Measurement
Quality
The
process
by
which
concepts
are
transformed
into
measures
is
known
as
operationaliza-
tion.
The
commonly
heard
phrase,
'How
is
that
operationalized?',
means
how
is
a
concept
measured.
In
practice,
it
is
not
always
possible
to
measure
well
important
concepts.
There
are
two
standard
metrics
used
to
evaluate
the
quality
of
measures,
namely,
validity
and
reliability.
To
these
two,
I
would
add
a
third,
which
I
refer
to
as
discriminatory
power.
These
three
criteria
are
summarized
in
Table
15.2.
validity
than
others.
Figure
15.1
illustrates
the
concept
of
validity.
The
figure
on
the
top
depicts
a
measure
with
a
low
level
of
validity.
The
overlap
between
the
concept
and
the
measure
is
small.
The
figure
in
the
middle
depicts
a
measure
with
a
moderate
level
of
valid-
ity,
while
the
figure
at
the
bottom
represents
one
with
a
high
leve]
of
validity,
as
demonstrated
by
the
large
overlap
berween
the
concept
and
the
measure.
To
better
understand
validity,
consider
the
example
of
civic
engagement.
Civic
engage-
ment
refers
to
the
ways
in
which
citizens
participate
in
the
Jife
of
their
community
either
measure
of
civic
engagement
is
voting
(Putnam
2000).
Voting
in
local
elections
can
be
a
way
in
which
people
participate
in
the
life
of
their
community
and
voting
in
local
elections
suggests
that
self-interest
is
the
primary
motivation
for
voting
(Downs
1957;
Riker
and
Ordeshook
1968).
These
benefits
include
the
ability
to
influence
policy
to
one's
own
advantage,
but
are
limited
to
them.
They
also
include
psychological
benefits,
such
as
a
sense
of
empowerment,
wellbeing,
and
self-satisfaction.
Research
also
finds
that
people
vote
for
normative
reasons
and
habit
(Gerber
et
al.
2008
)
Criterion
Definition
flidity
extent
to
which
a
measure
captures
the
concept
it
is
intended
to
represent
Seliability
extent
to
which
a
measure
produces
consistent
and
dependable
resulis
Zsca'iminatory
power
extent
to
which
a
measure
is
able
to
distinguish
between
two
concepts
Table
15.2
Criteria
for
measurement
quality