Lecture 5: Deveopment of a study plan Flashcards
One-stage designs
decisions are made after all measures have been administered and thus, all information is available and considered
Single screen
a singular test result justifies all ensuing decisions
(generally not advisable)
Non-sequential test battery
Every applicant takes the entire test battery
- Decision is made after all info has been integrated according to the a priori formulated decision rules
What are three strategies of a multi-stage desing?
- Pre-reject strategy
- Pre-select strategy
- Completely sequential strategy
Pre-reject strategy
A selection of measures is used, but not everyone takes all measures.
1) 1. Test - applicants are dropped who fail to reach a certain score (the rest of applicants take further test)
2) After 2. testing - final rejection or positive diagnosis
Pre-select strategy
- applicants are already terminally accepted after the 1st test
- everybody else is subjected to futher testing
Completely sequential strategy
combination of pre-rejection and pre-selection strategy
1) After 1. test applicants are catgeorized in three groups (pre-selected, pre-rejected and further tests)
2) For poeple taking further test: Further accepted (positive diagnosis) or further rejected.
What should be considered in one-stage and multi-stage study plans?
- Selection rate
- Base rate
- Criterion validity
- Interactions of these variables.
Selection rate
- the rate of applicants who are hired.
(b+d)/(a+b+c+d)
Hit rate
From the selected people, which are suited
b/(b+d)
If a high criterion validity is given …
… the scatter plot is more narrow -> the error areas for a and d get smaller (good for the hit rate)
What happens if you shift the selection rate? (case for higher and lower cutoff)
- It makes only one of the errors smaller
- Higher cutoff:Less suitable people get accepted, more unsuitable poeple get rejected.
- Lower cutoff: More suitable people get accepted, less unsitable get rejected.
Base rate
the proportion of suitable candidates
(a+b)/(a+b+c+d)
- hits that can be expected upon random selection.
Interaction between base rate and hit rate
high base rate (and good criterion validity) are helpful for achieving a high hit rate (suitable people are selected)
Taylor-Russel Tables - what are they good for?
For estimating hit rates