Multiple Regression Analysis Data Set Data Analysis Chapter

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In this study, these variables are considered protective factors. In the third step, childhood SES would be entered. On the fourth step, childhood maltreatment would be entered. The results of the analysis would determine to what extent each of these additional steps adds to the ability to explain the variance in resilience scores. While all of these variables may ultimately be correlated with resilience, either positively or negatively, not all of these variables will continue to "add" something to our ability to predict resilience after the contribution of other variables have been allowed for first. Below is a screen shot of the "Variable View" in SPSS of how the variables would be entered into SPSS in order to be able to conduct a Multiple Regression Analysis.

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Below is a screen shot of the SPSS Data view of the data entered into SPSS for each variable. Gender, Race, Recruitment, Mentor and Family Mentor are all categorical variables, while the remaining variables are interval, or scale variables. Each line in this screen shot represents an individual participant.

After using this sample data set to run a regression analysis, the output is as….....

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