PSYC 201W Lecture Notes - Lecture 6: Lee Cronbach, Abscissa And Ordinate, Covariance
28 Jul 2016
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Reveals degree of statistical association b/w 2 variables: used in both experimental and non-experimental research designs o (usually with non-experimental) Establishes whether naturally occurring variables are statistically related. Correlational research: not manipulating but just measuring variables and seeing if there is relationship o o. X and y are characteristic of same people: whether 2 variables are characteristic of the same people (ie how stressed you are and how much u exercise) X and y are characteristics of different but related people: dif b/w children"s level of self esteem and parents self esteem. See correlation b/w personal characteristic (x) and an environmental characteristic (y: direction of relation. Positive: 2 variables tend to increase or decrease together (ie: job satisfaction and income) Negative: higher scores in one variable is associated with lower scores in the higher var, and vice versa (amount of alcohol consumer and physical dexterity: hypothetical data, graphing bivariate relationships. For variables measured on interval or ratio scale.
