COMM 88 Lecture Notes - Lecture 13: Analgesic, Internal Validity, Experiment
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Note that you use this same analysis for experimental research! For continuous hypotheses that want to show associations. Ex. the more of x, the less of y. A statistical value (let"s call it r ) that relates two (or more) continuous variables (ie. interval/ratio) to each other. Positive r: as x increases, y increases (direct relationship) Negative r: as x increases, y decreases (inverse relationship) Zero (0) being in the exact middle. The further from zero, the stronger the relationship (whether +ve or -ve) If r is zero, then there"s no relationship. Can conclude if variables are related or associated. Cannot conclude if one variable causes the other! More to causation than just a relationship. To test hypotheses of cause and effect. Must be connection between iv and dv. Must establish time order (iv > dv) It"s not a true experiment if one of these elements isn"t there! There are such things as quasi-experiments that we"ll discuss in another lecture.
