COMM 88 Lecture Notes - Lecture 14: Interrupted Time Series, Experiment, Time Series

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14 Jun 2018
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Comm 88 Lecture 14
May 22, 2018
Pre-experiments and Threats to Internal Validity (cont.)
Threats to internal validity
Threats related to pre-testing (or measures over time):
Mortality
Reactivity effects:
Participant’s reaction to being studied, rather than to IV/treatment, influences DV
Demand characteristics
Hawthorne effect
Placebo effect
So, how to remove/control these threats?
Conduct a TRUE experiment!
Random assignment to proper conditions
Be sure to treat groups equally - all group(s) get equal time, attention, etc.
Experimenter effect/bias - experimenter’s behavior or attitudes, rather than treatment (IV),
influences DV
How to control experimenter effects?
Same thing again (true experiment, etc.) but also
Use “double blind” procedure
Automate (or script) the experiment
Quasi-experiments
No random assignment, but try to make up for that
Quasi-equivalent control group design
Y1 X1 Y2 (group 1)
Y1 X2Y2 (group 2)
Use pre-test scores to “match” groups before manipulation, also usually match groups on
other aspects
Time series designs- track many observations over time, before and after a manipulation
Single-group interrupted time series design
Y1 Y2 Y3 Y4 X1 Y5 Y6 Y7 Y8 (group 1)
Improves upon the “one-group pretest-posttest”
Variation: take treatment away and measure again
Multiple time series design
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