Interpreting a validity coefficient (Chapter 9)
Squared correlations and “variance explained”
Guidelines or Norms for a field
Statistical significance
Estimating practical effects
BESD
Taylor-Russel Tables
Utility analysis
Sensitivity/Specificy
How much of the variance in the criterion can be explained by a test
Limitations
In some cases it is technically incorrect to square the correlation
Gets interpreted on a quadratic scale while being measured on a normal scale
Limitation
Displays the number of successful and unsuccessful predictors made based on a correlation
Assumed equality of successes on a test and on criterion
Present success rate for a given baserate, validation coefficient and test rate
Whether the gains of a measurement outweight it's costs
Sensitivity: identify people with disorders
Specificy: identify people who do not have a disorder
Inreliable correlations might occur due to small sample sizes
The product of the sample size and the size of the validity coefficient in the sample provides confidence, that a test is correlated with a criterion in the population
validity coefficients get interpreted with regard to a particular field -> information about the existing research in that field is helpful
A=D
B=C