PSY 301 Chapter Notes - Chapter 8: Concurrent Validity, Convergent Validity, Effect Size
Document Summary
Bivariate correlation (association): association that involves exactly two variables. Researchers need to measure the fist and second variable in the same group of people. After data, next stem is to describe relationship between the two measured variables. Done so using scatterplot and correlation coefficient r. Scatterplot: placing one variable on x-axis, and another variable on the y-axis. Calculating r based on how close together the points are along the positive line. Graphing associations when one variable is categorical. X-axis is categorial, then see how the two up and down lines correlate to each other. Analyzing associations when one variable is categorical. Researchers use r, but more common is statistical significance, called t test. A study with all measured variables is correlational. The method of study measured both variables, the study is correlational, and therefore can be associational claim. Supported by study design in which all the variables are measures.
