Adaptive Testing Technologies is led by Professor Robert Gibbons, Director of the Center for Health Statistics at the University of Chicago. Adaptive Testing Technologies ("ATT") is a leader in the design, testing and implementation of large scale adaptive testing systems for mental health assessment. ATT's rollout of the CAT-DI (Computerized Adaptive Test - Depresssion Inventory) was featured in November 2012 edition of JAMA Psychiatry (formerly the Archives of General Psychiatry) (Click here for article). In addition to the CAT for depression, CATs are now available for anxiety and mania/hypomania.
Mental health measurement has been based primarily on subjective judgment and classical test theory. Typically, impairment level is determined by a total score, requiring that all respondents be administered the same items. An alternative to full scale administration is adaptive testing in which different individuals may receive different scale items that are targeted to their specific impairment level. Within adaptive testing, individuals’ initial item responses are used to determine a provisional estimate of their standing on the measured trait (e.g., depression, anxiety) to be used for subsequent item selection. This form of testing has recently emerged in mental health research. Based on item response theory (IRT) procedures, estimates of items (e.g., difficulty, discrimination) and individuals (e.g., severity of depression) can be obtained to more efficiently identify suitable item subsets for each individual. This approach to testing is referred to as computerized adaptive testing (CAT) and is immediately applicable to mental health measurement problems. We have developed a CAT depression inventory (CAT-DI) that can be administered adaptively, such that each individual responds only to those items that are most appropriate to assessing his/her level of depression. MORE
What is CAT-MH?
"Adaptive Testing Technologies ("ATT") is a leader in the design, testing and implementation of large scale mental health adaptive testing systems."
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