PSYCH 2300 Chapter Notes - Chapter 8: Covariance, Causal Inference, Internal Validity
19 Aug 2016
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Association claim that describes relationship found between two measured variables: review: describing associations between two quantitative variables. Describe relationship between two measured variables using scatterplots and correlation coefficient r. Direction and magnitude: describing associations with categorical data. One variable is plotted on x-axis and the other on the y-axis. More common to use bar graph to represent results. An arithmetic average; a measure of central tendency computed from the sum of all the scores in a set of data, divided by the total number of scores. A statistical test used to evaluate the size and significance of the difference between two means. When both variables are measured, the study is. Relevant to ask about construct validity of each variable. Overview: asking about factors that could have affected scatterplot and correlation coefficient r. The magnitude of a relationship between two or more variables. Strong when applied to effect size is that strong effect sizes enable predictions that are more accurate.
