منابع و ماخذ پایان نامه of، IT، a.

Output Created
02-OCT-2014 17:21:57
Comments
Input
Data
C:UsersDay ComputerDesktophaydarpanah1.sav
Active Dataset
DataSet0
Filter

Weight

Split File

N of Rows in Working Data File
183
Missing Value Handling
Definition of Missing
User-defined missing values are treated as missing.
Cases Used
Statistics are based on cases with no missing values for any variable used.
Syntax
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT IT
/METHOD=ENTER IF.
Resources
Processor Time
00:00:00.02
Elapsed Time
00:00:00.01
Memory Required
1500 bytes
Additional Memory Required for Residual Plots
0 bytes
Variables Entered/Removeda
Model
Variables Entered
Variables Removed
Method
1
IFb
.
Enter
a. Dependent Variable: IT
b. All requested variables entered.
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.523a
.274
.270
.75988
a. Predictors: (Constant), IF
ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
39.381
1
39.381
68.202
.000b
Residual
104.513
181
.577
Total
143.894
182
a. Dependent Variable: IT
b. Predictors: (Constant), IF
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
1.454
.201
7.229
.000
IF
.491
.059
.523
8.258
.000
a. Dependent Variable: IT
Regression
Notes
Output Created
02-OCT-2014 17:22:32
Comments
Input
Data
C:UsersDay ComputerDesktophaydarpanah1.sav
Active Dataset
DataSet0
Filter

Weight

Split File

N of Rows in Working Data File
183
Missing Value Handling
Definition of Missing
User-defined missing values are treated as missing.
Cases Used
Statistics are based on cases with no missing values for any variable used.
Syntax
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT IT
/METHOD=ENTER KN.
Resources
Processor Time
00:00:00.03
Elapsed Time
00:00:00.03
Memory Required
1500 bytes
Additional Memory Required for Residual Plots
0 bytes
Variables Entered/Removeda
Model
Variables Entered
Variables Removed
Method
1
KNb
.
Enter
a. Dependent Variable: IT
b. All requested variables entered.
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.527a
.278
.274
.75783
a. Predictors: (Constant), KN
ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
39.945
1
39.945
69.553
.000b
Residual
103.949
181
.574
Total
143.894
182
a. Dependent Variable: IT
b. Predictors: (Constant), KN
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
1.477
.196
7.518
.000
KN
.484
.058
.527
8.340
.000
a. Dependent Variable: IT
Regression
Notes
Output Created
02-OCT-2014 17:22:51
Comments
Input
Data
C:UsersDay ComputerDesktophaydarpanah1.sav
Active Dataset
DataSet0
Filter

Weight

Split File

N of Rows in Working Data File
183
Missing Value Handling
Definition of Missing
User-defined missing values are treated as missing.
Cases Used
Statistics are based on cases with no missing values for any variable used.
Syntax
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT IT
/METHOD=ENTER JO.
Resources
Processor Time
00:00:00.03
Elapsed Time
00:00:00.05
Memory Required
1500 bytes
Additional Memory Required for Residual Plots
0 bytes
Variables Entered/Removeda
Model
Variables Entered
Variables Removed
Method
1
JOb
.
Enter
a. Dependent Variable: IT
b. All requested variables entered.
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.682a
.465
.462
.65236
a. Predictors: (Constant), JO
ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
66.865
1
66.865
157.118
.000b
Residual
77.029
181
.426
Total
143.894
182
a. Dependent Variable: IT
b. Predictors: (Constant), JO
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
1.079
.164
6.564
.000
JO
.599
.048
.682
12.535
.000
a. Dependent Variable: IT
Regression
Notes
Output Created
02-OCT-2014 17:24:01
Comments
Input
Data
C:UsersDay ComputerDesktophaydarpanah1.sav
Active Dataset
DataSet0
Filter

Weight

Split File

N of Rows in Working Data File
183
Missing Value Handling
Definition of Missing
User-defined missing values are treated as missing.
Cases Used
Statistics are based on cases with no missing values for any variable used.
Syntax
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT IT
/METHOD=ENTER RD.
Resources
Processor Time
00:00:00.02
Elapsed Time
00:00:00.02
Memory Required
1500 bytes
Additional Memory Required for Residual Plots
0 bytes
Variables Entered/Removeda
Model
Variables Entered
Variables Removed
Method
1
RDb
.
Enter
a. Dependent Variable: IT
b. All requested variables entered.
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.519a
.269
.265
.76237
a. Predictors: (Constant), RD
ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
38.695
1
38.695
66.576
.000b
Residual
105.199
181
.581
Total
143.894
182
a. Dependent Variable: IT
b. Predictors: (Constant), RD
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
1.482
.200
7.411
.000
RD
.480
.059
.519
8.159
.000
a. Dependent Variable: IT
Regression
Notes
Output Created
02-OCT-2014 17:24:21
Comments
Input
Data
C:UsersDay ComputerDesktophaydarpanah1.sav
Active Dataset
DataSet0
Filter

Weight

Split File

N of Rows in Working Data File
183
Missing Value Handling
Definition of Missing
User-defined missing values are treated as missing.
Cases Used
Statistics are based on cases with no missing values for any variable used.
Syntax
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT IT
/METHOD=ENTER CO.
Resources
Processor Time
00:00:00.03
Elapsed Time
00:00:00.05
Memory Required
1500 bytes
Additional Memory Required for Residual Plots
0 bytes
Variables Entered/Removeda
Model
Variables Entered
Variables Removed
Method
1
COb
.
Enter
a. Dependent Variable: IT
b. All requested variables entered.
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.424a
.180
.175
.80755
a. Predictors: (Constant), CO
ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
25.857
1
25.857
39.650
.000b
Residual
118.037
181
.652
Total
143.894
182
a. Dependent Variable: IT
b. Predictors: (Constant), CO
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
1.542
.246
6.257
.000
CO
.436
.069
.424
6.297
.000
a. Dependent Variable: IT
Regression
Notes
Output Created
02-OCT-2014 17:24:39
Comments
Input
Data
C:UsersDay ComputerDesktophaydarpanah1.sav
Active Dataset
DataSet0
Filter

Weight

Split File

N of Rows in Working Data File
183
Missing Value Handling
Definition of Missing
User-defined missing values are treated as missing.
Cases Used
Statistics are based on cases with no missing values for any variable used.
Syntax
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT IT
/METHOD=ENTER PDS.
Resources
Processor Time
00:00:00.02
Elapsed Time
00:00:00.03
Memory Required
1500 bytes
Additional Memory Required for Residual Plots
0 bytes
Variables Entered/Removeda
Model
Variables Entered
Variables Removed
Method
1
PDSb
.
Enter
a. Dependent Variable: IT
b. All requested variables entered.
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.982a
.963
.963
.17048
a. Predictors: (Constant), PDS
ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
138.633
1
138.633
4769.756
.000b
Residual
5.261
181
.029
Total
143.894
182
a. Dependent Variable: IT
b. Predictors: (Constant), PDS
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
.109
.044
2.466
.015
PDS
.957
.014
.982
69.063
.000
a. Dependent Variable: IT
Islamic Azad University Kermanshah Branch
Faculty of Post-graduate Studies
Thesis for master Degree Trend (M.A.)
Title
The impact of information technology on the development of HR strategy and processes in the Kermanshah Province Rural Water and Sewerage Company employees in 1392
Supervisor

مطلب مشابه :  دانلود پایان نامه ارشد دربارهاسباب بازی، پیشرفت تحصیلی، طبقه بندی

دیدگاهتان را بنویسید