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A series of flashcards covering key concepts related to measurement validity, including definitions and types of validity.
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Validity
Validity refers to the extent to which an instrument truly measures what it effectively intends to measure.
Reliability
Reliability is a fundamental prerequisite for validity, meaning that a test or instrument cannot be considered valid if it is unreliable.
Face Validity
Face Validity describes the superficial degree to which an instrument merely appears to test what it is supposed to measure; this characteristic is inherently subjective and thus scientifically weak.
Content Validity
Content Validity assesses how thoroughly measurements represent the concept of interest, ensuring they do not encompass unrelated concepts. This assessment is typically evaluated by expert review.
Criterion-related Validity
Criterion-related Validity measures the extent to which an instrument can successfully substitute for an established gold standard.
Construct Validity
Construct Validity pertains to the comprehensive measurement of the dimensions and the underlying theoretical foundations of an abstract construct.
Sensitivity
Sensitivity represents a test's ability to accurately obtain a positive result when the target condition is genuinely present.
Specificity
Specificity refers to a test's ability to accurately obtain a negative result when the target condition is genuinely absent.
Prevalence
Prevalence quantifies the total number of existing cases of a specific condition within a defined population at any single point in time.
MCID
MCID, which stands for Minimum Clinically Important Difference, serves as a crucial reflection of a test's validity, particularly based on external criteria.
SnNOUT
SnNOUT is an acronym signifying that if a sensitive test yields a negative result, it effectively rules the condition OUT.
SpPIN
SpPIN is an acronym signifying that if a specific test yields a positive result, it effectively rules the condition IN.
Threats to Validity
Threats to Validity encompass various factors that can potentially compromise the overall validity of a study, such as inappropriate statistical methodologies or biases arising from sampling.