Reflection apa format reference less than 5 years
5. Reliability and Validity
What are random error and systematic error, and how do they
influence measurement?
What is reliability? Why must a measure be reliable?
How are test-retest and equivalent-forms reliability measured?
How are split-half reliability and coefficient alpha used to
assess the internal consistency of a measured variable?
What is interrater reliability?
What are face validity and content validity?
How are convergent and discriminant validity used to assess
the construct validity of a measured variable?
What is criterion validity?
What methods can be used to increase the reliability and validity
of a self-report measure?
How are reliability and construct validity similar? How are
they different?
Random and Systematic Error
Random Error
Systematic Error
1) fluctuations in the person’s current mood.
2) misreading or misunderstanding the questions
3) measurement of the individuals on different days or in different
places.
These error may cancel out as you collect many samples
Sources of error including the style of measurement, tendency
toward self-promotion, cooperative reporting, and other conceptual
variables are being measured.
So, we have to reduce these errors to prove scientific findings
How well do our measured variables “capture” the conceptual
variables?
Reliability
Construct Validity
CVs
CVs
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The extent to which the variables
are free from random error, usually
determined by measuring the
variables more than once.
The extent to which a measured
variable actually measures the
conceptual variables that is design
to assess the extent to which it is
known to reflect the conceptual
variable other measured variables
Test-Retest Reliability
The extent to which scores on the same
measured variable correlate with each
other on two different measurements
given at two different time.
Questionnaire 9/20
___ I feel I do not have much proud of.
___ On the whole, I am satisfied with myself
___ I certainly feel useless at times
___ At times I think I am no good at all
___ I have a number of good qualities
___ I am able to do things as well as others
Questionnaire 9/27
___ I feel I do not have much proud of.
___ On the whole, I am satisfied with myself
___ I certainly feel useless at times
___ At times I think I am no good at all
___ I have a number of good qualities
___ I am able to do things as well as others
4
3
2
1
4
3
4
4
1
1
4
4
Retesting Effect
Equivalent-Forms Reliability
The extent to which two equivalent
variables given at different time
correlate each other.
Example. GRE, SAT, GMAT, TOEFL
22 X 45 =
85 X (23-11) =
72-14 X 12 X (7-1) =
32 X 45 =
85 X (41-11) =
72-14 X 25 X (6-1) =
Reliability as Internal Consistency
The extent to which the scores on
the items correlate with each other
and thus are all measuring the true
score rather than reflecting random
error.
Questionnaire 9/20
___ I feel I do not have much proud of.
___ On the whole, I am satisfied with myself
___ I certainly feel useless at times
___ At times I think I am no good at all
___ I have a number of good qualities
___ I am able to do things as well as others
How Do You Measure
Internal Consistency?
Coefficient Alpha
Split-half Reliability
Interrater Reliability
The extent to which the scores
counted by coders correlate
each other.
Aggression Code
Coder 1 Coder 2
Hit boy A ______ ______
Hit boy B ______ ______
Hit girl A ______ ______
Hit girl B ______ ______
1
3
3
1
3
3
2
1
How Do You Measure
Interrater Reliability?
Cohen’s Kappa
Test-Retest Reliability
Equivalent-Forms
Reliability
Reliability as
Internal Consistency
Interrater Reliability
Questionnaire 1
Item 1
Item 2
Item 3
t
Questionnaire 1
Item 1
Item 2
Item 3
Questionnaire 2
Item 1
Item 2
Item 3
Validity
The extent to which a measured variable
actually measures the conceptual variable
(that is, the construct) that it is designed
to assess.
Construct Validity
Criterion Validity
The extent to which a self-report measure
correlates with a behavioral measured
variables.
Face Validity
The extent to which the measured
variable appears to be an adequate
measure of the conceptual variables
I don’t like Japanese
Strongly Disagree 1 2 3 4 5 6 7 8 Strongly Agree
Measured
Variable
Conceptual
Variable
Discrimination
towards Japanese
X
Construct Validity
Content Validity
The degree to which the measured
variable appears to have adequately
sampled from the potential domain
of question that might relate to
the conceptual variable of interest.
Intelligence
Math Aptitude
Verbal Aptitude
Sympathy
Construct Validity
Convergent Validity
Construct Validity
Discriminant Validity
The extent to which a measured variable
is found to be related to other measured
variables designed to measure the same
conceptual variable.
The extent to which a measured variable
is found to be unrelated to other measured
variables designed to measure the different
conceptual variables.
Interdependence Scale
Collectivism Scale
Independence Scale
Interdependence Scale
Predictive Validity
Concurrent Validity
Criterion Validity
The extent to which the scores
can predict the participants’
future performance.
Example. GRE, SAT...
The extent to which the self-report
measure correlate with the behavioral
measure that is assessed at the same
time.
How Do You Improve the Reliability and Validity of
Your Measured Variables?
1. Conduct a pilot test, trying out a questionnaire or other
research instruments on a small group.
2. Use multiple measures.
3. Ensure variability that there is in your measures.
4. Write good items.
5. Get your respondents to take your questions
seriously.
6. Make your items nonreactive.
7. Be certain to consider face and content validity by choosing
reasonable terms and that cover a broad range of issues
reflecting the conceptual variables..
8. Use existing measures.
Face Validity
Content Validity
Convergent Validity
Discriminant Validity
Predictive Validity
Concurrent Validity
Measured
Variables
(Self-Report)
Conceptual
Variables
Other
Domain of the
CVs
Future
behaviors
time
Measured
Variables
(Behavioral)
Items-Scales
Other Items-Scales
Similar Items-Scales