The parameters of sensitivity and specificity are used for assessing -

Validity: Refers to what extent the test measures which it purports to measure (adequacy of measurement) Validity has 2 components: – Sensitivity – Specificity Types of Validity: – Conclusion validity: Defines if there is a relationship between 2 variables – Internal validity: Assuming relationship between 2 variables, defines if it is causal 1. Is free of bias 2. Valid conclusions can be drawn for individuals in a sample – Construct validity: Assuming causal relationship between 2 variables, defines if our theory is best to our constructs – External validity: Assuming causal relationship between 2 variables, defines if our theory can be generalized to the broader population – Concurrent validity: Refers to the degree of correlation with other measures of the same construct measured at the same time – Face (Logical) validity: Relevance of a measurement appear obvious – Content validity: Measurement of all variable components – Consensual validity: If no. of experts agree to a parameter Criterion validity: If compared with a reference or gold standard. 1. Is best measure of validity 2. Usually expressed as sensitivity & specificity – Discriminant validity: If not showing strong correlation between 2 variables.