Millisecond Forums

Hi, 

  I'm wondering if anyone can help me to understand the multi factor summary file output. I've downloaded my data, and I'm uncertain what is being associated with what for the 3rd and 4th blocks of items. I have 2 attribute dimensions - good versus bad, and 4 conceptual categories - containing cultural elements. I have 4 sets of d-scores, each based on comparing one pair of categories. I do not know what attributes  were compared to which categories - good versus bad, to determine whether positive or negative scores reflect strong or weak associations. 
 
Could you kindly help?

<item attributeAlabel>
/1 = "GOOD"
</item>

<item attributeA>
/1 = "Wonderful"
/2 = "Best"
/3 = "Superb"
/4 = "Excellent"
</item>

<item attributeBlabel>
/1 = "BAD"
</item>

<item attributeB>
/1 = "Terrible"
/2 = "Awful"
/3 = "Worst"
/4 = "Horrible"
</item>

<item targetAlabel>
/1 = "culture 1"
</item>

<item targetA>
/1 = "item1.1"
/2 = "item2.1"
/3 = "item3.1"
/4 = "item4.1"
</item>

<item targetBlabel>
/1 = "culture 2"
</item>

<item targetB>
/1 = "item1.2"
/2 = "item2.2"
/3 = "item3.2"
/4 = "item4.2"
</item>

<item targetClabel>
/1 = "culture 3"
</item>

<item targetC>
/1 = "item1.3"
/2 = "item2.3"
/3 = "item3.3"
/4 = "item4.3"
</item>

<item targetDlabel>
/1 = "culture 4"
</item>

<item targetD>
/1 = "item1.4"
/2 = "item2.4"
/3 = "item3.4"
/4 = "item4.4"