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Shayan Iqbal
Threats to internal
validity
Collaborative teaching
Students
Achievements in
mathematics
Internal validity is the extent
to which a study establishes a
trustworthy cause-and-effect
relationship between a
treatment and an outcome
Internal validity
History Specific events, in addition to the
treatment, that occur between the first
and second measurement.The longer the
interval between the pretest and
posttest, the more viable this threat
Historical event
Maturation Changes in physical,
intellectual, or emotional characteristics,
that occur naturally over time, that
influence the results of a research study.
In longitudinal studies, for instance,
individuals grow older, become more
sophisticated, maybe more set in there
ways.
Maturation
Testing Also called “pretest sensitization,” this
refers to the effects of taking a test upon
performance on a second testing. Merely
having been exposed to the pretest may
influence performance on a posttest.Testing
becomes a more viable threat to internal
validity as the time between pretest and
posttest is shortened.
Testing
Instrumentation Changes in the way a
test or other measuring instrument is
calibrated that could account for
results of a research study (different
forms of a test can have different
levels of difficulty).This threat
typically arises from unreliability in the
measuring instrument. Can also be
present when using observers
Instrumentation
Occurs when individuals are selected for
an intervention or treatment on the basis
of extreme scores on a pretest. Extreme
scores are more likely to reflect larger
(positive or negative) errors in
measurement (chance factors). Such
extreme measurement errors are NOT
likely to occur on a second testing.
Statistical Regression
Experimental mortality is only likely to
be a significant threat to internal validity
if the experiment lasts a long time, since
the potential for reasons for dropouts to
occur increase (e.g., geographical move,
apathy, problems of availability, etc.).
This is especially likely to be the case if
the treatment condition is particularly
demanding
Mortality
Sometimes the treatment and control
group participants are able to
communicate with each other.The
danger is that some aspects of the
experimental stimulus (i.e., the
intervention) are passed on from the
treatment group to the control group
(e.g., methods, materials, perspectives,
etc.); that is, there is an exchange of
information between the groups, which
influences the behaviour of the control
group.
Diffusion
Expectations of an outcome by
persons running an experiment may
significantly influence that outcome.
Experimenter bias
THANK
YOU

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Threats to internal validity

  • 1. Shayan Iqbal Threats to internal validity
  • 3. Internal validity is the extent to which a study establishes a trustworthy cause-and-effect relationship between a treatment and an outcome Internal validity
  • 4. History Specific events, in addition to the treatment, that occur between the first and second measurement.The longer the interval between the pretest and posttest, the more viable this threat Historical event
  • 5. Maturation Changes in physical, intellectual, or emotional characteristics, that occur naturally over time, that influence the results of a research study. In longitudinal studies, for instance, individuals grow older, become more sophisticated, maybe more set in there ways. Maturation
  • 6. Testing Also called “pretest sensitization,” this refers to the effects of taking a test upon performance on a second testing. Merely having been exposed to the pretest may influence performance on a posttest.Testing becomes a more viable threat to internal validity as the time between pretest and posttest is shortened. Testing
  • 7. Instrumentation Changes in the way a test or other measuring instrument is calibrated that could account for results of a research study (different forms of a test can have different levels of difficulty).This threat typically arises from unreliability in the measuring instrument. Can also be present when using observers Instrumentation
  • 8. Occurs when individuals are selected for an intervention or treatment on the basis of extreme scores on a pretest. Extreme scores are more likely to reflect larger (positive or negative) errors in measurement (chance factors). Such extreme measurement errors are NOT likely to occur on a second testing. Statistical Regression
  • 9. Experimental mortality is only likely to be a significant threat to internal validity if the experiment lasts a long time, since the potential for reasons for dropouts to occur increase (e.g., geographical move, apathy, problems of availability, etc.). This is especially likely to be the case if the treatment condition is particularly demanding Mortality
  • 10. Sometimes the treatment and control group participants are able to communicate with each other.The danger is that some aspects of the experimental stimulus (i.e., the intervention) are passed on from the treatment group to the control group (e.g., methods, materials, perspectives, etc.); that is, there is an exchange of information between the groups, which influences the behaviour of the control group. Diffusion
  • 11. Expectations of an outcome by persons running an experiment may significantly influence that outcome. Experimenter bias