منابع و ماخذ پایان نامه 183، of، Missing

Z
1.122
1.125
1.216
1.060
1.178
1.066
1.190
1.167
1.129
Asymp. Sig. (2-tailed)
.161
.159
.104
.211
.125
.206
.118
.131
.156
a. Test distribution is Normal.
b. Calculated from data.
One-Sample Statistics
N
Mean
Std. Deviation
Std. Error Mean
IT
183
3.0478
.88917
.06573
HR
183
3.2445
.94308
.06971
IQ
183
3.0492
.90574
.06695
IF
183
3.2473
.94745
.07004
KN
183
3.2473
.96860
.07160
JO
183
3.2855
1.01132
.07476
RD
183
3.2609
.96035
.07099
CO
183
3.4545
.86480
.06393
PDS
183
3.0697
.91176
.06740
One-Sample Test
Test Value = 3
t
df
Sig. (2-tailed)
Mean Difference
95% Confidence Interval of the Difference
Lower
Upper
IT
.727
182
.468
.04781
-.0819
.1775
HR
3.508
182
.001
.24454
.1070
.3821
IQ
.735
182
.464
.04918
-.0829
.1813
IF
3.531
182
.001
.24727
.1091
.3855
KN
3.453
182
.001
.24727
.1060
.3885
JO
3.819
182
.000
.28552
.1380
.4330
RD
3.676
182
.000
.26093
.1209
.4010
CO
7.110
182
.000
.45454
.3284
.5807
PDS
1.034
182
.303
.06967
-.0633
.2027
Correlations
IT
HR
IQ
IF
KN
JO
RD
CO
PDS
IT
Pearson Correlation
1
.531**
.976**
.523**
.527**
.682**
.519**
.424**
.982**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.000
.000
.000
N
183
183
183
183
183
183
183
183
183
HR
Pearson Correlation
.531**
1
.530**
.984**
.977**
.409**
.981**
.212**
.526**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.000
.004
.000
N
183
183
183
183
183
183
183
183
183
IQ
Pearson Correlation
.976**
.530**
1
.524**
.541**
.664**
.516**
.422**
.952**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.000
.000
.000
N
183
183
183
183
183
183
183
183
183
IF
Pearson Correlation
.523**
.984**
.524**
1
.961**
.387**
.965**
.187*
.514**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.000
.011
.000
N
183
183
183
183
183
183
183
183
183
KN
Pearson Correlation
.527**
.977**
.541**
.961**
1
.406**
.944**
.232**
.521**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.000
.002
.000
N
183
183
183
183
183
183
183
183
183
JO
Pearson Correlation
.682**
.409**
.664**
.387**
.406**
1
.395**
.308**
.665**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.000
.000
.000
N
183
183
183
183
183
183
183
183
183
RD
Pearson Correlation
.519**
.981**
.516**
.965**
.944**
.395**
1
.217**
.513**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.000
.003
.000
N
183
183
183
183
183
183
183
183
183
CO
Pearson Correlation
.424**
.212**
.422**
.187*
.232**
.308**
.217**
1
.437**
Sig. (2-tailed)
.000
.004
.000
.011
.002
.000
.003
.000
N
183
183
183
183
183
183
183
183
183
PDS
Pearson Correlation
.982**
.526**
.952**
.514**
.521**
.665**
.513**
.437**
1
Sig. (2-tailed)
.000
.000
.000
.000
.000
.000
.000
.000
N
183
183
183
183
183
183
183
183
183
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
Notes
Output Created
02-OCT-2014 13:56:12
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
For each dependent variable in a table, user-defined missing values for the dependent and all grouping variables are treated as missing.
Cases Used
Cases used for each table have no missing values in any independent variable, and not all dependent variables have missing values.
Syntax
SUMMARIZE
/TABLES=IT HR IQ IF KN JO RD CO PDS
/FORMAT=NOLIST TOTAL
/TITLE=’Case Summaries’
/MISSING=VARIABLE
/CELLS=MEAN STDDEV SEMEAN.
Resources
Processor Time
00:00:00.02
Elapsed Time
00:00:00.02
Notes
Output Created
02-OCT-2014 14:13:23
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 for each test are based on all cases with valid data for the variable(s) used in that test.
Syntax
NPAR TESTS
/K-S(NORMAL)=IT HR IQ IF KN JO RD CO PDS
/MISSING ANALYSIS.
Resources
Processor Time
00:00:00.02
Elapsed Time
00:00:00.02
Number of Cases Alloweda
65536
a. Based on availability of workspace memory.
Notes
Output Created
02-OCT-2014 14:20:39
Comments
Input
Data
C:UsersDay ComputerDesktophaydarpanah1.sav
Active Dataset
DataSet0
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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 for each analysis are based on the cases with no missing or out-of-range data for any variable in the analysis.
Syntax
T-TEST
/TESTVAL=3
/MISSING=ANALYSIS
/VARIABLES=IT HR IQ IF KN JO RD CO PDS
/CRITERIA=CI(.95).
Resources
Processor Time
00:00:00.02
Elapsed Time
00:00:00.02
Notes
Output Created
02-OCT-2014 15:37:03
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 for each pair of variables are based on all the cases with valid data for that pair.
Syntax
CORRELATIONS
/VARIABLES=IT HR IQ IF KN JO RD CO PDS
/PRINT=TWOTAIL NOSIG
/MISSING=PAIRWISE.
Resources
Processor Time
00:00:00.00
Elapsed Time
00:00:00.00
Notes
Output Created
02-OCT-2014 17:00:32
Comments
Input
Data
C:UsersDay ComputerDesktophaydarpanah1.sav
Active Dataset
DataSet0
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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 HR IQ IF KN JO RD CO PDS.
Resources
Processor Time
00:00:00.00
Elapsed Time
00:00:00.00
Memory Required
3988 bytes
Additional Memory Required for Residual Plots
0 bytes
Regression
Notes
Output Created
02-OCT-2014 17:19:29
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 HR.
Resources
Processor Time
00:00:00.00
Elapsed Time
00:00:00.00
Memory Required
1500 bytes
Additional Memory Required for Residual Plots
0 bytes
Variables Entered/Removeda
Model
Variables Entered
Variables Removed
Method
1
HRb
.
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
.531a
.282
.278
.75528
a. Predictors: (Constant), HR
ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
40.643
1
40.643
71.248
.000b
Residual
103.251
181
.570
Total
143.894
182
a. Dependent Variable: IT
b. Predictors: (Constant), HR
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
1.422
.201
7.091
.000
HR
.501
.059
.531
8.441
.000
a. Dependent Variable: IT
Regression
Notes
Output Created
02-OCT-2014 17:19:51
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 IQ.
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
IQb
.
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
.976a
.953
.952
.19385
a. Predictors: (Constant), IQ
ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
137.093
1
137.093
3648.243
.000b
Residual
6.802
181
.038
Total
143.894
182
a. Dependent Variable: IT
b. Predictors: (Constant), IQ
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std.

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