Psychology 2800E Chapter Notes - Chapter 8: Dependent And Independent Variables, Causal Inference, Statistical Inference
16 Mar 2017
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Example, a person meets their spouse either online or offline. Categorical variables are plotted on a bar graph- each person is not represented by one data point. The graph shows the mean for all the people in each category: quantitative: the measurements have meaning in that 7 on the scale means strongly agree, and 1 means strongly disagree, etc. 7 means more than 6, 6 means more than 5, and so on. When both variables in an association are measured on quantitative scales then a scatterplot is usually the best way to represent the data. Internal validity is not usually relevant: we need to ask about the construct validity of each variable. A strong effect is that it enables predictions that are more accurate. We can not use r to calculate the correlation coefficient because it is for straight lines.
