These course notes provide a brief overview of correlational research topics. Written in straightforward language, this outline will help students grasp concepts such as bivariate correlation, regression and prediction, factor analysis, among others. (
http://www.naropa.edu/faculty/johndavis/prm2/correl1.html
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This page provides an introduction to correlation and links to a discussion of how to determine statistical significance. (
http://www.surveysystem.com/correlation.htm
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From the home page, click on "Correlation and Regression" to view a menu of statistics calculators and interactive simulations. Includes resources for calculating regressions, confidence intervals, and statistical significance. VassarStats also includes tools for performing statistical computations such as t-tests, ANOVA, ANCOVA, and others. (
http://faculty.vassar.edu/lowry/VassarStats.html
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This Web page from the Knowledge Base discusses the correlation statistic and provides illustrative tables, histograms, and scatterplots. Includes a thorough discussion of how to calculate and test the significance of correlations. (
http://www.socialresearchmethods.net/kb/statcorr.htm
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Test your knowledge of correlations with this interactive demo. Press the "New Plots" button to begin. Match the plots with the correlations, then press "Answers" to see if you are correct. (
http://www.stat.uiuc.edu/courses/stat100//java/guess/GCApplet.html
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These resources from Arizona State University's Measurement, Statistics and Methodological Studies Program were created to help students in learning basic (e.g. power) and advanced statistics concepts (interaction effects, vector space and factor analysis, collinearity). Includes an interactive graphing studio. (
http://research.ed.asu.edu/msms/multimedia/multimedia.cfm
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The American Educational Research Association provides a variety of online resources, including journal abstracts from the American Educational Research Journal. The article, "Gender Differences by Item Difficulty Interactions in Multiple-Choice Mathematics Items," provides an example of correlational research. (
http://www.aera.net/pubs/aerj/abs/aerj3534.htm
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