Monday, October 28, 2013

Characteristics of a Good Test: Reliability


       I.            INTRODUCTION
In conducting language test, it should be followed by a good quality of the test itself. There are two characteristics of good test: validity and reliability. After discussing about validity test before, here is the summary of reliability test.

    II.            SUMMARY OF CONTENT
Reliability refers to the consistency of a measure. A test is considered reliable if we get the same result repeatedly. For example, if a test is designed to measure a trait (such as introversion), then each time the test is administered to a subject, the results should be approximately the same. Unfortunately, it is impossible to calculate reliability exactly, but there several different ways to estimate reliability.

Reliability does not imply validity. That is, a reliable measure is measuring something consistently, but you may not be measuring what you want to be measuring. For example, while there are many reliable tests of specific abilities, not all of them would be valid for predicting, say, job performance. In terms of accuracy and precision, reliability is analogous to precision, while validity is analogous to accuracy.

An example often used to illustrate the difference between reliability and validity in the experimental sciences involves a common bathroom scale. If someone who is 200 pounds steps on a scale 10 times and gets readings of 15, 250, 95, 140, etc., the scale is not reliable. If the scale consistently reads "150", then it is reliable, but not valid. If it reads "200" each time, then the measurement is both reliable and valid. This is what is meant by the statement, "Reliability is necessary but not sufficient for validity."

You learned in the Theory of Reliability that it's not possible to calculate reliability exactly. Instead, we have to estimate reliability, and this is always an imperfect endeavor. Here, I want to introduce the major reliability estimators and talk about their strengths and weaknesses. There are four general classes of reliability estimates, each of which estimates reliability in a different way. They are:
1.      Test-Retest Reliability
To gauge test-retest reliability, the test is administered twice at two different points in time. This kind of reliability is used to assess the consistency of a test across time. This type of reliability assumes that there will be no change in the quality or construct being measured. Test-retest reliability is best used for things that are stable over time, such as intelligence. Generally, reliability will be higher when little time has passed between tests.

2.      Inter-rater Reliability
This type of reliability is assessed by having two or more independent judges score the test. The scores are then compared to determine the consistency of the raters’ estimates. One way to test inter-rater reliability is to have each rater assign each test item a score. For example, each rater might score items on a scale from 1 to 10. Next, you would calculate the correlation between the two ratings to determine the level of inter-rater reliability. Another means of testing inter-rater reliability is to have raters determine which category each observations falls into and then calculate the percentage of agreement between the raters. So, if the raters agree 8 out of 10 times, the test has an 80% inter-rater reliability rate.

3.      Parallel-Forms Reliability
Parallel-forms reliability is gauged by comparing to different tests that were created using the same content. This is accomplished by creating a large pool of test items that measure the same quality and then randomly dividing the items into two separate tests. The two tests should then be administered to the same subjects at the same time.

4.      Internal Consistency Reliability
This form of reliability is used to judge the consistency of results across items on the same test. Essentially, you are comparing test items that measure the same construct to determine the tests internal consistency. When you see a question that seems very similar to another test question, it may indicate that the two questions are being used to gauge reliability. Because the two questions are similar and designed to measure the same thing, the test taker should answer both questions the same, which would indicate that the test has internal consistency.

 III.            CONCLUSION
Much has been written about characteristic of language tests. Discussions have centered on the tests which have reliability characteristics. Reliability becomes important part of constructing a good test. Those are the conclusion of the summary related to the topic.

REFERENCES
Hughes, Arthur. (1983). Testing for Language Teachers. UK: Cambridge University Press.

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