Pearson r in thesis

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In this guide, I will show you how to perform a Pearson correlation test in Microsoft Excel. This includes determining the Pearson correlation coefficient as well as a p value for the statistical test. A Pearson correlation is a statistical test to determine the association between two continuous variables. The output is given as the Pearson correlation coefficient r which is a value ranging from -1 to 1 to indicate the strength of the association. If you want to learn more about about the test, including the test assumptions, then check out my Pearson correlation explained article.
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How To Perform A Pearson Correlation Test In Excel

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How to Report Pearson's r (Pearson's Correlation Coefficient) in APA Style

The APA has precise requirements for reporting the results of statistical tests, which means as well as getting the basic format right, you need to pay attention to the placing of brackets, punctuation, italics, and so on. Happily, the basic format for citing Pearson's r is not too complex, as you can see here the color red means you substitute in the appropriate value from your study. Imagine we have conducted a study of 40 students that looked at whether IQ scores and GPA are correlated. We might report the results like this:. There are two ways to report p values. The first way is to cite the alpha value as in the second example above. The second way, very much the preferred way in the age of computer aided calculations and the way recommended by the APA , is to report the exact p value as in our main example.
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To illustrate how to use Correlation I would use dataset of Islamic. In this example I am interested in assessing the correlation between attitude towards Islamic banking and the Social Influence. For Pearson Correlation, SPSS provides you with a table giving the correlation coefficients between each pair of variables listed, the significance level and the number of cases. The results for Pearson correlation are shown in the section headed Correlation.
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You want to tell your reader what type of analysis you conducted. You also want to tell your reader why this particular analysis was used. What did your analysis tests for?
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