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Stepwise Multiple Regression

Stepwise Multiple Regression
Ong et al. (2011) conducted an interesting study that examined the relationship between narcissism and behavior on Facebook in 275 adolescents. They measured the Age, Gender and Grade (at school), as well as extroversion and narcissism. They also measured how often (per week) these people updated their Facebook status (FB_Status), and also how they rated their own profile picture on each of four dimensions: coolness, glamour, fashion ableness and attractiveness. These ratings were summed as an indicator of how positively they perceived the profile picture they had selected for their page (FB_Profile_TOT). They hypothesized that narcissism would predict,above and beyond the other variables, the frequency of status updates, and how positive aprofile picture the person chose. To test this, they conducted two hierarchical regressions:one with FB_Status as the outcome and one with FB_Profile_TOT as the outcome. In bothmodels they entered Age, Gender and Grade in the first block, then added extroversion(NEO_FFI) in a second block, and finally narcissism (NPQC_R) in a third block. Use the provided output to answer the questions below.
This regression will assess whether narcissism predicts, above and beyond the other variables, the rating of profile pictures.
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Block 1 Age, Gender, Grade
Block 2 Extraversion
Block 3 Narcissism
Variables Entered/Removeda
Model Variables Entered Variables Removed Method
1 Extraversion - Totalb . Enter
2 NPQC-R Totalb . Enter
a. Dependent Variable: Sum of Profile picture ratings
b. All requested variables entered.
Model Summaryc
Model R R Square Adjusted R Square Std. Error of the Estimate Change Statistics
R Square Change Sig. F Change
1 .355a .126 .121 3.438 .126 .000
2 .504b .254 .245 3.187 .127 .000
a. Predictors: (Constant), Extraversion - Total
b. Predictors: (Constant), Extraversion - Total, NPQC-R Total
c. Dependent Variable: Sum of Profile picture ratings

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