Example of Causal Limitations in a Non-Experimental Factorial Design
Because non-experimental factorial designs rely entirely on measured rather than manipulated variables, researchers must be extremely cautious about inferring causality due to the directionality and third-variable problems. For example, in a non-experimental study linking participants' measured moods to their willingness to have unprotected sex, one cannot definitively claim that mood causes the risk-taking behavior. The observed effect on sexual willingness might instead be caused by an unmeasured third variable that happens to be correlated with the participants' moods.
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Research Methods in Psychology - 4th American Edition @ KPU
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Example of Causal Limitations in a Non-Experimental Factorial Design
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Example of Causal Limitations in a Non-Experimental Factorial Design
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