1. This validity type compares the results of a test with an external standard or benchmark.

(a)  

2. The general term for the accuracy of an instrument in measuring what it intends to.

(a)  

3. A reliability test where results are compared between two halves of the test items.

(a)  

4. In Pearson-r formula, this symbol represents the raw score of the first group.

(a)  

5. A method of determining if all questions in a test are consistent with one another.

(a)  

6. When the size of letters, spacing, or layout is considered to avoid distracting respondents, this type of validity is being checked.

(a)  

7. The formula often used in the split-half method to check consistency.

(a)  

8. This validity is concerned with whether an instrument actually measures the theoretical idea it is supposed to.

(a)  

9. In reliability computation, this refers to the reliability of the entire test.

(a)  

10. The ability of a tool to consistently yield the same results when used multiple times.

(a)  

11. This approach ensures that questions in a survey or test measure the same single concept.

(a)  

12. The general term for the stability and repeatability of results obtained by a research instrument.

(a)  

13. The validity test that involves asking experts to examine the questions to ensure they cover the needed information.

(a)  

14. In reliability computation, this refers to the reliability of the half-test.

(a)  

15. The type of validity that focuses on the relationship between test results and theoretical expectations.

(a)  

16. A validity type also referred to as logical validity.

(a)  

17. In Pearson-r formula, this symbol represents the raw score of the second group.

(a)  

19. This type of validity checks whether the instrument appears logical and appropriate at first glance.

(a)  

20. A reliability test where a questionnaire is split into two parts to check consistency.

(a)