K1RQ at pge.com
Wed Jan 8 13:47:18 EST 2014
Great question Patrick…I was just thinking through this same issue yesterday so thanks for bringing to the IPAC list.
My immediate project was not for norming purposes specifically, but rather for calculating validities/correlations with performance data. This same question seems to creep up in adverse impact (where inclusion of all attempts for applicants can exacerbate adverse impact…although that seems to be the approach preferred by auditing/investigating agencies), calculating validity coefficients (where I suspect inclusion of all attempts for applicants can artificially bolster correlations), and in establishing norms (where scoring and pass rates can be affected depending on approach).
Thanks again for the question and I look forward to the discussion and answers from others.
Performance, Selection & Inclusion
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K1RQ at pge.com<mailto:K1RQ at pge.com>
From: ipac-list-bounces at ipacweb.org [mailto:ipac-list-bounces at ipacweb.org] On Behalf Of Patrick McCoy
Sent: Wednesday, January 08, 2014 9:50 AM
To: IPAC-List at ipacweb.org
Subject: [IPAC-List] Norms
I am currently running off some normative data on a test (means and frequency distributions) to see how people are doing on it and to see what proportion pass at various cutoff scores.
My question concerns how to handle the issue of candidates taking the same test more than once. One option would be to use only the first test score. Another would be to use all scores. A third option would be to use only the most recent score.
My tendency would be to use the most recent score or all scores, and I suspect that the results from these two approaches will be quite similar in most instances. Does that make sense or am I missing something?
Your thinking on this would be appreciated!
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