1
Q
What is the interpretation of weights “within” an attribute?
A
Attribute weights reflect the additional value generated by increasing the attribute from its least-preffered to the most-preffered level
2
Q
What is the interpretation of weights “between” attributes?
A
w1= 0.3
w2= 0.6
–>Increasing attribute a2 from its least preffered to most preffered contributes to the overall valuation twice as much as an increase in attribute a1
3
Q
Describe the range effect?
A
Important cognitive bias:
* If the attribute rate changes, the decision weights have to change
4
Q
If all attribute ranges are kept constant and the range of one attribute decreases ….
A
the corresponding weight must decrease
