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Parameter Profiles

Numeric parameter profiles show the frequency of value assignment for the entire map.

Parameter Profiles

Several numeric and text based parameters are elicited during the construction of a Knowledge Structure map. Numeric parameters are given value during interview by the adjustment of sliders. The numeric parameters used in this study are defined on the parameters page.

This page considers how parameters have been assigned to all of the knowledge nodes on the map. The number of knowledge nodes elicited for this map was 27 so the number that parameters have been provided for is one less that this, 26 (excluding the knowledge focus node). A series of graphs show how values for parameters, 0--10, have been assigned for all of the knowledge nodes on the map. Each graph is a plot of number of nodes against the value assigned. Each step along the x axis shows how many knowledge nodes were given a specific parameter value. Therefore if 20 knowledge nodes were given the value 5 then the height of the graph at x = 5 would be 20.

parameter spread

The average value for Importance is 6.96

Experts interviewed, appear to believe that the knowledge as a whole is rather important.

parameter spread

The average value for Complexity is 6.81

Expert opinion appears to show that in general, the knowledge is quite complex and quite difficult to learn.

parameter spread

The average value for Study-Exp is 5.81

Experts interviewed, appear to believe that the knowledge as a whole is learned mainly by experience but needs study.

parameter spread

The average value for LearnTime is 5.42

Expert opinion appears to show that in general, the knowledge is 1 month.

parameter spread

The average value for Justifiable is 4.62

Expert opinion appears to show that in general, the knowledge is moderately justifiable knowledge.

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