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Data Group 1 BRM

The document presents statistical analysis results for a dataset containing 146 rows, focusing on variables such as Age, Sex, and multiple response groups. It includes frequency tables, descriptive statistics (mean, standard deviation, minimum, maximum, kurtosis, and skewness) for various groups, and notes on missing value handling. The output was generated on June 18, 2025, and includes detailed statistics for multiple variables categorized under different groups.

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0% found this document useful (0 votes)
5 views20 pages

Data Group 1 BRM

The document presents statistical analysis results for a dataset containing 146 rows, focusing on variables such as Age, Sex, and multiple response groups. It includes frequency tables, descriptive statistics (mean, standard deviation, minimum, maximum, kurtosis, and skewness) for various groups, and notes on missing value handling. The output was generated on June 18, 2025, and includes detailed statistics for multiple variables categorized under different groups.

Uploaded by

Syy Nxa
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as RTF, PDF, TXT or read online on Scribd
You are on page 1/ 20

FREQUENCIES VARIABLES=Age Sex

/ORDER=ANALYSIS.

Frequencies

Notes

Output Created 18-JUN-2025 14:22:09


Comments
Input Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
146
File
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.
Syntax FREQUENCIES VARIABLES=Age Sex
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00.02

Elapsed Time 00:00:00.01

Statistics

Age Sex

N Valid 86 85

Missing 60 61

Frequency Table
Age

Cumulative
Frequency Percent Valid Percent Percent

Valid 1.0 41 28.1 47.7 47.7

2.0 45 30.8 52.3 100.0

Total 86 58.9 100.0


Missing System 60 41.1
Total 146 100.0

Sex

Cumulative
Frequency Percent Valid Percent Percent

Valid 1.0 83 56.8 97.6 97.6

2.0 2 1.4 2.4 100.0

Total 85 58.2 100.0


Missing System 61 41.8
Total 146 100.0

MULT RESPONSE GROUPS=$Media (a3 a4 a5 (1,3))


/FREQUENCIES=$Media.

Multiple Response

Notes

Output Created 18-JUN-2025 14:24:53


Comments
Input Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
146
File
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics for each table are based on all
the cases with valid data in the specified
range(s) for all variables in each table.
Syntax MULT RESPONSE GROUPS=$Media
(a3 a4 a5 (1,3))
/FREQUENCIES=$Media.
Resources Processor Time 00:00:00.00

Elapsed Time 00:00:00.00

Case Summary

Cases

Valid Missing Total

N Percent N Percent N Percent


a
$Media 86 58.9% 60 41.1% 146 100.0%

a. Group

$Media Frequencies

Responses Percent of
N Percent Cases

$Mediaa 1.0 80 36.7% 93.0%

2.0 122 56.0% 141.9%

3.0 16 7.3% 18.6%


Total 218 100.0% 253.5%

a. Group

DESCRIPTIVES VARIABLES=B1 B2 B3 B4 B5
/STATISTICS=MEAN STDDEV MIN MAX KURTOSIS SKEWNESS.
Descriptives

Notes

Output Created 18-JUN-2025 14:27:47


Comments
Input Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
146
File
Missing Value Handling Definition of Missing User defined missing values are treated
as missing.
Cases Used All non-missing data are used.
Syntax DESCRIPTIVES VARIABLES=B1 B2
B3 B4 B5
/STATISTICS=MEAN STDDEV MIN
MAX KURTOSIS SKEWNESS.
Resources Processor Time 00:00:00.02

Elapsed Time 00:00:00.01

Descriptive Statistics

Std.
N Minimum Maximum Mean Deviation Skewness

Std.
Statistic Statistic Statistic Statistic Statistic Statistic Error

B1 86 1.0 4.0 3.279 .7769 -.997 .260


B2 86 1.0 4.0 3.105 .6691 -.846 .260
B3 86 1.0 5.0 3.326 .7584 -.793 .260
B4 86 1.0 4.0 3.174 .7999 -1.034 .260
B5 86 1.0 5.0 3.384 .8425 -.590 .260
Valid N
86
(listwise)
Descriptive Statistics

Kurtosis

Statistic Std. Error

B1 .802 .514
B2 2.011 .514
B3 1.599 .514
B4 1.136 .514
B5 1.472 .514
Valid N (listwise)

DESCRIPTIVES VARIABLES=C1 C2 C3 C4 C5
/STATISTICS=MEAN STDDEV MIN MAX KURTOSIS SKEWNESS.

Descriptives

Notes

Output Created 18-JUN-2025 14:28:30


Comments
Input Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
146
File
Missing Value Handling Definition of Missing User defined missing values are treated
as missing.
Cases Used All non-missing data are used.
Syntax DESCRIPTIVES VARIABLES=C1 C2
C3 C4 C5
/STATISTICS=MEAN STDDEV MIN
MAX KURTOSIS SKEWNESS.
Resources Processor Time 00:00:00.00

Elapsed Time 00:00:00.04


Descriptive Statistics

Std.
N Minimum Maximum Mean Deviation Skewness

Std.
Statistic Statistic Statistic Statistic Statistic Statistic Error

C1 86 1.0 5.0 2.337 1.1541 .197 .260


C2 86 1.0 5.0 2.709 1.1869 -.147 .260
C3 84 1.0 5.0 2.631 1.2685 -.102 .263
C4 86 1.0 5.0 2.791 1.1794 -.330 .260
C5 84 1.0 5.0 2.679 1.3002 -.050 .263
Valid N
82
(listwise)

Descriptive Statistics

Kurtosis

Statistic Std. Error

C1 -1.069 .514
C2 -1.086 .514
C3 -1.324 .520
C4 -1.118 .514
C5 -1.146 .520
Valid N (listwise)

DESCRIPTIVES VARIABLES=D1 D2 D3
/STATISTICS=MEAN STDDEV MIN MAX KURTOSIS SKEWNESS.

Descriptives

Notes

Output Created 18-JUN-2025 14:29:02


Comments
Input Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
146
File
Missing Value Handling Definition of Missing User defined missing values are treated
as missing.
Cases Used All non-missing data are used.
Syntax DESCRIPTIVES VARIABLES=D1 D2
D3
/STATISTICS=MEAN STDDEV MIN
MAX KURTOSIS SKEWNESS.
Resources Processor Time 00:00:00.00

Elapsed Time 00:00:00.01

Descriptive Statistics

Std.
N Minimum Maximum Mean Deviation Skewness

Std.
Statistic Statistic Statistic Statistic Statistic Statistic Error

D1 86 1.0 5.0 3.767 1.0020 -.591 .260


D2 85 1.0 5.0 3.682 1.0025 -.772 .261
D3 84 1.0 5.0 3.583 1.1108 -.512 .263
Valid N
83
(listwise)

Descriptive Statistics

Kurtosis

Statistic Std. Error

D1 -.052 .514
D2 .636 .517
D3 -.382 .520
Valid N (listwise)

SAVE OUTFILE='C:\Users\Kimlang\Documents\NUBB\Untitled2.sav'
/COMPRESSED.
DESCRIPTIVES VARIABLES=E1 E2 E3
/STATISTICS=MEAN STDDEV MIN MAX KURTOSIS SKEWNESS.

Descriptives

Notes

Output Created 18-JUN-2025 14:32:21


Comments
Input Data C:\Users\Kimlang\Documents\NUBB\
Untitled2.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
146
File
Missing Value Handling Definition of Missing User defined missing values are treated
as missing.
Cases Used All non-missing data are used.
Syntax DESCRIPTIVES VARIABLES=E1 E2
E3
/STATISTICS=MEAN STDDEV MIN
MAX KURTOSIS SKEWNESS.
Resources Processor Time 00:00:00.02

Elapsed Time 00:00:00.00

[DataSet1] C:\Users\Kimlang\Documents\NUBB\Untitled2.sav

Descriptive Statistics

N Minimum Maximum Mean Std. Skewness


Deviation
Std.
Statistic Statistic Statistic Statistic Statistic Statistic Error

E1 86 1.0 5.0 3.395 1.0322 -.797 .260


E2 86 1.0 5.0 3.535 1.0482 -.973 .260
E3 86 1.0 5.0 3.593 1.0995 -1.085 .260
Valid N
86
(listwise)

Descriptive Statistics

Kurtosis

Statistic Std. Error

E1 .361 .514
E2 .715 .514
E3 .706 .514
Valid N (listwise)

DESCRIPTIVES VARIABLES=F1 F2 F3
/STATISTICS=MEAN STDDEV MIN MAX KURTOSIS SKEWNESS.

Descriptives

Notes

Output Created 18-JUN-2025 14:32:59


Comments
Input Data C:\Users\Kimlang\Documents\NUBB\
Untitled2.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
146
File
Missing Value Handling Definition of Missing User defined missing values are treated
as missing.
Cases Used All non-missing data are used.
Syntax DESCRIPTIVES VARIABLES=F1 F2 F3
/STATISTICS=MEAN STDDEV MIN
MAX KURTOSIS SKEWNESS.
Resources Processor Time 00:00:00.02

Elapsed Time 00:00:00.05

Descriptive Statistics

Std.
N Minimum Maximum Mean Deviation Skewness

Std.
Statistic Statistic Statistic Statistic Statistic Statistic Error

F1 85 1.0 5.0 3.753 1.0455 -1.021 .261


F2 86 1.0 5.0 3.849 .9643 -.979 .260
F3 86 1.0 5.0 3.628 1.0521 -.936 .260
Valid N
85
(listwise)

Descriptive Statistics

Kurtosis

Statistic Std. Error

F1 .920 .517
F2 1.127 .514
F3 .471 .514
Valid N (listwise)

DESCRIPTIVES VARIABLES=G1 G2 G3
/STATISTICS=MEAN STDDEV MIN MAX KURTOSIS SKEWNESS.

Descriptives

Notes
Output Created 18-JUN-2025 14:33:29
Comments
Input Data C:\Users\Kimlang\Documents\NUBB\
Untitled2.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
146
File
Missing Value Handling Definition of Missing User defined missing values are treated
as missing.
Cases Used All non-missing data are used.
Syntax DESCRIPTIVES VARIABLES=G1 G2
G3
/STATISTICS=MEAN STDDEV MIN
MAX KURTOSIS SKEWNESS.
Resources Processor Time 00:00:00.02

Elapsed Time 00:00:00.01

Descriptive Statistics

Std.
N Minimum Maximum Mean Deviation Skewness

Std.
Statistic Statistic Statistic Statistic Statistic Statistic Error

G1 86 1.0 5.0 3.291 1.1153 -.654 .260


G2 85 1.0 5.0 3.612 1.0812 -.961 .261
G3 86 1.0 5.0 3.337 1.1643 -.419 .260
Valid N
85
(listwise)

Descriptive Statistics

Kurtosis

Statistic Std. Error

G1 -.054 .514
G2 .684 .517
G3 -.475 .514
Valid N (listwise)

DESCRIPTIVES VARIABLES=H1 H2 H3
/STATISTICS=MEAN STDDEV MIN MAX KURTOSIS SKEWNESS.

Descriptives

Notes

Output Created 18-JUN-2025 14:34:06


Comments
Input Data C:\Users\Kimlang\Documents\NUBB\
Untitled2.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
146
File
Missing Value Handling Definition of Missing User defined missing values are treated
as missing.
Cases Used All non-missing data are used.
Syntax DESCRIPTIVES VARIABLES=H1 H2
H3
/STATISTICS=MEAN STDDEV MIN
MAX KURTOSIS SKEWNESS.
Resources Processor Time 00:00:00.00

Elapsed Time 00:00:00.08

Descriptive Statistics

N Minimum Maximum Mean Std. Skewness


Deviation
Std.
Statistic Statistic Statistic Statistic Statistic Statistic Error

H1 86 1.0 5.0 3.640 1.1052 -.952 .260


H2 86 1.0 5.0 3.698 1.0524 -.974 .260
H3 86 1.0 5.0 3.791 1.0529 -.991 .260
Valid N
86
(listwise)

Descriptive Statistics

Kurtosis

Statistic Std. Error

H1 .536 .514
H2 .676 .514
H3 .637 .514
Valid N (listwise)

FACTOR
/VARIABLES B1 B2 B3 B4 B5 C1 C2 C3 C4 C5 D1 D2 D3 E1 E2 E3 F1 F2 F3 G1 G2 G3
H1 H2 H3
/MISSING LISTWISE
/ANALYSIS B1 B2 B3 B4 B5 C1 C2 C3 C4 C5 D1 D2 D3 E1 E2 E3 F1 F2 F3 G1 G2 G3
H1 H2 H3
/PRINT INITIAL KMO EXTRACTION ROTATION
/FORMAT BLANK(.30)
/PLOT EIGEN
/CRITERIA MINEIGEN(1) ITERATE(25)
/EXTRACTION PC
/CRITERIA ITERATE(25)
/ROTATION VARIMAX
/METHOD=CORRELATION.

Factor Analysis

Notes

Output Created 18-JUN-2025 14:38:24


Comments
Input Data C:\Users\Kimlang\Documents\NUBB\
Untitled2.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
146
File
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 B1 B2 B3 B4 B5 C1 C2
C3 C4 C5 D1 D2 D3 E1 E2 E3 F1 F2 F3
G1 G2 G3 H1 H2 H3
/MISSING LISTWISE
/ANALYSIS B1 B2 B3 B4 B5 C1 C2 C3
C4 C5 D1 D2 D3 E1 E2 E3 F1 F2 F3
G1 G2 G3 H1 H2 H3
/PRINT INITIAL KMO EXTRACTION
ROTATION
/FORMAT BLANK(.30)
/PLOT EIGEN
/CRITERIA MINEIGEN(1)
ITERATE(25)
/EXTRACTION PC
/CRITERIA ITERATE(25)
/ROTATION VARIMAX
/METHOD=CORRELATION.
Resources Processor Time 00:00:00.56

Elapsed Time 00:00:00.41

Maximum Memory Required 74020 (72.285K) bytes

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .800


Bartlett's Test of Sphericity Approx. Chi-Square 1384.832
df 300

Sig. .000

Communalities

Initial Extraction

B1 1.000 .680
B2 1.000 .721
B3 1.000 .715
B4 1.000 .543
B5 1.000 .677
C1 1.000 .784
C2 1.000 .686
C3 1.000 .838
C4 1.000 .802
C5 1.000 .814
D1 1.000 .788
D2 1.000 .579
D3 1.000 .773
E1 1.000 .748
E2 1.000 .777
E3 1.000 .721
F1 1.000 .760
F2 1.000 .651
F3 1.000 .704
G1 1.000 .582
G2 1.000 .838
G3 1.000 .799
H1 1.000 .845
H2 1.000 .840
H3 1.000 .863

Extraction Method: Principal


Component Analysis.

Total Variance Explained


Extraction Sums of Squared
Initial Eigenvalues Loadings

Compone % of Cumulative % of Cumulative


nt Total Variance % Total Variance %

1 9.019 36.076 36.076 9.019 36.076 36.076


2 3.251 13.006 49.082 3.251 13.006 49.082
3 1.843 7.372 56.453 1.843 7.372 56.453
4 1.752 7.009 63.462 1.752 7.009 63.462
5 1.391 5.566 69.027 1.391 5.566 69.027
6 1.272 5.089 74.117 1.272 5.089 74.117
7 .974 3.896 78.013
8 .761 3.043 81.056
9 .635 2.542 83.598
10 .580 2.318 85.916
11 .544 2.176 88.092
12 .474 1.897 89.989
13 .411 1.646 91.635
14 .321 1.284 92.919
15 .286 1.143 94.061
16 .245 .978 95.040
17 .211 .844 95.884
18 .207 .828 96.712
19 .165 .659 97.371
20 .150 .600 97.972
21 .130 .521 98.492
22 .121 .484 98.976
23 .111 .443 99.419
24 .092 .369 99.788
25 .053 .212 100.000

Total Variance Explained

Rotation Sums of Squared Loadings

Component Total % of Variance Cumulative %

1 4.595 18.381 18.381


2 4.095 16.381 34.762
3 2.761 11.044 45.806
4 2.488 9.951 55.758
5 2.402 9.609 65.366
6 2.188 8.750 74.117
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25

Extraction Method: Principal Component Analysis.


Component Matrixa

Component

1 2 3 4 5 6

B1 .369 .475 .501


B2 .592 .319 .512
B3 .597 .339 .339
B4 .570 .420
B5 .549 .478 .301
C1 .390 .765
C2 .571 .558
C3 .545 .697
C4 .556 .674
C5 .523 .684
D1 .623 -.450 .387
D2 .656
D3 .428 -.438 .605
E1 .672 -.403
E2 .763 -.303
E3 .677 -.372
F1 .707 -.308
F2 .677 -.300
F3 .751
G1 .387 -.384 .429
G2 .498 -.600 .366
G3 .647 -.388 .343 -.322
H1 .644 -.388 .426
H2 .677 .501
H3 .696 .559

Extraction Method: Principal Component Analysis.a


a. 6 components extracted.

Rotated Component Matrixa

Component

1 2 3 4 5 6

B1 .796
B2 .720
B3 .678 .354 .317
B4 .331 .593
B5 .309 .590 .395
C1 .838
C2 .752
C3 .888
C4 .864
C5 .875
D1 .432 .749
D2 .463 .497
D3 .849
E1 .772 .310
E2 .807
E3 .781
F1 .829
F2 .619 .368 .346
F3 .652 .427
G1 .697
G2 .881
G3 .417 .750
H1 .433 .764
H2 .308 .759 .333
H3 .304 .815

Extraction Method: Principal Component Analysis.


Rotation Method: Varimax with Kaiser Normalization.a
a. Rotation converged in 7 iterations.

Component Transformation Matrix

Component 1 2 3 4 5 6

1 .611 .416 .369 .318 .358 .297


2 -.437 .858 -.032 .087 -.245 -.061
3 -.013 .048 .710 -.688 -.138 -.021
4 -.250 -.178 .528 .538 .087 -.575
5 -.410 -.233 .279 .298 -.207 .754
6 -.453 .041 -.035 -.201 .862 .095

Extraction Method: Principal Component Analysis.


Rotation Method: Varimax with Kaiser Normalization.

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