External validity
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Transcript External validity
External validity
Generalization based upon representation
If you can’t see it you can’t talk about it.
EXTERNAL VALIDITY
FOUR ISSUES
GENERALIZATION
Setting
Sampling issues
subjects
Divisions
Operatonalizations
X
Manipulations
Y Measures
timING
X when given?,
Spacing
Y when
measured?
SAME AMOUNT
: HOW DOLED OUT?
Factorial
Quality-type
Right after
statistical
partitioning
Quantity-amount
much latter
GENERALIZATION
One can only generalize to that which one
has examined.
If ya haven’t looked it ya can’t talk about it!
It “it” compares with what you’re examining
you can apply what you found.
Note the “judgment” which must enter in here.
Hence science is tentative.
Setting
Are other variables combining with X which
influence the X-Y relationship so that there is
more than one relationship (statistical
interaction; context)?
Can we / do we see that X acts differently on
Y in diffferent situations (i.e. in combination
with additional variables)?
Setting
EX of pretest.
R OXO
Classical design
R O O
Vs.
R
R
XO
O
Posttest only design
Solomon 4 Design
R OXO
RO O
R XO
R
O
Look at the XY effect when there is a pretest
vs one when there isn’t.
Factorial
R OXO
R ZXO
RO O
RZ O
R XO
R XO
R
R
O
O and Z are Sam Ting
O
Pretest is just example
of any second variable
Z
Factorial
We can now see how X and Z interact.
Example
Drug rehab program
Negotiating in neutral territory vs. under
threat…
Driving on dry vs. icy road.
Statistical partitioning
Same as factorial without randomizing the Zs.
Without randomizing Zs we don’t know what
other variables may be confounded with Z
and be the real causal culprit.
Subjects
We’ve already considered generalization
when looking at sampling…We know our
odds of being wrong in rejecting no
relationship in a population on the basis of a
sample.
also…whatever you want to study…make
certain that these are the types of people you
are studying!
Subjects
Because of statistical interaction, we won’t
know how a given experiment generalizes
without specifically examining each “Z” that
can influence the X-Y relationship.
This is an issue raised by experimental
psychologists that sociologists “know” but
don’t often pass on to their students.
Subjects
…so for each type of subject to which we
want to generalize…we must examine the XY relationship within different categories of
the relevant subject characteristic.
Note also…whatever you want to
study…make certain that these are the types
of people you are studying!
How?
Factorial
Statistical partitioning
Note also…whatever you want to
study…make certain that these are the types
of people you are studying!
Operationalizations
Manipulations …we “play god” and “decide”
what amount of X the subject will receive by
using random assignment…the subject
doesn’t decide the amount…so we’re doing
more than measuring the independent
variable.
Operationalizations
We measure the effect of Y.
X manipulates Y we don’t.
X
Type
Example
Aggression
Pain pill
Counseling
Tutoring
Diet program
Drug rehab program
X
Amount
Total hours of counseling
Total hours of tutoring
Total hours of studying
Total amount of penicillin
Y
Type
(amount is measured but we don’t give
different amounts as we could with X)
Aggression
Hitting Bobo doll vs. person
Tutoring
One on one vs. group
timING
We’re not talking about the “times”…that’s a setting
issue.
We’re not talking about time…that’s a manipulation
issue.
We’re talking about when we administer the total
amount of X…how we dole X out.
& we’re talking about when we assess the effects of
X…do we measure Y right after X occurs or later after
it’s had time to have an effect or lose its effect?
Timing of X
…all at once or in measured doses?
E.g. tutoring, studying, counseling, exercising,
dieting, drugging…etc
Timing of Y
Right after or later?
Some effects occur immediately and then
fade…e.g.: diet programs, inspirational
speeches or sales pitches
Others have a sleeper effect…they don't “kick
in” ‘till later…e.g.: your appreciation of this
great class,