Answer :
Classical test theory holds that differences in test scores are due to two factors: true score and error score. True score is the amount of a trait or ability that a person has, while error score is the amount of variance in the test score due to factors such as measurement error and random fluctuation.
The repeated use of the same test can result in different scores due to the presence of error score, which is caused by measurement and random error.
Classical test theory explains the differences in test scores due to the presence of two factors: true score and error score. True score is the amount of a trait or ability that a person has, while error score is the amount of variance in the test score due to factors such as measurement error and random fluctuation. The repeated use of the same test can result in different scores due to the presence of error score, which can be caused by minor changes in the test environment, the test taker's state of mind, or random fluctuations in the test results. This means that while the true score may remain the same, the actual test score may vary due to the presence of error score.
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