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QUANTITY TECHNIQUES in ANALYSIS NOTES

FACTOR ANALYSIS:
File Used: Tech Survey.sav
Command: AnalyzeDimension ReductionFactor
(Note: Only Scale data to be used)
Now one new window will be opened. Drag Data into analysis box(undo Q2, Q5, Q10, Q26).
Click on Descriptives Tab, click √ on KMO & Bartlett’s test of sphericity. Continue.
Click on Extraction Tab, click √ on Scree Plot under the Display. Conitinue.
Click on Rotation Tab, Select Varimax under the Method. Continue.
Click on Options Tab, Click √ on Sorted by Size and on Suppress Small Coefficient and put the
value 0.40 under the Coefficient Display Format. Continue.
Click Okay.
Now Output window will generate the results.

Interpretation:
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

.839

Bartlett's Test of

Approx. Chi-Square

1460.971

Sphericity

df

120

Sig.

.000

KMO is .839, the sampling size is said to be enough.( if less than 0.5 the Sample size is not said
to be enough). The Bartlett's Sig. value is .0(<0.05) Says the variable are matrix there is a
correlation between them. (If >0.05 says values are identity matrix, there is no correlation)
Total Variance Explained
Component

Extraction Sums of Squared
Initial Eigenvalues

Loadings

% of
Total

Rotation Sums of Squared

Cumulative

Variance

%

Loadings

% of
Total

Cumulative

Variance

%

% of
Total

Cumulative

Variance

%

1

7.942

49.634

49.634 7.942

49.634

49.634 5.706

35.664

35.664

2

2.172

13.575

63.209 2.172

13.575

63.209 2.319

14.492

50.156

3

1.092

6.827

70.036 1.092

6.827

70.036 2.147

13.416

63.572

4

1.036

6.474

76.510 1.036

6.474

76.510 2.070

12.938

76.510

5

.688

4.303

80.813

6

.605

3.783

84.596

7

.500

3.124

87.720

8

.448

2.800

90.520

9

.390

2.436

92.956

10

.335

2.095

95.051

11

.295

1.841

96.893

12

.164

1.026

97.919

13

.128

.801

98.720

14

.106

.662

99.382

15

.068

.426

99.808

16

.031

.192

100.000

Extraction Method: Principal Component Analysis.

PREPARED BY: NAVEED FAROOQ

1
QUANTITY TECHNIQUES in ANALYSIS NOTES
The Cumulative % is 76.51 at Component No. 4. This means 4 factors can be made.(The Criteria for this
is minimum 60%, if it is not fulfilled we will consider the Scree plot & Communalities).
(Note: The Initial Eigenvalues greater than 1 will be part of Extraction Sums of Squared Loadings & Rotation
Sums of Squared Loadings).

Factors Via Scree Plot & Communalities:

In Scree Plot from the component 5 the line is straight, this point is referred as Point of
Inflection. Before the point of inflection, points are called Significant Jumping Points. It tells us
how many factors is to be made.
Communalities
Initial

Extraction

If Cumulative % under the Total variance explained is less
than 60% we will exclude the values less than 0.5 by 1 by 1

Q31A1

1.000

.783

Q31A2

1.000

.834

Q31A3

1.000

.678

Q31A4

1.000

.635

After analyzing how many factors to be made, we will analyze

Q31A5

1.000

.828

which variables should be the part of the factors.

Q31A6

1.000

.640

Q31A7

1.000

.794

Q31A8

1.000

.812

Q31A9

1.000

.711

For this we analyze the Rotated Component Matrix.
QUANTITY TECHNIQUES in ANALYSIS NOTES
a

Rotated Component Matrix
Component
1

2

The No. of Columns in Component

3

4

shows there is need to make 4 Factors.

Q31A2

.891

Q31A8

.854

Q31A1

.846

The values which are part of 2 Component

Q31A5

.835

are called Cross Loadings.

Q31A7

.835

The Cross Loadings Values should be

Q31A3

.744

Q31A4

.670

Q31A6

.611

The values are called Factor Loadings.

excluded from the Factor.
.435

Q31A10

Method for this is (Sum the values
of 2 Component, the biggest value
will be excluded 1st by 1 by 1

.798

Q31A12

.753

Q31A9

.406

.667

Q31A11

.589

Q31B2

.869

Q31B1

.860

Q31B3

.887

Q31B4

.412

.865

Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 6 iterations.

a

Rotated Component Matrix
Component
1

After excluding the variables (Q31A9, Q31B1 & Q31B4),

2

Q31A8
Q31A2

.886

Q31A5

.880

Q31A7

.879

Q31A1

.855

Q31A3

.776

Q31A6

.714

Q31A4

.701

Q31B3

There variable can be gathered in 2 Factors Rotated

.895

.678

Component Matrix tells us which question will be the part of
which factor. In our particular case 2 factors will be made.
The factor 1 will consist of Q31A8, Q31A2, Q31A5, Q31A7,
Q31A1, Q31A3, Q31A6, Q31A4, & Q31B3. The Factor 2
will consist of Q31A12, Q31A11, Q31A10, & Q31B2.

Q31A12

.811

Q31A11

.705

Q31A10

.705

Q31B2

.620

PREPARED BY: NAVEED FAROOQ

3
QUANTITY TECHNIQUES in ANALYSIS NOTES

PREPARED BY: NAVEED FAROOQ

4

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Factor analysis

  • 1. QUANTITY TECHNIQUES in ANALYSIS NOTES FACTOR ANALYSIS: File Used: Tech Survey.sav Command: AnalyzeDimension ReductionFactor (Note: Only Scale data to be used) Now one new window will be opened. Drag Data into analysis box(undo Q2, Q5, Q10, Q26). Click on Descriptives Tab, click √ on KMO & Bartlett’s test of sphericity. Continue. Click on Extraction Tab, click √ on Scree Plot under the Display. Conitinue. Click on Rotation Tab, Select Varimax under the Method. Continue. Click on Options Tab, Click √ on Sorted by Size and on Suppress Small Coefficient and put the value 0.40 under the Coefficient Display Format. Continue. Click Okay. Now Output window will generate the results. Interpretation: KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .839 Bartlett's Test of Approx. Chi-Square 1460.971 Sphericity df 120 Sig. .000 KMO is .839, the sampling size is said to be enough.( if less than 0.5 the Sample size is not said to be enough). The Bartlett's Sig. value is .0(<0.05) Says the variable are matrix there is a correlation between them. (If >0.05 says values are identity matrix, there is no correlation) Total Variance Explained Component Extraction Sums of Squared Initial Eigenvalues Loadings % of Total Rotation Sums of Squared Cumulative Variance % Loadings % of Total Cumulative Variance % % of Total Cumulative Variance % 1 7.942 49.634 49.634 7.942 49.634 49.634 5.706 35.664 35.664 2 2.172 13.575 63.209 2.172 13.575 63.209 2.319 14.492 50.156 3 1.092 6.827 70.036 1.092 6.827 70.036 2.147 13.416 63.572 4 1.036 6.474 76.510 1.036 6.474 76.510 2.070 12.938 76.510 5 .688 4.303 80.813 6 .605 3.783 84.596 7 .500 3.124 87.720 8 .448 2.800 90.520 9 .390 2.436 92.956 10 .335 2.095 95.051 11 .295 1.841 96.893 12 .164 1.026 97.919 13 .128 .801 98.720 14 .106 .662 99.382 15 .068 .426 99.808 16 .031 .192 100.000 Extraction Method: Principal Component Analysis. PREPARED BY: NAVEED FAROOQ 1
  • 2. QUANTITY TECHNIQUES in ANALYSIS NOTES The Cumulative % is 76.51 at Component No. 4. This means 4 factors can be made.(The Criteria for this is minimum 60%, if it is not fulfilled we will consider the Scree plot & Communalities). (Note: The Initial Eigenvalues greater than 1 will be part of Extraction Sums of Squared Loadings & Rotation Sums of Squared Loadings). Factors Via Scree Plot & Communalities: In Scree Plot from the component 5 the line is straight, this point is referred as Point of Inflection. Before the point of inflection, points are called Significant Jumping Points. It tells us how many factors is to be made. Communalities Initial Extraction If Cumulative % under the Total variance explained is less than 60% we will exclude the values less than 0.5 by 1 by 1 Q31A1 1.000 .783 Q31A2 1.000 .834 Q31A3 1.000 .678 Q31A4 1.000 .635 After analyzing how many factors to be made, we will analyze Q31A5 1.000 .828 which variables should be the part of the factors. Q31A6 1.000 .640 Q31A7 1.000 .794 Q31A8 1.000 .812 Q31A9 1.000 .711 For this we analyze the Rotated Component Matrix.
  • 3. QUANTITY TECHNIQUES in ANALYSIS NOTES a Rotated Component Matrix Component 1 2 The No. of Columns in Component 3 4 shows there is need to make 4 Factors. Q31A2 .891 Q31A8 .854 Q31A1 .846 The values which are part of 2 Component Q31A5 .835 are called Cross Loadings. Q31A7 .835 The Cross Loadings Values should be Q31A3 .744 Q31A4 .670 Q31A6 .611 The values are called Factor Loadings. excluded from the Factor. .435 Q31A10 Method for this is (Sum the values of 2 Component, the biggest value will be excluded 1st by 1 by 1 .798 Q31A12 .753 Q31A9 .406 .667 Q31A11 .589 Q31B2 .869 Q31B1 .860 Q31B3 .887 Q31B4 .412 .865 Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. a. Rotation converged in 6 iterations. a Rotated Component Matrix Component 1 After excluding the variables (Q31A9, Q31B1 & Q31B4), 2 Q31A8 Q31A2 .886 Q31A5 .880 Q31A7 .879 Q31A1 .855 Q31A3 .776 Q31A6 .714 Q31A4 .701 Q31B3 There variable can be gathered in 2 Factors Rotated .895 .678 Component Matrix tells us which question will be the part of which factor. In our particular case 2 factors will be made. The factor 1 will consist of Q31A8, Q31A2, Q31A5, Q31A7, Q31A1, Q31A3, Q31A6, Q31A4, & Q31B3. The Factor 2 will consist of Q31A12, Q31A11, Q31A10, & Q31B2. Q31A12 .811 Q31A11 .705 Q31A10 .705 Q31B2 .620 PREPARED BY: NAVEED FAROOQ 3
  • 4. QUANTITY TECHNIQUES in ANALYSIS NOTES PREPARED BY: NAVEED FAROOQ 4