Social Science Research Design and Statistics, 2/e Alfred P. Rovai, Jason D. Baker, and Michael K. Ponton Partial Correlation PowerPoint Prepared by Michael.

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Social Science Research Design and Statistics, 2/e Alfred P. Rovai, Jason D. Baker, and Michael K. Ponton Partial Correlation PowerPoint Prepared by Michael K. Ponton Presentation © 2013 by Alfred P. Rovai, Jason D. Baker, and Michael K. Ponton IBM® SPSS® Screen Prints Courtesy of International Business Machines Corporation, © International Business Machines Corporation.

Uses of the Partial Correlation Determine the correlation between two variables after removing the influence of (i.e., controlling for) at least one other variable. Test the hypothesis that there is no linear relationship between two variables in the population after controlling for at least one other variable (e.g., zero correlation in the population between variables 1 and 2 controlling for variable 3;  12.3 = 0). Copyright 2013 by Alfred P. Rovai, Jason D. Baker, and Michael K. Ponton

Open the dataset Motivation.sav. File available at

Copyright 2013 by Alfred P. Rovai, Jason D. Baker, and Michael K. Ponton Follow the menu as indicated.

Copyright 2013 by Alfred P. Rovai, Jason D. Baker, and Michael K. Ponton In this example, we will test the following null hypothesis: H o : There is no linear relationship between perceived learning and classroom community in online students (variables 1 and 2) after controlling for a third variable GPA (i.e.,  12.3 = 0). Select and move Perceived Learning [p_learning], Classroom Community [c_community], and GPA [gpa] to the appropriate boxes as indicated; click OK.

Copyright 2013 by Alfred P. Rovai, Jason D. Baker, and Michael K. Ponton We will choose  =.05 for a two-tailed test (i.e., we are interested if the partial correlation is either positive or negative). The significance value of “.000” indicates a significance level <.001, which is less than.05; therefore, we reject H o and conclude that there is a statistically significant relationship between perceived learning and classroom community after controlling for GPA. Note that the partial correlation is positive thereby indicating a direct relationship between perceived learning and classroom community.

End of Presentation Copyright 2013 by Alfred P. Rovai, Jason D. Baker, and Michael K. Ponton

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