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Psychological Assessment
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Cards (26)
Validity
The
degree
to which a test
measures
what it is supposed to measure
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Facets of Validity
Construct
Validity
Content
Validity
Criterion
Validity
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Why is Validity Important?
Without validity, assessment results are useless and attempts to help the client could end up
harming
them
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Relationship between Reliability and Validity
A measure can be
reliable
but not valid, or
reliable
and valid
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Reliability-Validity Metaphor
High reliability-low validity:
Darts
clustered but
far
from target
Low reliability-low validity:
Darts scattered
across board
High reliability-high validity:
Darts clustered near target center
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Face Validity
The degree to which an assessment or test
subjectively
appears to measure the
variable
or construct it is supposed to measure
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Face validity does not necessarily mean a test is a valid measure of a
construct
, just that it appears to be</b>
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Construct
An attribute, skill, or ability that is based on established
theories
and exists in the human
brain
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Construct Validity
The degree to which a test measures the
construct
it is supposed to
measure
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Construct
Validity
Established by looking at numerous studies using the test
Includes
convergent
validity (agreement with other validated tests of the same construct) and
discriminant
validity (lack of correlation with tests of different constructs)
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Threats to construct validity include not having a
solid
definition of the construct and not conducting enough
research
studies
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Hamilton Psychiatric Rating Scale for Anxiety
A previously validated test that measures anxiety
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Low correlation with the Hamilton Rating Scale for Anxiety and the BDI
Establishes
discriminant
validity
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Discriminant validity
The
extent
to which a test measures what it is supposed to and not some theoretically
unrelated
construct
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Threats to
Construct
Validity:
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Threats to Construct Validity
Not having a
solid
definition of the construct
Not conducting enough
research
studies to prove construct validity
Losing connection between the
theoretical
construct and how it is experienced in the
real
world
Having
administration
and
scoring
procedures that interfere with the outcomes of the test
The
expectations
of the experimenter can influence the
outcomes
of a study
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Content Validity
How
accurately
an assessment or measurement tool
taps
into the various aspects of the specific construct in question
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Measuring Content Validity
1. Rely on the
knowledge
of subject-matter experts
2. Provide experts with the
measurement tool
3. Ask experts to provide
feedback
on how well each
question
measures the construct
4. Analyze the expert
feedback
5. Make informed
decisions
about the effectiveness of each
question
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Content Validity in a Clinical Setting
Psychiatrists evaluate each question in an assessment tool designed to measure
depression severity
Provide ratings on how well the wording of each question taps into measuring
depression symptoms
Use the
expert feedback
to alter or eliminate questions that don't measure depression well
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Content Validity in a Business Setting
Retailers
survey customers about their
buying
experience
Questions focused on
aspects
of customer service have
high
content validity
Questions about product affordability have
lower
content validity as it is a
separate
construct
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Content validity
, while somewhat
subjective
, is a critical component of developing a high quality assessment tool
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Predictive Validity
How well a specific tool
predicts future behavior
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Determining Predictive Validity
1. Calculate the
correlation coefficient
between the assessment results and the subsequent targeted behavior
2. The stronger the correlation, the
higher
the degree of predictive validity
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Predictive Validity Example
Employers use
personality assessments
to hire
conscientious
employees
The assessment must accurately measure conscientiousness to have
predictive validity
Assess conscientiousness through questions about
timeliness
,
honesty
, organization
Evaluate if
high scorers
on the assessment demonstrate those behaviors in the workplace
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Concurrent Validity
The extent to which the results of a particular test or measurement correspond to those of a
previously established
measurement for the
same construct
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Concurrent Validity Example
Psychologist develops a new
depression
test (Rice Depression Scale)
Compares it to an established
depression
test (Beck Depression Inventory)
Finds high
positive
correlation between the two tests
Concludes the Rice Depression Scale has
concurrent
validity
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