When a test yields consistent results every time it is said to be?

When a test yields consistent results every time it is said to be?

*Reliability – the extent to which a test yields consistent results, as assessed by the consistency of scores on two halves of the test, on alternate forms of the test, or on retesting.

What is defined as the extent to which a test yields a consistent?

Reliability is the extent to which a test yields consistent results (on two halves of the test, or when people are retested).

Is the degree to which a test yields consistent measurement over time?

Reliability is the degree to which an assessment tool produces stable and consistent results. Test-retest reliability is a measure of reliability obtained by administering the same test twice over a period of time to a group of individuals.

When test reliability is high an assessment yields consistent results?

If the results of the two tests are highly consistent, we can conclude that the measurements are stable and reliability is deemed high. Reliability is equal to the correlation of the two test scores taken among the same respondents at different times. There are some problems with the test-retest method.

Which is the best definition of construct validity?

Construct validity refers to whether a scale measures or correlates with the theorized psychological scientific construct (e.g., “fluid intelligence”) that it purports to measure. In other words, it is the extent to which what was to be measured was actually measured.

Is it possible to have high reliability but low validity?

It is possible to have a measure that has high reliability but low validity – one that is consistent in getting bad information or consistent in missing the mark. *It is also possible to have one that has low reliability and low validity – inconsistent and not on target.

What is the purpose of incremental validity in research?

In other words, incremental validity seeks to answer if the new test adds much information that might be obtained with simpler, already existing methods. The extent to which the experimental manipulation or intervention, rather than extraneous influences, can account for the results, changes, or group differences.