So the UConn trip went well I'd say. For those who couldn't make it, I did a short presentation on my dissertation topic - building towards a theory of task properties. By this, I mean using regression analysis to measure the influence of task properties (i.e. surface {display} & depth {statistical})* on dependent variables such as judgment performance (ra), environmental certainty (Re), knowledge (G), and judgmental consistency (Rs).
Because there are ten proposed task properties, it is important to choose wisely which properties to analyze given the constraints of research design (i.e. I don't want to spend five years getting the 1500 subjects a large-scale test would require). I would like to start a discussion with anyone interested in helping me to find clarity in this jumble.
I have been thinking about analyzing the relationship of three properties - number of cues, cue intercorrelations, and time to complete task. Intuitively, it makes sense to me that the interaction of time and number of cues will be strong. If subjects have to assess a large number of cues in a short time, intuitive cognition should be induced.
Other task properties and their interactions may be of equal or greater importance. Kathlea (UConn) pointed out the importance of the property "task decomposition." No doubt she hit the nail on the head. Her suggestion also made me think of the cues in terms of functional relations to one another (i.e. task decomposition = f(number of cues, display, etc) - thus adding more complexity to this already complex puzzle. If anyone doesn't mind brainstorming, look at the list from the Hammond et al. citation below and throw out some ideas.
* For more information on proposed task properties, check out Hammond et al. (1987; p. 756).
**Note: the dependent variables are the parameters of the Lens Model Equation.
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