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[DOC File]1 - John Uebersax
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For example, r2 is the percentage of the variance of one variable that is predictable by the other variable. Computing Pearson r for the Biderman et al. data: In SPSS: Analyze -> Correlation -> Bivariate. The ACT and Wonderlic are very highly positively correlated. Test performance is related to all three variables. What’s this mean?
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[DOC File]Regression Analysis: t90 versus t50
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(b) An example in which the full range of X and Y values shows a correlation near zero, but the scores in the restricted range produce a strong, positive correlation. A demonstration of how one extreme data point (an outlier) can influence the value of a correlation.
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[DOC File]UNDERSTANDING THE PEARSON CORRELATION …
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3. Pearson Product Moment Correlation Coefficient, aka, Pearson r. A numeric measure of strength and direction of linear relationship between paired score values. Probably the most useful statistic you can compute. r is a standardized quantity. Its value is always between -1 …
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[DOC File]Correlation Analysis
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Example: There is a statistical correlation between the temperature of sidewalks in New York City and the number of infants born there on any given day. Pearson r. There is a simple and straightforward way to measure correlation between two variables. It is called the Pearson correlation coefficient (r) – named after Karl Pearson who invented it.
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[DOC File]Chapter 12 - The Pearson Product Moment Correlation ...
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Understanding the Pearson Correlation Coefficient (r) The Pearson product-moment correlation coefficient (r) assesses the degree that quantitative variables are linearly related in a sample. Each individual or case must have scores on two quantitative variables (i.e., continuous variables measured on the interval or ratio scales).
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Pearson correlation coefficient - Wikipedia
Pearson correlation coefficient, r. Association Does Not Imply Causation. Example . Among all elementary school children, the relationship between the number of cavities in a child’s teeth and the size of his or her vocabulary is strong and positive. Number of cavities and vocabulary size are both related to age. Example
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[DOC File]Correlation and Regression
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Chapter 12 - The Pearson Product Moment Correlation Coefficient – r – measures the strength of the linear relationship between the paired x and y values in a sample. or . Judging the strength of the linear relationship – according to Cohen (1988), the following can be concluded: r = +/- …
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[DOC File]Correlation Analysis
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Pearson correlation r of log t90 and FITS1 = 0.975. P-Value = 0.000. If you look back to page 19, bottom, you will see that the correlation between log t90 and log t50 is also .975. That is, the correlation between the fitted (predicted) values and the observations y is the same as the correlation between the two variables x = log t50 and y ...
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[DOC File]BIVARIATE CORRELATION - University of Richmond
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Analyze-Correlate– Bivariate – click “Pearson” and “Flag” Move “Test” and “Retest” to “Variables”-click “OK” Pearson Correlation Result: r = 0.947. Split half. Only need one administration. The test items are divided into two halves, with the items of the two halves matched on …
pearson correlation test example

Pearson correlation example