I need help with assignments regarding SPSSWeek 2 SPSS Analysis and Summary Assignment, with SPSS Data file:Be sure to model your summary after my sample summary posted...

I need help with assignments regarding SPSS












Week 2 SPSS Analysis and Summary Assignment, with SPSS Data file:








Be sure to model your summary after my sample summary posted above.




Research Problem:








Sprague,etal(2011) proposed that, in addition to the frustration-aggression model originally proposed by Dollardetal(1939),among low-income male adolescents, feelings of hostility, and perceived stress may be also related to aggressive behavior. To test this hypothesis, a random sample of (N = ) 200 adolescent males attending Hillcrest High School in Queens (NY) were recruited to participate in the study. To assess their levels of frustration, stress, and hostility, each student completed the Frustration Discomfort Scale (X1;Frust; Harrington, 2005) the Perceived Stress Scale (X2; PSS: Cohen,Kamarck,Mermelstein, 1983), and the Buss-Durkee Hostility Inventory (X3; BDHI; Buss & Durkee, 1957). In addition, for each student, the number of documented classroom aggressive behaviors (Y,Agress) occurring during the week following completion of the questionnaires, was provided by the high school’s Dean of Student’s Office. The data for the study is in the attached SPSS data file.








Assignment Requirements:




1) Write a null and alternative hypothesis which is specific to this research question.




2) Using the attached SPSS data file conduct a Multiple Regression Analyses (MRA) to determine if Feelings of Frustration, Stress, and Hostility are significantly related to Aggression. Then summarizethe results in correct APA style. Use my sample summary as a model for your summary.




3) Conduct exploratory data analyses (EDA) and a multiple regression analysis (MRA) in SPSS in whichAggressis the DV and PSS, BDHI,and Frustare the IVs.




4) Be sure to state the goals of the study, the sample and method. Describe the variables, and the statistical model employed to test the research hypothesis that Frustration, Stress, and Hostility are significant predictors of aggression.




5) Determine of the data meets the assumptions for MRA by conducting the appropriate EDA.




6) Report and interpret R2, R2adj, and 1-R2. Report and interpret the results for the F-test for the significance of R2. Report F,dfs, and the p-value for the significance of F in correct APA style




7) Based on the F test (above), do you conclude that PSS, BDHI,and Frust, account for a significant proportion of the variability in Aggression? Explain your answer




8) Report and interpret the results for the significance test for each unstandardized regression coefficient in correct APA style. And report/interpret thesemipartialcorrelationsry(1.2)andsry(1.2)


2for all predictor variables




9) Based on your analysis is the direct relationship between PSS, BDHI,and Frust and Aggression significant after controlling for the other variables in the model. Be sure to explain the impact of each predictor variable on aggression, include the nature of the relationships (positive or negative)P and the strength of the effect sizesr


2.







Once again, you must model your summary after my sample summary, which waspostedin the Week 1 Discussion Board.










Do not use my footnotes.









References




Buss, A. H., Durkee, A. (1957). An Inventory for assessing different kinds of hostility. J. Consult.Psychol. 21:343–349




Cohen S,KamarckT,MermelsteinR (1983) A global measure of perceived stress. Journal of Health and Social Behavior; 24: 385-396.








Dollard, John; Miller, Neal E.;Doob, Leonard W.;Mowrer, Orval H.; Sears, Robert R. (1939).


Frustration and AggressionLink to an external site.Links to an external site.





New Haven, CT, US: Yale University Press.




Harrington, N. (2005). The Frustration Discomfort Scale: development and psychometric properties. Clinical Psychology & Psychotherapy, 12(5), 374–387.




Sprague, J., Verona, E.,Kalkhoff, W., &Kilmer, A. (2011). Moderators and mediators of the stress-aggression relationship: executive function and state anger. Emotion (Washington, D.C.), 11(1), 61-73.doi:10.1037/a0021788







SEE ATTACHED SPSS DATA FILE












Edited byAnthony R Napolion Feb 23 at 2:45pm



















example
















Effect sizes for MRAR


2andsr


2

















Stat Cats:








The effect size for the overall Multiple Regression Analysis (MRA) model isR


2.









If the (ANOVA) results for the overall model is significant (p<.05)reportand interpret="" the="" effect="" size.="" if="" the="" (anova)="" results="" are="" not="" significant="" (p=""> .05) reportR


2, but do not interpret it.


















Here’s are the results for the overall model:











































































































Model Summaryb

















Model











R











R Square











Adjusted R Square











Std. Error of the Estimate











Durbin-Watson











1











.922a














.850











.829











.41404











2.458











a. Predictors: (Constant), Class Attendance, Statistics Anxiety, SAT Math











b. Dependent Variable: Statistics GPA










































































































































































ANOVAa

















Model











Sum of Squares











df











Mean Square











F











Sig.











1











Regression











20.414











3











6.805











39.694











.000b














Residual











3.600











21











.171



































Total











24.014











24















































a. Dependent Variable: Statistics GPA











b. Predictors: (Constant), Class Attendance, Statistics Anxiety, SAT Math






































For example, for the sample problem, the findings for the MRA are indeed statistically significant(F(3,32) =39.69,p<>R


2= .850, which representa large effect size.


















The guidelines forR


2: are as follows:


















R





2





: .02 = Small effect.








R





2





: .13 = Medium/Moderate effect.








R





2





: .26 = Large/Strong effect.


























The effect sized for each predictor variable in the model issr


2(squaredsemipartialcorrelation). SPSS calls the semipartialcorrelation (sr) Part correlation. Therefore, to obtainsr


2, you must manually squaresr. That wouldbe (sr)2


.


























Here’s the SPSS table for regression coefficients for the Sample Summary Data








For the sample summary problem, the Part correlation, is the semi-partial correlation






























































































































































































































































































































































CoefficientstSig.95.0% CIs for BCorrelationsCollinearity
UnstandardizedStandardizedrprsr
ModelBStd. ErrorBetaLower BoundUpper BoundZero-orderPartialPartToleranceVIF
(Constant)-2.0000.985-2.030.055-4.0490.049
Statistics Anxiety-0.0280.010-0.305-2.840.010-0.048-0.007-0.735-0.527-0.2400.6201.612
SAT Math0.0030.0010.3312.410.0250.0000.0060.8300.4660.2040.3802.635
Class Attendance0.1360.0430.4183.130.0050.0460.2260.8410.5640.2650.4012.494
DV: Statistics GPA

































F


or the variable Statistics Anxiety (sr) = -.240, thereforesr


2= (.240)2= .058, and that would represent a small effect size**





















For the variable SAT-Math (sr) = .204, thereforesr


2= (.204)2=.042, and that would represent a small effect size**


















F


or the variable Attendance (sr) = .265, thereforesr


2= (.265)2=.070, and that would represent a small effect size**


















The guidelines for interpretingsr


2are as follows:





















sr


2: .02 = Small effect.












sr


2: .13 = Medium/Moderateeffect.












sr


2: .26 = Large/Strong effect.


















ReportR


2andsr


2to3 decimal places.






Mar 10, 2023
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