Diagnostics fault finding methods
Know the main Logical and analytical approaches to fault finding
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 |
8.0 |
very important |
1.0 |
6.29 |
7.25 |
P2 |
Recovery |
8.0 |
very difficult to replace |
1.0 |
3.47 |
5.5 |
P3 |
Study-Exp |
7.0 |
generally learned from experience |
1.0 |
3.48 |
5.75 |
P4 |
StaffAvailable |
1.0 |
1 person available to deliver this knowledge |
-1.0 |
2.84 |
1.25 |
P5 |
StaffNeeded |
3.0 |
3 people to deliver this knowledge |
1.0 |
3.32 |
3.0 |
P6 |
Specialised |
6.0 |
modelratley specialised knowledge |
1.0 |
4.96 |
3.5 |
P7 |
Stability |
4.0 |
modelrately stable knowledge |
-0.7 |
6.46 |
5.75 |
P8 |
LearnTime |
4.0 |
2 weeks |
1.0 |
3.42 |
3.75 |
To read the table easily consider the name followed the clarifier as a basic statement for each value (row).
The numbers provide more detail.
