staffing decisions
Decisions associated with
recruiting, selecting,
promoting, and separating
employees
high-performance work practices
Practices that
include the use of formal
job analyses, selection
from within for key positions, merit-based promotions, and the use of
formal assessment devices
for selection.
multinational staffing
Procedures that involve staffing for organizations in
more than one country.
validity
The accurateness
of inferences made based
on test or performance
data; also addresses
whether a measure accurately and completely rep
resents what was intended
to be measured.
criterion=related validity
Validity approach that is
demonstrated by correlating a test score with
a performance measure;
improves researcher’s confidence in the inference
that people with higher
test scores have higher
performance.
selection ratio
Index
ranging from 0 to 1
that reflects the ratio of
positions to applicants;
calculated by dividing
the number of positions
available by the number of
applicants.
false positive
Decision
in which an applicant was
accepted but performed
poorly; decision is false
because of the incorrect prediction that the
applicant would perform
successfully and positive
because the applicant
was hired.
false negative
Decision
in which an applicant was
rejected but would have
performed adequately
or successfully; decision
is false because of the
incorrect prediction that
the applicant would not
perform successfully and
negative because the
applicant was not hired.
true negative
Decision in
which an applicant was
rejected and would have
performed poorly if he or
she were hired; decision is
true because of the correct
prediction that the applicant would not be a good
performer and negative
because the applicant was
not hired.
true positive
Decision in
which an applicant was
accepted and performed
successfully; decision is
true because of the correct prediction that the
applicant would be a good
performer and positive
because the applicant
was hired.
cut score
Specified point
in a distribution of scores
below which candidates
are rejected; also known as
a cutoff score.
criterion-referenced cut
score
Score established
by considering the desired
level of performance for a
new hire and finding the
test score that corresponds
to the desired level of
performance, sometimes
called domain-referenced
cut score
norm-referenced cut score
Score based on
some index of the test
takers’ scores rather
than any notion of job
performance.
uniform guidelines on employee selection procedures
Official
government guidelines
designed to assist employers, labor organizations,
employment agencies, and
licensing and certification
boards to comply with
federal requirements.
utility analysis
Technique
that assesses the economic
return on investment of
human resource interventions such as staffing
and training
base rate
Percentage of
the current workforce that
is performing successfully.
comprehensive staffing model
Model that gathers
enough high-quality information about candidates
to predict the likelihood
of their success on the varied demands of the job.
clinical decision making
Method that uses judgment to combine information and to make a decision about the relative
value of different candidates or applicants
statistical decision making
Method that combines
information according to
a mathematical formula.
compensatory system
Model in which a good
score on one test can compensate for a lower score
on another test.
hurdle system
Noncompensatory strategy in
which an individual has no
opportunity to compensate at a later assessment
stage for a low score in an
earlier stage of the assessment process.
multiple hurdle system
Strategy constructed from
multiple hurdles so that
candidates who do not
exceed each of the mini
mum dimension scores
are excluded from further
consideration.
multiple regression analysis
Method of
analysis that results
in an equation for
combining test scores
into a composite based
on the correlations
among the test scores
and the correlations of
each test score with the
performance score.
cross-validation
Process used with multiple
regression techniques
in which a regression
equation developed on a
first sample is tested on a
second sample to deter
mine if it still fits well;
usually carried out with
an incumbent sample,
and the cross-validated
results are used to weight
the predictor scores of an
applicant sample.