
Evidence-Based
Results -
Using Client Workforce Data
When considering whether to incorporate assessment
systems into your hiring process, it is worth paying
attention to the following facts.
A growing body of research continues to show that valid and reliable assessment
instruments, when used correctly, can improve hiring accuracy and produce a significant,
measurable return on investment.
Assessment tools or approaches that compare company and position-specific success
factors with important job outcomes rank as the most accurate, relevant and legally
defensible systems available in the marketplace. Such approaches typically require
that a template or benchmark be created for a position. Benchmarks are created
by collecting competency and performance data from existing employees in the
position. Complex statistical analyses are then conducted to determine which
competencies best predict both successful and unsuccessful performance. Once
these competencies have been identified, organizations can use their customized
and relevant performance models to significantly improve their hiring accuracy.
If you currently use or plan to use an assessment tool or approach that does
not follow the model above, you are likely using a tool with limited predictive
accuracy.
How can you assess the accuracy of a vendor's assessment tools?
There are really several
factors that should be considered. One of the most important considerations, however, is discussed below.
Ask the vendor to provide you with objective evidence detailing
correlations obtained between specific instrument predictors
(i.e., competencies) and important
job outcomes. Ask them to provide research reports of client return on investment.
If no such information is available, seriously reconsider
your decision to use that
tool.
Most general assessment tools available in the marketplace produce correlations
ranging from 0.15 to 0.25, where 1.00 is a perfectly corresponding relationship.
The
closer correlations come to 1.00, the more accurate you can expect the instrument
to be.
As a point of contrast, PHD tools and our benchmarking methodology routinely
achieve correlations between independent predictors and specific job outcomes
of 0.70 to 0.90 or higher. Furthermore, in
our published client ROI studies, the statistical differences between the
hiring accuracy of a client's previous hiring procedures and the
accuracy of the performance benchmarks are so large that they are often associated
with probability values of p < 0.00001.
This means that the results may only likely
be
due to chance occurence 1 time in ten thousand applications of the
system. It is worth noting here that acceptibility for a significant result in
science
is
typically
any
result
associated
with a probability value of less than
p < 0.05: this means that a result may be due to chance 5 times
or less in
one
hundred
trials or applications. Our results have exceeded this acceptibility threshold
by a significant margin.
 |
 |

PHD
is always prepared to prove the effectiveness
of our technology and method entirely
at no cost on a trial / evaluation
basis.
We will demonstrate the accuracy of the
tools and help you to calculate your
expected return on investment based on
the validation trial. We believe
in proving the value of our tools first. Take advantage of our no risk, no obligation offer today. |
|
 |
 |
 |
|