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[DOC File]Interpreting SPSS Output for T-Tests and ANOVAs (F-Tests)
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This can change the output that SPSS produces and reduce the predictive accuracy of your results as well as the statistical significance. Fortunately, when using SPSS to run multiple regression on your data, you can detect possible outliers, high leverage points, and highly influential points.
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[DOC File]SPSS for Beginners - MedStatWeb
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Producing and Interpreting Residuals Plots in SPSS(In a linear regression analysis it is assumed that the distribution of residuals, , is, in the population, normal at every level of predicted Y and constant in variance across levels of predicted Y. I shall illustrate how to check that assumption.
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[DOCX File]Personal Web Space Basics - University of Baltimore
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The ESS should be high compared to the TSS (the ratio equals the R-square). Note for interpreting the SPSS table, column "Sum of Squares": "Total" =TSS, "Regression" = ESS, and "Residual" = RSS If the R-squares of two models are very similar or rounded off to zero or one, then you might prefer to use the F-test formula that uses RSS and ESS.
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[DOC File]Generalized Linear Models Using SPSS
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To run multiple regression analysis in SPSS, the values for the SEX variable need to be recoded from ‘1’ and ‘2’ to ‘0’ and ‘1’. Because the value for Male is already coded 1, we only need to re-code the value for Female, from ‘2’ to ‘0’. Open the . Transform. menu at the top of the SPSS menu bar. Select and click
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[DOC File]Plots of Residuals
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Generalized Linear Models Using SPSS. Generalized Linear Models can be fitted in SPSS using the Genlin procedure. This procedure allows you to fit models for binary outcomes, ordinal outcomes, and models for other distributions in the exponential family (e.g., Poisson, negative binomial, gamma).
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Use and Interpret Logistic Regression in SPSS
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 ...
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Interpreting spss regression output