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validity
Descripción
Mapa Mental sobre validity, creado por dman gutter el 10/03/2016.
Mapa Mental por
dman gutter
, actualizado hace más de 1 año
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Creado por
dman gutter
hace casi 9 años
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Resumen del Recurso
validity
types of validity
internal validity
3 challenges of internal validity
The cause and effect must be related
cause must precede effect
The cause must be the only factor responsible for the effect
indicates if results reflect experimental manipulation of iv
did the IV cause an effect in the DV
poor internal validity if
There is an alternative explanation for the result
Things other than the IV differ between groups
Poor internal validity can be caused by a confounding variables
threats to internal validity
selection bias
Having groups that were different from one another before the study began
maturation
Biological or psychological changes that occur due to maturation can include the dependent variable
repeated testing / sequence effect
When the administration of a task early in the study affects performanceon a later task
regression to the mean
Extreme scores on a DV will tendto be less extreme when they are assessed again
history
Historical events that occur during the course of a study can influence the DV
instrumentation
The scoringof an instrument might change over time and this changes scores on the DV
attrition
loss of participant, ie drop out, death
Diffusion of treatment
Information a participant has learned about a study (from other participants) influences their behaviour when they participate
subject effects
The participant influences the effects observed in the DV ie placebo
experimenter effects
treating groups differently
construct validity
Whether the manipulation or measurement is related to the underlying psychological construct it should be
face validity
extent to which a manipulation or measure looks, on the face of it, to be valid
convergent validity
extent to which different measures or manipulations of the same construct are related(correlated)
Correlate your measure with another measure that has already been shown to possess high construct validity
discriminative validity
the extent to which measuresor manipulations of different constructs are unrelated(not correlated
Show that your measure gives different outcomes from a measure of a different construct
Content validity
extent to which a measure represents a balanced and adequate sampling of the relevant construct
important for multiple question construct Ask an expert if the items assess what you want them to assess
external validity
Indicates the extent to which the results of a study can be generalised to other people, conditions, places and time
Mainly concerns the participant and testing situation
Threats to external validity
Poor selection of participants
Participant selection involves the correct sampling of participants and the assignment of participants to treatment conditions
Your sampling will determine the population to which your results will generalise
Pre-test sensitisation
When the presence of a pre-test condition changes the effectiveness of the subsequent treatment
If treatment is repeated without the pre-test, different results occur
Multiple treatment interference
Participants receive an unintended treatment in addition to the intended treatment
statistical validity
How appropriate were the statistical methods that were used
When an experiment actually tests the hypothesis you want it to test
Whether a method actually measures what you intend it to measure
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