[IPAC-List] Candidate Reduction Strategies
Kelly Sorensen
kelsoren at gmail.com
Mon Mar 12 21:54:08 EDT 2012
Why not use multiple hurdle approach starting with Min Quals and a Training
and Experience measure?
Kelly
On Mon, Mar 12, 2012 at 6:20 PM, TR Lin <TR.Lin at lmsvsd.k12.ca.us> wrote:
> That brings back some of my good memory, and it's getting harder and
> harder. I remember Karen published a great article on Public Personnel
> Management on this very topic about 10 or so years ago. Do not have access
> to it right away, but it's worth the effort, Adele.
>
> T.R. Lin
> Director, Classified Personnel
> Personnel Commission
> La Mesa-Spring Valley School District
> 619-668-5700 ext. 6483
> tr.lin at lmsvsd.k12.ca.us
>
> >>> "Karen Coffee" <kcoffee1 at frontiernet.net> 3/12/2012 2:34 PM >>>
> In California many agencies have a long history of only accepting a
> predetermined number of applications. What Lance proposes would also work
> in Calif. A note of caution, in this state an informal Attorney General's
> opinion many years ago suggested that random selection before any screening
> device would violate the state constitution which requires competition
> based
> on competitive exam. Random selection absent the preceding use of any
> selection process has been deemed competition solely based on chance.
> Karen Coffee
>
> -----Original Message-----
> From: ipac-list-bounces at ipacweb.org [mailto:ipac-list-bounces at ipacweb.org]
> On Behalf Of Lance Seberhagen
> Sent: Monday, March 12, 2012 12:43 PM
> To: Demooy, Adele
> Cc: 'ipac-list at ipacweb.org'
> Subject: Re: [IPAC-List] Candidate Reduction Strategies
>
> Hi Adele:
>
> The best way to reduce the number of applicants to be tested is to use
> random selection. For example, assume 3,000 people apply for the job, and
> you want to administer the written test to a maximum of only 1,000
> applicants. Here are the steps that I would recommend:
>
> 1. Screen the 3,000 applications for minimum qualifications to screen out
> the obviously unfit applicants. (Most employers do this as part of the
> online application process.) Let's say that 2,500 of the original
> 3,000 applicants pass this step.
>
> 2. Assign a unique code number in consecutive order (1-2,500) to each of
> the remaining 2,500 applicants.
>
> 3. Use a random numbers generator (e.g., RANDBETWEEN in Excel) to list the
> 2,500 numbers in random order.
>
> 4. Select the first 1,000 random numbers (applicants) to invite to the
> written test. Place the remaining 1,500 random numbers (applicants) on a
> waiting list, or discard them.
>
> By definition, random selection gives each applicant the same probability
> of
> being selected. Therefore, the method is objective, fair, and
> nondiscriminatory, provided that you always assign code numbers to
> applicants BEFORE you run the random numbers generator each time. However,
> by definition, random selection also has zero validity (or
> job-relatedness).
> Therefore, there could be an issue if Civil Service Rules or an agency's
> Charter require all selection procedures to be merit-based, but most
> agencies should be able justify random selection for part of the selection
> process as long as the overall process is based on merit.
>
> Approximations of random selection (e.g., date of application, birth date,
> Social Security Number, alphabetical order of last name) should not be used
> because these methods have zero validity AND they may have adverse impact
> due to hidden biases. Therefore, they could be discriminatory. There is
> also the possibility of cronyism if applicants are selected by date of
> application and "insiders" can give advance notice of job opportunities to
> their friends and relatives.
>
> Lance Seberhagen, Ph.D.
> Seberhagen & Associates
> 9021 Trailridge Ct
> Vienna, VA 22182
> Tel 703-790-0796
> www.seberhagen.com **
>
>
>
>
> On 3/12/2012 11:16 AM, Demooy, Adele wrote:
> > For economic reasons we are looking into ways to reduce the number of
> candidates who participate in exams. One option we are considering is
> accepting a predetermined number of applications based on statistics from
> previous exam administrations. I am interested in your feedback on this
> approach or learning about any other methods you are using.
> >
> >
> >
> >
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> >
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