Logical Fault Finding Approach
Understand how to apply logic to novel fault situations and how to make progress in identifying the cause of the fault using logical progress.
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 |
7.0 |
rather important |
1.0 |
6.29 |
7.0 |
P2 |
Recovery |
6.0 |
difficult to replace |
1.0 |
3.47 |
6.0 |
P3 |
Study-Exp |
7.0 |
generally learned from experience |
1.0 |
3.48 |
7.0 |
P4 |
StaffAvailable |
1.0 |
1 person available to deliver this knowledge |
-1.0 |
2.84 |
1.0 |
P5 |
StaffNeeded |
3.0 |
3 people to deliver this knowledge |
1.0 |
3.32 |
3.0 |
P6 |
Specialised |
3.0 |
largely generally used knowledge |
1.0 |
4.96 |
3.0 |
P7 |
Stability |
5.0 |
intermediately stable knowledge |
-0.7 |
6.46 |
5.0 |
P8 |
LearnTime |
4.0 |
2 weeks |
1.0 |
3.42 |
4.0 |
To read the table easily consider the name followed the clarifier as a basic statement for each value (row).
The numbers provide more detail.
