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Master or fail? How does CCT accurately classify candidates? What is the secret behind it?
With the advancement of technology, traditional examination methods are gradually being replaced by digital examinations. Among them, Computerized Classification Test (CCT) has become a popular choice for exams nowadays. This test can not only effectively assess candidates' abilities, but also quickly classify candidates based on their performance. How is this process achieved?
The operating mechanism of CCT
The operation mode of CCT is similar to that of Computer Adaptive Test (CAT). Candidates will receive questions one by one during the test. When the candidate answers a question, the computer immediately scores the question and determines whether it can be classified based on the candidate's answer. If the candidate's performance has not yet met the classification criteria, the next question will continue until the classification criteria are met or the test meets other end conditions.
This continuous interaction not only improves the efficiency of the test, but also reduces the anxiety of the test taker, allowing the test taker to perform at their best in a more relaxed environment.
Psychometric model
The design of CCT relies on two major psychometric models: classical test theory (CTT) and item response theory (IRT). The former is simpler and more effective for small test projects because it requires a smaller number of samples. However, most CCTs will choose to use IRT because the theory can provide greater accuracy, and the cost of designing a CCT will often make large testing facilities more inclined to use IRT.
Starting point for the quiz
CCT must set a clear starting point in order to select appropriate topics. This starting point is usually 0.0, located at the center of the distribution. If a candidate has taken the same test before, their last score can also be used as a basis for question selection.
Topic selection method
The question selection in CCT is based on the examinee's current ability, rather than the fixed set of questions in traditional testing methods. The methods of selecting topics can usually be divided into two types: selecting based on scores and selecting based on estimation.
The method based on dividing scores will maximize the amount of information in the question, while the method based on estimation will maximize the amount of information in the question based on the latest estimate of the examinee's ability. Both have their own advantages and disadvantages.
End criteria
There are three main ending criteria commonly used in CCT, including Bayesian decision theory, confidence interval and sequence probability ratio test. These criteria provide the flexibility to measure a candidate's ability and determine when to end the test and give a classification result.
Conclusion
The Computerized Classification Test (CCT) not only improves the test experience of candidates, but also refers to the latest psychometric theory to achieve accurate classification. So, in the face of ever-evolving testing technology, how do you think we can better assess a candidate’s true ability?
