Criterion-Oriented Validation: Crocker and Algina Method for Test Validity
Criterion-Oriented Validation According to Crocker and Algina
TMA 10: Crocker and Algina: Study D. Criterion-oriented validation is carried out through representative samples.
Steps for Criterion-Oriented Validation
- Identify the appropriate criterion.
- Identify the test and the criterion to be scored.
- Administer the test.
- Obtain the measure of the external criterion.
- Determine the intensity of the relationship between the test scores and the criterion.
Typical Estimation Failure
Typical failure NO ESTIMATE: Allows major scores in the prognosis of statistics to be used through our knowledge of statistical inference.
External Criterion
External criterion: Interest
- A variable or characteristic of real interest that the test aims to predict or infer.
- The need to establish appropriate criteria.
- Decision making: clinical diagnosis and assignment of personnel selection to treatment programs.
Some external criteria: Intelligence and aptitude tests (academic performance), clinical diagnostic tests, specific aptitudes, and tests on contrasted groups for validation.
Steps in Detail
- Identify the relevant criterion and one method, sufficiently representative.
- Identify the population sample to be used in the test.
- Administer the criterion.
- Score the test.
- Obtain the measure of the relationship between the test and the criterion: correlation coefficient (Pearson, Spearman, etc.), called the validity coefficient.
Validity Coefficient
- It varies between -1 and +1 (a value of 0 indicates absence of relationship).
- It does not imply a causal relationship.
- A change in the length of the test or criterion causes a change in the validity coefficient.
- A change in the length of the test or criterion causes a change in validity.
- A change in the variability of the test or criterion scores causes a change in the validity coefficient.
Factors Affecting Validity
Factors affecting validity: Reliability of the test and criterion, and the length of the test.
Attenuation Formula (Spearman)
Case I: Validity coefficient of the test when reliabilities of the criterion and test are perfect.
Case II: Validity coefficient when the reliability of the test is perfect.
Case III: Validity coefficient when the criterion is perfectly reliable.
Case IV: Validity coefficient when the reliability of the criterion is greater.
Case V: Validity coefficient of the test where the reliability is greater.
General Case IV: Validity coefficient when the reliability of the test and criterion is greater.
K: Number of times the original length of the test is increased.
Choice of Statistical Technique
| Predictor Variable (Test) | Dependent Variable (Criterion) | Analysis Technique |
|---|---|---|
| Univariate / Multivariate, Continuous | Continuous | Single / Multiple Regression |
| Continuous | Dichotomous | Logistic Regression |
| Dichotomous | Dichotomous | Logit and Loglinear Models |