Context effects are studied with the help of a variety of experimental setups. Often they use preferential choice tasks, but sometimes, also inference tasks are used. How do these differ from each other?
To my understanding, a (multi-alternative, multi-attribute) preferential choice task is this one:
Which of the 3 alternative cars would you buy, based on following 2 attributes?
And a (multi-alternative, multi-attribute) inferential task is that one:
Which of the 3 suspects has most likely committed the crime, based on the following 2 attributes?
- Have I phrased the tasks correctly? Are the examples valid?
- Is the difference that preferential choice requires the attributes that include subjectivity when comparing the attriubte to other attrs while inferential tasks explicitly use "objective" attributes?