Spss pearson correlation

    • [DOC File]SPSS for Windows 7

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      SPSS for Windows 13.0 – Correlation and Regression. We’re going to use the . bpdat. data set for analyses in this exercise. Pearson Correlation Coefficient. Click . Analyze. Click . Correlate. Click . Bivariate. Let’s say you want to get the correlation between scores for systolic blood pressure and diastolic blood pressure at time 1. At ...

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    • [DOCX File]Chapter Seven: Correlation and Regression

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      The Pearson’s correlation matrix should look like the one in Figure 7–4. The cells of the table show the Pearson’s r correlation between each variable and each other variable, the level of statistical significance of the relationship (that is, the likelihood that it could have …

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    • [DOC File]Correlations - University of Wisconsin–Platteville

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      The Pearson Correlation Statistic ( r ) ... You should notice that SPSS also reports the correlation of each variable with itself. This value is always 1.0 since a variable is a perfect predictor of itself. Hand in this Correlational matrix and write a brief summary of the Correlational …

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    • [DOC File]Correlation Analysis

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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]UNDERSTANDING THE PEARSON CORRELATION …

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      SPSS© computes the Pearson correlation coefficient, an index of effect size. The index ranges in value from -1.00 to +1.00. This coefficient indicates the degree that low or high scores on one variable tend to go with low or high scores on another variable. A score on a variable is a low (or high) score to the extent that it falls below (or ...

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    • [DOC File]Bivariate Correlation, SPSS

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      Download the Howell data file from my SPSS data page and bring it into SPSS. Close the Homework-Exam1 file. Find the Pearson correlation coefficient for the relationship between the gender and GPA, and then prepare a scatter plot, with linear fit line, for predicting GPA (the vertical, Y axis) from gender (the horizontal, X axis).

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    • [DOCX File]Correlation and Regression Analysis: SPSS

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      Ask for Pearson and Spearman coefficients, two-tailed, flagging significant coefficients. Click OK. Look at the output. With both Pearson and Spearman, the correlations between cyberloafing and both age and Conscientiousness are negative, significant, and of considerable magnitude. The correlation between age and Conscientiousness is small and ...

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