![]() Moreover, if a test is unreliable, it cannot be valid. Thus, the high reliability of the test does not guarantee its accuracy. However, soon the person discovers that his scales are broken and do not show the weight accurately. For example, if a person weighs himself every morning and every day, his results are identical or have a slight difference, indicating the measurements’ reliability. However, in this case, the high reliability of the results does not guarantee that the candidate will successfully cope with his job responsibilities.Īnother example of reliable but invalid results would be weight measurements. In this case, we can talk about the test’s high-reliability level. The candidate took the test several times, and the results differed slightly. For example, a candidate must pass a teamwork test when applying for a new job. ![]() If the indicators are reliable, the researcher will get the same results by conducting the test in the same conditions and in the same way. The reliability of the results characterizes their constancy.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |