Skip to main content

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.
Click Here For More Details on How to Work on this Paper......
Need a Professional Writer to Work on this Paper? Click Here and Get this Essay Done ………
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

Comments

Post a Comment

Popular posts from this blog

Logistic Regression Analysis

Logistic Regression Analysis Lacourse, Claes, and Villeneuve (2001) carried out a study to see whether a love of heavy metal could predict suicide risk. Eric Lacourse and his colleagues used questionnaires to measure several variables: suicide risk (yes or no), marital status of parents (together or divorced/separated), the extent to which the person’s mother and father were neglectful, self-estrangement/powerlessness (adolescents who have negative self-perceptions, are bored with life, etc.), social isolation (feelings of a lack of support), normlessness (beliefs that socially disapproved behaviors can be used to achieve certain goals), meaninglessness (doubting that school is relevant to gain employment) and drug use. In addition, the authors measured liking of heavy metal; they included the sub-genres of classic (Black Sabbath, Iron Maiden), thrash metal (Slayer, Metallica), death/black metal (Obituary, Burzum) and gothic (Marilyn Manson). As well as liking, they measured behaviora...
Post a Comment
Read more

Using Excel, find the mean, standard deviation, and 5-number summary of this sample

The most frequently used measures of central tendency for quantitative data are the mean and the median. The following table shows civil service examination scores from 24 applicants to law enforcement jobs: 83        74        85        79 82        67        78        70 18        93        64        27 93        98        82        78 68        82        83        99 96        62        93        58 Using Excel, find the mean, standard deviation, and 5-number summary of this sample. Construct and paste a box plot depicting the 5-number summary. Does the dataset have outliers? If so, which one(s)? Would you prefer to use the mean o...
Post a Comment
Read more

Are there modifiable factors, such as health behaviors that lend themselves to better prevention efforts?

 Identify a current health issue of interest to you e.g diabetes, HIV/AIDS, heart disease etc. On the basis of current epidemiologic evidence, explain the factors that have contributed to the following: the observed trend in mortality rates for this disease, the changes in survival; the changes in incidence. A key concept in epidemiology is that of the levels of prevention.  As a community health nurse, describe primary, secondary, and tertiary prevention interventions related to this health issue.  Are there modifiable factors, such as health behaviors that lend themselves to better prevention efforts?  whatsapp +1(815) 406 9011
Post a Comment
Read more