Monday, September 17, 2012

Team C blog as on 17th September 2012 By Nitin Dhantole


BA as on 17th of September 2012:
Team C made by Nitin Dhantole

Revision in class was conducted and for my revision I have selected factor analysis for which I have taken sample data from internet on Film viewership.
I have used the data on factor analysis and got following results:
                                                Descriptive Statistics


Mean
Std. Deviation
Analysis N
Type of film viewed
2.06
.854
16
Age group of respondent
1.50
.516
16
Anxiety rating before watching film
4.56
1.861
16
Anxiety rating after watching film
5.63
2.604
16
Pulse rate before watching film
70.19
5.913
16
Pulse rate after watching film
73.06
6.913
16
Breathing rate before watching film
15.94
1.843
16
Breathing rate after watching film
17.13
2.363
16


                                      Communalities


Initial
Extraction
Type of film viewed
1.000
.940
Age group of respondent
1.000
.566
Anxiety rating before watching film
1.000
.949
Anxiety rating after watching film
1.000
.856
Pulse rate before watching film
1.000
.847
Pulse rate after watching film
1.000
.816
Breathing rate before watching film
1.000
.931
Breathing rate after watching film
1.000
.930
Extraction Method: Principal Component Analysis.

In this matrix all of the components are above 0.5 so I have selected all of them for my analysis.




This scree plot is perfect as per sir’s definition.
                                             Component Matrix(a)

 


Component
1
2
3
Type of film viewed
.595
.729
-.230
Age group of respondent
-.168
.127
.722
Anxiety rating before watching film
.828
-.457
.234
Anxiety rating after watching film
.844
.267
.270
Pulse rate before watching film
.658
-.499
-.406
Pulse rate after watching film
.798
.187
-.380
Breathing rate before watching film
.828
-.439
.229
Breathing rate after watching film
.874
.323
.249
Extraction Method: Principal Component Analysis.
a  3 components extracted.

                                                                




Rotated Component Matrix (a)

 


Component
1
2
3
Type of film viewed
-.101
.946
.188
Age group of respondent
.030
-.031
-.751
Anxiety rating before watching film
.951
.200
.067
Anxiety rating after watching film
.523
.753
-.126
Pulse rate before watching film
.652
.070
.645
Pulse rate after watching film
.334
.677
.497
Breathing rate before watching film
.938
.215
.068
Breathing rate after watching film
.503
.815
-.112
Extraction Method: Principal Component Analysis.
 Rotation Method: Varimax with Kaiser Normalization.
a  Rotation converged in 5 iterations.

From rotated component matrix I have go two components as liable which was labeled in excel as follows:
Component
Reaction of people before watching film
Reaction of people after watching film
3
Type of film viewed
-0.101
0.946
0.188
Age group of respondent
0.030
-0.031
-0.751
Anxiety rating before watching film
0.951
0.200
0.067
Anxiety rating after watching film
0.523
0.753
-0.126
Pulse rate before watching film
0.652
0.070
0.645
Pulse rate after watching film
0.334
0.677
0.497
Breathing rate before watching film
0.938
0.215
0.068
Breathing rate after watching film
0.503
0.815
-0.112
Extraction Method: Principal Component Analysis.
 Rotation Method: Varimax with Kaiser Normalization.
a
Rotation converged in 5 iterations.



Under this I have saved the components in the factor reduction save option and generated the graph of above two components and labeled as age to classify and generated following conclusion:


Conclusion:
As most of the people fewer than 18 are liable to react before watching a movie than the older ones.

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