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True/false items are used for achievement type tests when there is a clear distinction between the two alternatives, true and false. One of the best criteria for judging the value of a true/false item is whether the correct answer (be it true or false) is unequivocally the right one, the only one, and the correct one.

There are several things to keep in mind when writing true/false items:

  • True/false items are always stated as declarative sentences.
  • The alternative answers can be true-false, right-wrong, yes-no, like-dislike, and so on—as long as they are very clear choices.
  • A good true/false item focuses on one and only one idea, concept, or specific topic. With too many ideas, the test taker can become confused.
  • Double negatives should not be used in true/false questions.
  • Clues to the answer to a true/false item should not be included in the item.
  • A different type of item should be used for more complex types of inquiries that assess higher-order thinking.
  • It is preferable to have equal number of true and false items on the test. This minimizes the role that chance plays.

The Advantages and Disadvantages of True/False Questions

The advantages of multiple-choice items are considerable. First, they are convenient, such that several can be administered in a short amount of time. Second, they are very easy to score. If well written, the answers are either correct or incorrect.

But, as with all items, there are disadvantages as well. First, true/false items place a premium on memorization. It is tough to get beyond the most basic levels of knowledge with true/false items. Second, it is relatively easy to guess correctly; the probability of being right (or wrong) is 50%, and by chance alone, if the test taker selects T or F on a somewhat random basis, the final score will be about 50%. Still, the odds of guessing correctly are much higher than in any other type of traditional item.

True/false test scores can be corrected for guessing (that is the chance outcome of getting 50% correct by guessing alone). This is a useful adjustment to make so that scores more truly reflect those who really do know more versus those who just guess.

Let's propose a scoring system where students get one point for being correct, one point for being incorrect, and nothing for leaving the item blank. So, the formula for correction (or CS, for corrected score) becomes

None

For example, take the example of a 50-item test, where you would expect a score of 25 by chance alone (.5 × 50 = 25). Bruce gets 35 correct on a 50-item test, and Bill gets 25 correct. How can we adjust these scores so that Bruce's performance (which is way above chance) is recognized?

Correcting the scores, it turns out that Bruce's new one is 35 − 15 = 20, and Bill's is 25 − 25 = 0. Bill is clearly “punished” for guessing.

Table 1 Corrected Scores on 50-Item Test
# Right # Wrong Corrected Score
50 0 50
45 5 40
40 10 30
35 15 20
30 20 10
25 (chance) 25 (chance) 0
20 30 –10
15 35 –20
10 40 –30
5 45 –40
0 50 –50

Table 1 shows the number correct on a 50-item test, the number wrong, and the corrected score.

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