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● Variables are observed but not controlled or manipulated. ● Permits study of complex processes. ● Little control over phenomena of interest. ● Permits only weak causal inference. |
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● Some variables are manipulated directly while others are observed. ● High control over phenomenon. ● Permits causal inference. |
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Statistical conclusion validity |
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● Accuracy and validity of the statistical methods used in the experiment. |
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● Whether the “measurement device” measures the psychological construct of interest. |
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● Applicability of the results beyond the experiment. |
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● Methodological soundness and lack of bias in the study. |
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● Consistency of scores across multiple tests. |
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Consistency of all parts of treatment. |
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● Consistency of raters within experiment. |
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● Groups are chosen at random, but matched on one or more subject variables. |
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Pre-test/post-test designs |
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● Dependent variable is measured both before and after treatment. |
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● Dependent variable is measured repeatedly during (different levels of) the treatment. |
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● Repeated measures design in which the treatment order differs across subject groups. |
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● An observational experiment in which two or more variables are measured but nothing is manipulated. |
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● An experiment involving only one subject. |
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● Different groups must be sampled at random from a single population! |
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● Since the experiment only uses one group, differences between groups across treatments are irrelevant. |
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Developmental research designs |
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Here “cohort effects” must be minimized. |
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● The person administering the treatment does not know which treatment group the participant is in. ● The person measuring the dependent variable does not know which treatment group the participant is in. |
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● Sometimes scores can improve merely because an experiment is being conducted or because of a trivial response to a change in the level treatment. |
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● Usually manipulation checks are included in order to detect this. |
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