Abstract
Theories of intelligence have advanced significantly over the last 100 years, however we still complete cognitive ability tests much the same way as we always have. This thesis investigates newly developed items that measure four cognitive abilities, as defined by Cattell-Horn-Carroll (CHC) theory, known to be important for learning and how they can be utilised in a Computer Adaptive Test called the “CHC-CAT”. Such a test can be automated and only administers items to examinees that are required, in order to understand their ability. This is unlike conventional tests that administer all items in a linear fashion. Efficiencies of over 50% were obtained however further research is required to further increase reliability of the items.
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