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Interpreting a validity coefficient (Chapter 9) (Estimating practical…
Interpreting a validity coefficient (Chapter 9)
Squared correlations and “variance explained”
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
Guidelines or Norms for a field
validity coefficients get interpreted with regard to a particular field -> information about the existing research in that field is helpful
Statistical significance
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
Estimating practical effects
BESD
Limitation
Assumed equality of successes on a test and on criterion
Displays the number of successful and unsuccessful predictors made based on a correlation
A=D
B=C
Taylor-Russel Tables
Present success rate for a given baserate, validation coefficient and test rate
Utility analysis
Whether the gains of a measurement outweight it's costs
Sensitivity/Specificy
Sensitivity: identify people with disorders
Specificy: identify people who do not have a disorder