92. Open SPSS
93. Click: File, Open, Data TELKOM CREPID.SAV 94. Click Data, Aggregate.
94.1 Transfer cc to the Break Variable(s) window
94.2 Transfer the time/frequency and importance variables to the Summaries of Variable(s) window 94.3 Under Save click Write a new data set containing only the aggregated variables (accept the
suggested file name Aggr.Sav)
94.4 Click Paste, highlight the appropriate syntax and execute/run.
95. Click: File, Open, Data AGGR.SAV
96. Click Transfer, click Compute Variable Enter name of the variable that would represent the weight for the first performance dimension [W1] in the Target Variable window and enter tf1_mean*i1_mean in the Numerical Expression window. Click Paste.
97. Repeat the foregoing transfer-compute procedure to compute the weight variables for all the performance dimensions [W1-W4]. Click Paste, highlight the appropriate syntax and execute/run.
98. Click Transfer, click Compute Variable Enter name of the variable that would represent the relative weight for the first performance dimension [RW1] in the Target Variable window and enter W1/(Sum(W1,W2,W3,W4))20 in the Numerical Expression window. Click Paste.
99. Repeat foregoing transfer-compute procedure to compute the relative weight variables for all the performance dimensions [RW1-RW4]. Click Paste, highlight the appropriate syntax and execute/run.
100. Click Transfer, click Compute Variable Enter name of the variable that would represent the sum of the relative weights for the performance dimensions [CHECK1] in the Target Variable window and enter SUM(RW1,RW2,RW33,RW4) in the Numerical Expression window. Click Paste, highlight the appropriate syntax and execute/run21.
101. Click Transfer, click Compute Variable Enter name of the variable that would represent the Rc value of average performance on the first performance dimension [RC_RW1] in the Target Variable window and enter 150500*RW1 in the Numerical Expression window. Click Paste.
102. Repeat foregoing transfer-compute procedure to compute the Rc value of average performance on each of the performance dimensions [RC_RW1-RC_RW4]. Click Paste, highlight the appropriate syntax and execute/run.
103. Click Transfer, click Compute Variable Enter name of the variable that would represent the sum of the Rc value of average performance on each of the performance dimensions [CHECK2] in the Target Variable window and enter SUM(RC_RW1,RC_RW2,RC_RW33,RC_RW4) in the Numerical Expression window. Click Paste, highlight the appropriate syntax and execute/run22.
104 Click Analyze, click Reports, click Case Summaries
20 Make sure the number of brackets facing left and the number of brackets facing right are the same.
21 Check1 should equal 1.
22 Check2 should equal average salary
104.1 Transfer all the variables but cc into the variables window on the right.
104.2 Click Paste, highlight the appropriate syntax and execute/run 105. Save AGGR.SAV as TELKOM CREPID CALCULATIONS 2008.SAV.
106. Click: File, Open, Data TELKOM 2008.SAV
107. Click Transfer, click Compute Variable Enter RC_RW1 in the Target Variable window and enter the value obtained in AFFR.SAV [27309,66] in the Numerical Expression window. Click Paste.
108. Repeat foregoing transfer-compute procedure to compute the Rc value of average performance on each of the performance dimensions [RC_RW1-RC_RW4] in the validation study data set. Click Paste, highlight the appropriate syntax and execute/run.
109. Click Transfer, click Compute Variable Enter the name of the variable that would represent the actual performance achieved by each case on the first performance dimension expressed on a 0-1 scale [R_CRY1] in the Target Variable window and transform the original CRY rating on a 0-200 point scale to a 0-1 point scale by entering CRY1/100 in the Numerical Expression window. Click Paste.
110. Repeat foregoing transfer-compute procedure to transform the original CRY rating on a 0-200 point scale to a 0-1 point scale on each of the performance dimensions [R_CRY1-R_CRY4] in the validation study data set. Click Paste, highlight the appropriate syntax and execute/run.
111. Click Transfer, click Compute Variable Enter the name of the variable that would represent the Rc value of the actual performance achieved by each case on the first performance dimension [RC_CRY1] in the Target Variable window and enter RC_RW1*R_CRY1 in the Numerical Expression window. Click Paste.
112. Repeat foregoing transfer-compute procedure to calculate the monetary worth of the actual performance achieved on each of the performance dimensions [RC_CRY1-RC_CRY4] in the validation study data set. Click Paste, highlight the appropriate syntax and execute/run.
113. Click Transfer, click Compute Variable Enter the name of the variable that would represent the Rc value of the actual performance achieved by each case on the composite criterion [TOTWORTH]
in the Target Variable window and enter SUM(RC_CRY1,RC_CRY2,RC_CRY3,RC_CRY4) in the Numerical Expression window. Click Paste, highlight the appropriate syntax and execute/run.
114. Click Analyze, click Descriptive Statistics, click Frequencies.
114.1 Transfer TOTWORTH into the Variables window on the right.
114.2 De-tick Display frequency tables
114.3 Click Statistics, tick Standard Deviation, Variance, Minimum, Maximum, Mean, Median, Mode, Skewness, Kurtosis.
114.4 Click Continue, click Paste highlight the appropriate syntax and execute/run.
115. Save the data, syntax and output files.
116. Use this standard deviation, along with the correlation between the criterion and the fair inferences derived from the predictor calculated in the fairness analysis, to calculate the utility of the once off
fair use of the predictor to select a single cohort of selectees from an applicant group by means of the appropriate Brogden-Cronbach-Gleser utility formula.