Interpreting spss correlation output
[DOCX File]Review Outline – Exam 2 – Psy 340
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Be familiar with the interpretation of SPSS correlation output. Specifically, In SPSS output, to find the correlation between x and y, follow the row for ‘x’ to the column for ‘y’ and you will find 3 lines of information: First line gives the actual correlation (labeled “Pearson correlation”) Second line gives p value (significance) of correlation. If p < .05, it is significant
[DOCX File]Exercises for an Introductory Statistics Course Using SPSS
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SPSS will open the Output window and display the results that you requested. For each variable write a sentence or two indicating which measure(s) of central tendency would be appropriate to use to describe the center of the distribution and what the values of those statistics mean.
[DOC File]Interpreting SPSS Output for T-Tests and ANOVAs (F-Tests)
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Interpreting SPSS Output for T-Tests and ANOVAs (F-Tests) I. T-TEST INTERPRETATION: Notice that there is important information displayed in the output: The Ns indicate how many participants are in each group (N stands for “number”). The bolded numbers in the first box indicate the GROUP MEANS for the dependent variable (in this case, GPA ...
[DOCX File]Correlation and Regression Analysis: SPSS
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Look at the output. You get the same value of r obtained with the correlation analysis, of course. The r 2 shows that our linear model explains 32% of the variance in cyberloafing. The adjusted R 2, also known as the “ shrunken R 2,” is a relatively unbiased estimator of the …
[DOCX File]Overview - Minnesota State University Moorhead
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SPSS output will be in a section labeled "Custom Hypothesis Tests." Canonical Correlation. In general: The MANOVA procedure but not MANOVA within the multivariate GLM procedure can implement canonical correlation, which is useful for analyzing the relation of a set of covariates to a set of continuous dependents. ...
[DOC File]UNDERSTANDING THE PEARSON CORRELATION …
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The significance test for a Pearson correlation coefficient is not robust to violations of the independence assumption. If this assumption is violated, the correlation significance test should not be computed. SPSS© computes the Pearson correlation coefficient, an index of effect size. The index ranges in value from -1.00 to +1.00.
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