Structure Matrix
......................................Component
...................................1 ..... 2 .....3 ......4
Eff_class.................. .893 .139 .236 .143
Prod_features.......... .889 -.194 .209 .219
offer......................... .912 .006 .486 .278
Brand_recognition... .183 .057 .905 .243
Price....................... -.015 .939 .106 .146
Service_network..... ...643 .163 .766 .633
Pre_sales_support.. .839 .124 .811 .275
After_sales_support.. .506 .301 .478 .760
On_times_delivery... -.079 .938 -.018 -.240
Consultant_recn...... .026 -.164 .147 .897
Extraction Method: Principal Component Analysis.
Rotation Method: Promax with Kaiser Normalization.
I have done the Principal component analysis. In my survey, I asked the question "How much weight-age would you give to these factors before making purchase decision on a level 1 to 5 with 5 being highest" to determine the factors affecting purchase decision. Now what i make out of a analysis is that despite the presumption that purchase decision is the latent construct there are 4 different latent variables in between or the components on which group of factors are loading which could be seen through pattern matrix but how should i name these components. What should i write in my analysis for the report. For Ex. Efficiency class, product features and Discount offers(First three factors in table) seems to be correlated with 1st component though in reality they can't be grouped into anything which could be assigned a name. Thanks in advance
......................................Component
...................................1 ..... 2 .....3 ......4
Eff_class.................. .893 .139 .236 .143
Prod_features.......... .889 -.194 .209 .219
offer......................... .912 .006 .486 .278
Brand_recognition... .183 .057 .905 .243
Price....................... -.015 .939 .106 .146
Service_network..... ...643 .163 .766 .633
Pre_sales_support.. .839 .124 .811 .275
After_sales_support.. .506 .301 .478 .760
On_times_delivery... -.079 .938 -.018 -.240
Consultant_recn...... .026 -.164 .147 .897
Extraction Method: Principal Component Analysis.
Rotation Method: Promax with Kaiser Normalization.
I have done the Principal component analysis. In my survey, I asked the question "How much weight-age would you give to these factors before making purchase decision on a level 1 to 5 with 5 being highest" to determine the factors affecting purchase decision. Now what i make out of a analysis is that despite the presumption that purchase decision is the latent construct there are 4 different latent variables in between or the components on which group of factors are loading which could be seen through pattern matrix but how should i name these components. What should i write in my analysis for the report. For Ex. Efficiency class, product features and Discount offers(First three factors in table) seems to be correlated with 1st component though in reality they can't be grouped into anything which could be assigned a name. Thanks in advance