PSYC 1001 1st Edition Lecture 9 Outline of Last Lecture I. Design Studies (Continued)a. Surveyb. CorrelationOutline of Current Lecture I. CorrelationsII. Experimenta. Independent Variableb. Dependent VariableIII. Statistical SignificanceCurrent Lecture-1.0 0 +1.0I. Further from zero:a. The stronger the correlation.b. The better the predictive power.II. Absolute value at the coefficient takes the strength.a. Example: +0.8 is stronger than +0.6.III. Positive or negative pulls the direction of association, not its strengthIV. CORRELATION DOES NOT IMPLY CAUSATION!!!!!!!!V. Experiment: Researcher manipulates one or more variables under carefully controlled conditions and observes changes in behavior or mental processes.a. Independent Variable: Factor that is manipulated to see its effect.b. Dependent Variable: Factor thought to be affected by the independent variable.i. Usually emotions or feelings.c. Control Condition (group): Condition that serves as a comparison for evaluating the effect of treatment.i. This group gets the ‘sugar pill.’d. Experimental Condition (group): Condition that exposes subjects to the treatment.These notes represent a detailed interpretation of the professor’s lecture. GradeBuddy is best used as a supplement to your own notes, not as a substitute.i. They actually get the drug or treatmentVI. Compares differences between or among the groups.a. Statistical Significance: A statistical statement of how likely it is that an obtained result occurred by chance.i. Chance could be little fluctuations the different things each person sees intheir lives.ii. This is not necessarily important.iii. Does not tell you how big the effect is.1. Example: P<0.05: This means the probability that this is due to chance is less than 5/100 or 1 in
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