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Comprehensive Analysis of Job Applicant Ratings Using Statistical Methods

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This interview study analyzes job applicant ratings by different personnel officers using various statistical procedures.

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Comprehensive Analysis of Job Applicant Ratings Using Statistical Methods

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  1. Interview Example: nknw964.sas Y = rating of a job applicant Factor A represents 5 different personnel officers (interviewers) n = 4

  2. Interview Example: Input data interview; infile‘H:\My Documents\Stat 512\CH25TA01.DAT'; input rating officer; procprintdata=interview; run;

  3. Interview Example: Scatterplot axis2label=(angle=90); symbol1v=circle i=nonec=black; procgplotdata=interview; plot rating*officer/vaxis=axis2; run; title1h=3'Scatterplot of rating vs. officer'; goptionshtext=2;

  4. Interview Example: Means plot procmeansdata=interview; outputout=a2 mean=avrate; var rating; by officer; run; title1h=3'Plot of the means of rating vs. officer'; symbol1v=circle i=join c=black; procgplotdata=a2; plotavrate*officer/vaxis=axis2; run;

  5. Interview Example: Means plot (cont)

  6. Interview Example: random ANOVA procglmdata=interview; class officer; model rating=officer; random officer; run;

  7. Interview Example: random ANOVA (cont)

  8. Interview Example: Variances procvarcompdata=interview; class officer; model rating=officer; run;

  9. Interview Example: ANOVA random (mixed) procmixeddata=interview cl; class officer; model rating=; random officer/vcorr; run;

  10. Interview Example: ANOVA random (mixed) (cont) The Mixed Procedure

  11. Efficiency Example: nknw976.sas Y = fuel efficiency in mpg Factor A = 4 drivers Factor B = 5 cars n = 4

  12. Efficiency Example: Input goptionshtext=2; data efficiency; infile‘H:\My Documents\Stat 512\CH25PR15.DAT'; input mpg driver car; procprintdata=efficiency; run;

  13. Efficiency Example: Scatterplot data efficiency; set efficiency; dc = driver*10 + car; title1h=3'Scatterplot'; axis2label=(angle=90); symbol1v=circle i=nonec=blue; procgplotdata=efficiency; plot mpg*dc/vaxis=axis2; run;

  14. Efficiency Example: Scatterplot (cont)

  15. Efficiency Example: Interaction Plot procmeansdata=efficiency; outputout=effoutmean=avmpg; var mpg; by driver car; title1h=3'Interaction Plot'; symbol1v='A'i=join c=black h=1.5; symbol2v='B'i=join c=red h=1.5; symbol3v='C'i=join c=green h=1.5; symbol4v='D'i=join c=blue h=1.5; symbol5v='E'i=join c=orange h=1.5; procgplotdata=effout; plotavmpg*driver=car/vaxis=axis2; run;

  16. Efficiency Example: Interaction Plot (cont)

  17. Efficiency Example: ANOVA procglmdata=efficiency; class driver car; model mpg=driver car driver*car; random driver car driver*car/test; run;

  18. Efficiency Example: ANOVA (cont)

  19. Efficiency Example: ANOVA (cont) Tests of Hypotheses for Random Model Analysis of Variance Dependent Variable: mpg

  20. Efficiency Example: variances procvarcompdata=efficiency; class driver car; model mpg=driver car driver*car; run;

  21. Efficiency Example: ANOVA procmixeddata=efficiency cl; class car driver; model mpg=; random car driver car*driver/vcorr; run;

  22. Efficiency Example: Interaction Plot (cont)

  23. Service Example: 25.16 (nknw1005.sas) Y = service time for disk drives A = make of drive (3) fixed B = technician performing the service (3) random n = 5

  24. Service Example: input data service; infile'H:\My Documents\Stat 512\CH19PR16.DAT'; input time tech make k; mt = make*10+tech; procprintdata=service; run; title1'Proc glm with tech, make*tech random'; procglmdata=service; class make tech; model time = make tech make*tech; random tech make*tech/test; run;

  25. Service Example: ANOVA

  26. Service Example: /test Tests of Hypotheses for Mixed Model Analysis of Variance Dependent Variable: time

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