PSYC 217 Lecture Notes - Lecture 11: Interrupted Time Series, Discrete Group, Demand Characteristics
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Always have to replicable if you want to generalize the result. When you go from baseline to treatment. Reverse the treatment and goes back to the baseline. Cannot necessarily attribute the changes to the specific treatment. Give multiple exposures and see what happen. Uses pre-existing groups or allows participants to sort themselves into groups. Used when randomization is not possible or realistic. They receive treatment and receive a posttest. Cons: you don"t know what"s the actual change that takes place. Uses a pretest design to eliminate it. They receive a treatment and a posttest. Cons: changes might due to demand characteristic. Cons: they might lie about their frequency of smoking. Cons: you don"t know to what extent the changes are due to the treatment. It"s nonequivalent because you didn"t randomly assign them. Same as nonequivalent control group but with a pretest. Do you think individual differences will have an effect on the result.
