sas coding for analysis-sail company (hr) data
TRANSCRIPT
A Study on “QUALITY OF WORK LIFE OF EMPLOYEES” At STEEL AUTHORITY OF INDIA LIMTED,
SALEM STEEL PLANT [SSP] USING SAS
By Monica GS
Importing two different data and merging
Proc import datafile="E:\trim 5\James Sir - SAP\Sail\QWL1.xls"out=work.QWL1;run;
Proc import datafile="E:\trim 5\James Sir - SAP\Sail\QWL2.xls"out=work.QWL2;run;
Proc sql;create table work.model asselect *from work.QWL1, work.QWL2where QWL1.CATEGORY=QWL2.CATEGORYorder by QWL1.SLNO;quit;
File 1
File 2
The FREQ Procedure
CATEGORY
CATEGORY Frequency PercentCumulativeFrequency
CumulativePercent
1 28 35.44 28 35.44
2 51 64.56 79 100.00
proc freq data = work.model;tables CATEGORY;run;
frequency
proc means data =work.model;var WELFARE INDUSTRIALRELATIONSHIP EMPLOYEECOMPENSATION EMPLOYEEMOTIVATION CAREERDEVELOPMENT HRP SAFETY;run;
he MEANS Procedure
Variable Label N Mean Std Dev Minimum Maximum
WELFAREINDUSTRIALRELATIONSHIPEMPLOYEECOMPENSATIONEMPLOYEEMOTIVATIONCAREERDEVELOPMENTHRPSAFETY
WELFAREINDUSTRIALRELATIONSHIPEMPLOYEECOMPENSATIONEMPLOYEEMOTIVATIONCAREERDEVELOPMENTHRPSAFETY
79797979797979
3.92405063.46835443.67088613.48101273.84810133.74683544.0506329
0.61544550.79800140.63491410.73136260.71769950.66925820.7662552
3.00000002.00000002.00000002.00000003.00000002.00000003.0000000
5.00000005.00000005.00000005.00000005.00000005.00000005.0000000
DESCRIPTIVE STATISTICS
proc freq data =work.model;tables WELFARE * CATEGORY/chisq;run;proc freq data =work.model;tables INDUSTRIALRELATIONSHIP * CATEGORY/chisq;run;proc freq data =work.model;tables EMPLOYEECOMPENSATION * CATEGORY/chisq;run;proc freq data =work.model;tables EMPLOYEEMOTIVATION * CATEGORY/chisq;run;proc freq data =work.model;tables CAREERDEVELOPMENT * CATEGORY/chisq;run;proc freq data =work.model;tables HRP * CATEGORY/chisq;run;proc freq data =work.model;tables SAFETY * CATEGORY/chisq;run;
Chisq
Table of CAREERDEVELOPMENT by CATEGORY
CAREERDEVELOPMENT(CAREERDEVELOP
MENT)
CATEGORY(CATEGORY)
Total1 2
3 1215.1944.4442.86
1518.9955.5629.41
2734.18
4 1012.6627.0335.71
2734.1872.9752.94
3746.84
5 67.5940.0021.43
911.3960.0017.65
1518.99
Total 2835.44
5164.56
79100.00
Statistic DF Value Prob
Chi-Square 2 2.2376 0.3267
Likelihood Ratio Chi-Square
2 2.2558 0.3237
Mantel-Haenszel Chi-Square
1 0.3277 0.5670
Phi Coefficient 0.1683
Contingency Coefficient
0.1660
Cramer's V 0.1683
proc corr data =work.model;var WELFARE INDUSTRIALRELATIONSHIP EMPLOYEECOMPENSATION EMPLOYEEMOTIVATION CAREERDEVELOPMENT HRP SAFETY;run;proc reg data =work.model;model CATEGORY = WELFARE INDUSTRIALRELATIONSHIP EMPLOYEECOMPENSATION EMPLOYEEMOTIVATION CAREERDEVELOPMENT HRP SAFETY;run;proc anova data =work.model;class CATEGORY;model WELFARE INDUSTRIALRELATIONSHIP EMPLOYEECOMPENSATION EMPLOYEEMOTIVATION CAREERDEVELOPMENT HRP SAFETY = CATEGORY;run;
Correlation/regression/anova
Correlation OutputPearson Correlation Coefficients, N = 79
Prob > |r| under H0: Rho=0
WELFAREINDUSTRIALRELATION
SHIPEMPLOYEECOMPENSAT
ION EMPLOYEEMOTIVATION CAREERDEVELOPMENT HRP SAFETY
WELFAREWELFARE
1.00000
0.54323<.0001
0.296120.0081
0.45248<.0001
0.321850.0038
0.54411<.0001
0.416050.0001
INDUSTRIALRELATIONSHIPINDUSTRIALRELATIONSHIP
0.54323<.0001
1.00000
0.56117<.0001
0.64149<.0001
0.43920<.0001
0.58494<.0001
0.380050.0006
EMPLOYEECOMPENSATIONEMPLOYEECOMPENSATION
0.296120.0081
0.56117<.0001
1.00000
0.53856<.0001
0.50786<.0001
0.374660.0007
0.45633<.0001
EMPLOYEEMOTIVATIONEMPLOYEEMOTIVATION
0.45248<.0001
0.64149<.0001
0.53856<.0001
1.00000
0.67833<.0001
0.64487<.0001
0.57366<.0001
CAREERDEVELOPMENTCAREERDEVELOPMENT
0.321850.0038
0.43920<.0001
0.50786<.0001
0.67833<.0001
1.00000
0.66627<.0001
0.64360<.0001
HRPHRP
0.54411<.0001
0.58494<.0001
0.374660.0007
0.64487<.0001
0.66627<.0001
1.00000
0.60031<.0001
SAFETYSAFETY
0.416050.0001
0.380050.0006
0.45633<.0001
Regression Output
ANOVA Output
Source DFSum of
SquaresMean
Square F Value Pr > F
Model 11.5046626
21.5046626
23.87 0.0528
Error 7729.938375
350.3888100
7
Corrected Total
7831.443037
97
R-Square Coeff Var Root MSE
EMPLOYEECOMPENSATION
Mean
0.047854 16.98626 0.623546 3.670886
Source DF Anova SSMean
Square F Value Pr > F
CATEGORY
11.5046626
21.5046626
23.87 0.0528
Webpage and PDF Coding
ods pdf file= 'E:\trim 5\James Sir - SAP\Sail\Sas assignment.pdf';startpage = 1;ods pdf text = "SAS ASSIGNMENT-13MBA1042";ods pdf close;run;quit;
ods html file= 'E:\trim 5\James Sir - SAP\Sail\Sas assignment.html';:::::::::::::::::::::::::::
ods html close;run;quit;
Thank you