estimate similarity
To know how to recognise and describe two or more things and then be able to compute some estimation as to their similarity.
Knowledge Node Parameter Values
The parameters table shown here provides the raw data elicited during map construction. It also includes the basic analytical values for this specific knowledge item.
| Identifier | Name | Value | Clarifier | Weight | Study Mean | Family Average |
P1 |
Importance |
5.0 |
fairly important |
0.8 |
7.30 |
7.25 |
P2 |
Complexity |
7.0 |
quite complex and quite difficult to learn |
1.0 |
6.14 |
4.5 |
P3 |
Study-Exp |
9.0 |
almost always learned from experience |
1.0 |
6.19 |
8.25 |
P6 |
Specialised |
4.0 |
quite specialised knowledge |
0.6 |
4.68 |
2.25 |
P8 |
Justifiable |
4.0 |
fairly justifiable knowledge |
-0.7 |
3.86 |
3.0 |
To read the table easily consider the name followed the clarifier as a basic statement for each value (row).
The numbers provide more detail.
