different situation and different experimenter embed

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Different situation and different experimenter Embed irrelevant questions/measures into pretest as well Solomon four-group design Allows us to assess impact of pretest directly. Pretest treated like a second IV
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Half have pretest half don’t This gives 4 possible combinations Experimental pre-test Control pre-test Experimental no pretest Control no pretest Can check impact of pretest across levels Example: fitness magazine vs control magazine Half were asked questions about depression before hand (in case that put you in a depressed mood and makes you extra sad to see fit bodies) Fitness magazines depressed everyone equally - pretest or not Repeated Measures Design Advantages Fewer participants Gets rid of natural variation (lowers error) Can look at differences within one subject and compare to differences within another subject Better detect an effect Disadvantages Have to take sequence into account Order effects Practice effects (getting better each trial) Fatigue effects (getting bored, tired) Contrast effects (first trial impacts interpretation of second) Example: first trial you assign punishment to a murder case then second trial you assign punishment to a robber. Robber might seem more mild in your mind because murder was so harsh and you are contrasting them. Dealing with order effects 1. Counterbalancing Complete counterbalancing All possible orders are presented an equal number of times Use factorial to figure out trial number needed Doesn’t make sense past 4 levels
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  • Fall '15
  • Dr. Ostovich
  • internal validity, Repeated measures design, fewer participants, self-control group

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