Table 1 below shows the Factor Loading Matrix from the computer output of factor analysis in a product category with 10 initial attributes: A, B, C,, J. As Table 1 indicates, the factor analysis results indicates that the 10 initial attributes can be grouped into three factors or super-attributes. Now the task for you as a marketing researcher is to use the Factor Loading Matrix results in Table 1 to decide which of the initial 10 attributes should be grouped together to make the three factors or super-attributes.

1. How many of the initial 10 attributes should be grouped together as Factor 1?

A. 2

B. 3

C. 4

D. 5

E. 6

2. How many of the initial 10 attributes should be grouped together as Factor 2?

A. 2

B. 3

C. 4

D. 5

E. 6

3. Initial attribute G should be grouped together with which of the following initial attribute(s)?

A. Attribute B

B. Attribute D

C. Attribute E

D. Attribute F

E. All of the above

Table 1. Factor Loading Matrix Initial Attribute Factor 1 LA 0.796 -0.791 Factor 3 4.D SE 6. F 7.6 XH 9.1 10 0.101 0.223 0.189 0.345 0.129 0.045 0.109 Factor 2 0.061 0.009 0.361 0.029 0.167 0.211 -0.456 0.029 0.426 0.04 0.146 0.575 0.017 0.171 0.145 0.156 0.084 0.209 0.282