PSYCH 2220H Chapter Notes - Chapter 15: Psychometrics, Pearson Product-Moment Correlation Coefficient, Descriptive Statistics
19 Aug 2016
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Chapter 15: correlation: the meaning of correlation, the characteristics of correlation. Statistic that quantifies a relation between two variables. The correlation coefficient can be either positive or negative. The correlation coefficient always falls between -1. 00 and 1. 00. It is the strength of the coefficient (also called magnitude), not its sign, that indicates how large it is. An association between two variables in which participants with high scores on one variable tend to have low scores on the other variable. Strength of correlation determined by how close to perfect the data points are: correlation is not causation. Correlations only provide clues to causality; do not demonstrate or test for causality; only quantify the strength and direction of relation between variables. Variable c could be causing the correlation between. The pearson correlation coefficient variable a and b: statistic that quantifies a linear relation between two scale variables ( in population parameter; r in statistic based sample data, calculating the pearson correlation coefficient.
