PSY 265 1st Edition Lecture 3Outline of Lecture 2I. Measuring personalityII. Ways to measure personalitya. Interviewsb. Self-report scalesc. Informant reportsd. Experience samplingOutline of Lecture 3I. Measurement and statisticsII. Correlational methodsIII. Pearson ra. Signb. SizeIV. Correlations and personalityLecture 3Measurement and Statistics- Measurements yield numbers and statistics crunch those numbers in order to draw conclusions.- Psychology uses experiments to manipulate and measure variables, but personality psychology rarely use experiments.Correlational Methods- Looks for relationships or links between variables. Is X related to Y?- Results can be confusing or difficult to interpret. X causes Y Y causes X Z causes both X and YPearson r : Basic Statistic- Represents the degree of linear association between two variables- There are two (2) elements that both have three (3) representations: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.Sign- Can be positive or negative.- A perfect negative or inverse relationship is represented by (-1)- No relationship is represented by (0)- A perfect positive correlation is represented by (1)Size- Size of r is also known as the “effect size”- Small is represented by r= .10- Medium is represented by r= .30- Large is represented by r= .50Correlations and Personality- Personality is seen as the independent variable. Personality traits are inner, psychobiological causes that are stable.- A few causal paths can be excluded. Extraversion and self-presentation Being well organized and having poor class attendance- Some causal paths cannot be excluded Neuroticism and stress/health Exercise and