Tasks perceived completed and inexperienced personnel

[liizz]

Hi all,

Quest1: I have used a variable quality index whereby I want to determine the level of quality according to some defined parameters. I have used constant values that I have obtained from SPSS correlations. But I want the quality level to fluctuate since I will test my model against scenarios. I have read about sensitivity simulations whereby papers use the term 'Sensitivity Effect of Team Experience etc'. Sensitivity is not available in PLE.

Quest2: The team performance is influenced by the productivity. When the team has more ‘initial inexperienced personnel’, the ‘Effect of experience on productivity ’ keeps on increasing and also ‘Tasks perceived completed’ is also increasing. My comments: I change the Assimilation Delay which was 2/3 month and I use 2. But the Quality index has moved to more than 1, it should stay within the range 0 to 1. Also, the effect of experienced on productivity keeps on increasing making no distinction between of the experienced and inexperienced persons.

The second part was working well when it was not integrated along.

Thanks to help
Liizz

[Administrator]

Quest1: I have used a variable quality index whereby I want to determine the level of quality according to some defined parameters. I have used constant values that I have obtained from SPSS correlations. But I want the quality level to fluctuate since I will test my model against scenarios. I have read about sensitivity simulations whereby papers use the term 'Sensitivity Effect of Team Experience etc'. Sensitivity is not available in PLE.

I cannot see a variable called "quality index" in the model.

Quest2: The team performance is influenced by the productivity. When the team has more ‘initial inexperienced personnel’, the ‘Effect of experience on productivity ’ keeps on increasing and also ‘Tasks perceived completed’ is also increasing. My comments: I change the Assimilation Delay which was 2/3 month and I use 2. But the Quality index has moved to more than 1, it should stay within the range 0 to 1. Also, the effect of experienced on productivity keeps on increasing making no distinction between of the experienced and inexperienced persons.

You will need to look a the tabular output here and try and figure out why the results are not what you expect. If the variable should stay within the bounds 0-1, you will need to build in model structure to do this (you could use MIN/MAX functions to do this).

[liizz]

Sorry quality index is represented as QI in the model.

I got confused with what you said model structure.

You will need to look a the tabular output here and try and figure out why the results are not what you expect. If the variable should stay within the bounds 0-1, you will need to build in model structure to do this (you could use MIN/MAX functions to do this).

[liizz]

For the quality index, I have used an IF THEN ELSE statement.

Thanks
Liizz

[tomfid]

"Structure" in this context means that if QI must be 0 to 1, the equations that are inputs to QI, and the form in which they are combined, must always produce a result that is 0 to 1.

Example 1 (bad):

QI = a*schedule_pressure + b*overtime

There's no guarantee in general that this will yield a (0,1) bounded result, which is why linear regression results are seldom directly usable in a robust model.

Example 2 (good):

QI = f(schedule pressure) * g(overtime)

As long as f() and g() are functions (possibly lookups) that are defined within (0,1) the result is guaranteed to be (0,1).