spss data analysis
TRANSCRIPT
FACTOR
/VARIABLES VAR00001 VAR00002 VAR00003 VAR00004 VAR00005 VAR00006 VAR00007 VAR00008
/MISSING LISTWISE
/ANALYSIS VAR00001 VAR00002 VAR00003 VAR00004 VAR00005 VAR00006 VAR00007 VAR00008
/PRINT INITIAL KMO EXTRACTION ROTATION
/FORMAT BLANK(.5)
/CRITERIA MINEIGEN(1) ITERATE(25)
/EXTRACTION PC
/CRITERIA ITERATE(25)
/ROTATION VARIMAX
/METHOD=CORRELATION.
Factor Analysis
Notes
Output Created
30-APR-2015 17:23:10
Comments
Input
Active Dataset
DataSet1
Filter
Weight
Split File
N of Rows in Working Data File
79
Missing Value Handling
Definition of Missing
MISSING=EXCLUDE: User-defined missing values are treated as missing.
Cases Used
LISTWISE: Statistics are based on cases with no missing values for any variable used.
Syntax
FACTOR
/VARIABLES VAR00001 VAR00002 VAR00003 VAR00004 VAR00005 VAR00006 VAR00007 VAR00008
/MISSING LISTWISE
/ANALYSIS VAR00001 VAR00002 VAR00003 VAR00004 VAR00005 VAR00006 VAR00007 VAR00008
/PRINT INITIAL KMO EXTRACTION ROTATION
/FORMAT BLANK(.5)
/CRITERIA MINEIGEN(1) ITERATE(25)
/EXTRACTION PC
/CRITERIA ITERATE(25)
/ROTATION VARIMAX
/METHOD=CORRELATION.
Resources
Processor Time
00:00:00.08
Elapsed Time
00:00:00.23
Notes
Resources
Maximum Memory Required
9080 (8.867K) bytes
[DataSet1]
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
.810
Bartlett's Test of Sphericity
Approx. Chi-Square
227.470
df
28
Sig.
.000
Communalities
Initial
Extraction
VAR00001
1.000
.598
VAR00002
1.000
.530
VAR00003
1.000
.625
VAR00004
1.000
.664
VAR00005
1.000
.593
VAR00006
1.000
.767
VAR00007
1.000
.757
VAR00008
1.000
.408
Extraction Method: Principal Component Analysis.
Total Variance Explained
Component
Initial Eigenvalues
Extraction Sums of Squared Loadings
Total
% of Variance
Cumulative %
Total
% of Variance
Cumulative %
1
3.619
45.238
45.238
3.619
45.238
45.238
2
1.324
16.546
61.784
1.324
16.546
61.784
3
.786
9.819
71.603
4
.674
8.420
80.023
5
.660
8.247
88.270
6
.412
5.145
93.415
7
.292
3.645
97.060
8
.235
2.940
100.000
Total Variance Explained
Component
Rotation Sums of Squared Loadings
Total
% of Variance
Cumulative %
1
2.934
36.679
36.679
2
2.008
25.105
61.784
3
4
5
6
7
8
Extraction Method: Principal Component Analysis.
Component Matrixa
Component
1
2
VAR00001
.710
VAR00002
.510
.519
VAR00003
.787
VAR00004
.752
VAR00005
.688
VAR00006
.811
VAR00007
.868
VAR00008
Extraction Method: Principal Component Analysis.a
a. 2 components extracted.
Rotated Component Matrixa
Component
1
2
VAR00001
.762
VAR00002
.713
VAR00003
.702
VAR00004
.674
VAR00005
.765
VAR00006
.860
VAR00007
.695
.524
VAR00008
.622
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.a
a. Rotation converged in 3 iterations.
Component Transformation Matrix
Component
1
2
1
.838
.546
2
-.546
.838
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
RELIABILITY
/VARIABLES=VAR00001 VAR00002 VAR00003 VAR00004 VAR00005 VAR00006 VAR00007 VAR00008
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA.
Reliability
Notes
Output Created
30-APR-2015 17:24:12
Comments
Input
Active Dataset
DataSet1
Filter
Weight
Split File
N of Rows in Working Data File
79
Matrix Input
Missing Value Handling
Definition of Missing
User-defined missing values are treated as missing.
Cases Used
Statistics are based on all cases with valid data for all variables in the procedure.
Syntax
RELIABILITY
/VARIABLES=VAR00001 VAR00002 VAR00003 VAR00004 VAR00005 VAR00006 VAR00007 VAR00008
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA.
Resources
Processor Time
00:00:00.00
Elapsed Time
00:00:00.00
[DataSet1]
Scale: ALL VARIABLES
Case Processing Summary
N
%
Cases
Valid
79
100.0
Excludeda
0
.0
Total
79
100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's Alpha
N of Items
.787
8
T-TEST
/TESTVAL=0
/MISSING=ANALYSIS
/VARIABLES=VAR00001 VAR00002 VAR00003 VAR00004 VAR00005 VAR00006 VAR00007 VAR00008
/CRITERIA=CI(.95).
T-Test
Notes
Output Created
30-APR-2015 18:06:23
Comments
Input
Active Dataset
DataSet1
Filter
Weight
Split File
N of Rows in Working Data File
79
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=0
/MISSING=ANALYSIS
/VARIABLES=VAR00001 VAR00002 VAR00003 VAR00004 VAR00005 VAR00006 VAR00007 VAR00008
/CRITERIA=CI(.95).
Resources
Processor Time
00:00:00.02
Elapsed Time
00:00:00.02
[DataSet1]
One-Sample Statistics
N
Mean
Std. Deviation
Std. Error Mean
VAR00001
79
3.3418
1.25969
.14173
VAR00002
79
3.3797
1.19082
.13398
VAR00003
79
3.4430
1.12941
.12707
VAR00004
79
4.7215
.83107
.09350
VAR00005
79
3.0253
1.29074
.14522
VAR00006
79
3.6076
1.04290
.11734
VAR00007
79
4.3797
.91011
.10240
VAR00008
79
3.3671
1.16770
.13138
One-Sample Test
Test Value = 0
t
df
Sig. (2-tailed)
Mean Difference
95% Confidence Interval of the Difference
Lower
Upper
VAR00001
23.579
78
.000
3.34177
3.0596
3.6239
VAR00002
25.226
78
.000
3.37975
3.1130
3.6465
VAR00003
27.096
78
.000
3.44304
3.1901
3.6960
VAR00004
50.496
78
.000
4.72152
4.5354
4.9077
VAR00005
20.833
78
.000
3.02532
2.7362
3.3144
VAR00006
30.746
78
.000
3.60759
3.3740
3.8412
VAR00007
42.773
78
.000
4.37975
4.1759
4.5836
VAR00008
25.629
78
.000
3.36709
3.1055
3.6286