No

The basic idea of a Computerized Adaptive Test (CAT) is to have a computer select the items that seem most appropriate for a particular respondent (given our knowledge so far) and to score the responses in a way that allows comparison with respondents answering a different set of items (Wainer et al., 2000). This results in a quicker and more accurate assessment. The logic of a typical CAT is shown in Fig 1. The test begins with an initial estimate of the respondent's score (Step 1). This could be based on the response to an initial global question that is asked of all respondents, or on previous information about the respondent. A global question should be informative for the average person and have appropriate content for a first item. The initial score is used to select the most informative item, which is administered at Step 2. The answer is used at Step 3 to re-estimate the score. At Step 4, a respondent-specific confidence interval (CI) is computed for the score estimate. At Step 5, the computer determines whether any stopping rules have been fulfilled. If the stopping rule is test-precision the computer evaluates whether the CI is within specified limits. Once the standard is met, the computer either begins assessing the next concept or ends the battery. Otherwise, step 2 is repeated for the next most informative item