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  1. 1 sty 2017 · The data analysis used to answer the research objectives was descriptive and inferential statistical tests using the IBM SPSS 23.00 program.

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  2. The regression slope, or unstandardised coefficient, (B in SPSS) takes value 9.290 and is the amount by which we predict that SCISCORE changes for an increase of 1 unit in WE ALTH . Both coefficients have associated sta ndard errors that can be used to assess their significance.

  3. calculate the simple slopes at 1 SD below/above the mean of the moderator variable. In this example I assume that you have opened an SPSS file that contains three variables: Your dependent variable, your focal predictor variable, and your moderator variable.

  4. methods for extracting regression slopes for three widespread statistical packages: SPSS 19, R 2.15 and MS Excel 2010 / LibreOffice 3.6 Calc. As a hands-on example, we demonstrate how regression slopes can be extracted to probe for spatial-numerical associations in a parity

  5. Linear Regression in SPSS. In this document we describe how to perform a simple linear regression in SPSS. We show how to get coe cients of a regression line, test for signi cance of the slope, nd R2 statistic, make transformations to variables and much more. We also show how to make plot of the data with regression as well as plotting residuals.

  6. 21 paź 2024 · APA Formatted Summary Example. A simple regression was used to test the hypothesis that hours of sleep would predict quiz scores. Consistent with the hypothesis, hours of sleep was a significant predictor of quiz scores, F(1, 8) = 70.54 F (1, 8) = 70.54, p p < .05. Approximately 89.8% of the variance in quiz scores was accounted for by variance ...

  7. SPSS, standing for Statistical Package for the Social Sciences, is a powerful, user-friendly software package for the manipulation and statistical analysis of data.

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