Computer- Based Assessment
Computer- Based Assessment
Since the 1950s, academic and researchers have examined artificial intelligence and the use of computers for assistance with, or automation of, data collection (Schatz & Browndyke, 2002). In the ensuing 60+ years, considerable technological growth has occurred. Perhaps most influential in the field of clinical psychology was the introduction of the personal computer in the 1980s, which allowed individuals to have computing devices in the home and/ or office. Over the past 30 years, the percentage of U.S. households with a computer has dramatically increased, from 8.2% in 1984, to 42% in 1998, to 52% in 2000, to 84% in 2013 (File & Ryan, 2014; Newburger, 2001). As of 2014, approximately 50% of households have a tablet device (such as an iPad) or an e-reader (such as a Kindle or Nook) and approximately 28% of adults age 18 and older have read an e-book in the past year (up from 17% in 2011) (Zickuhr & Rainie, 2014). However, despite widespread ownership of computing devices, in clinical practice, use of technology is not as commonplace. While the vast majority of clinical psychologists have used e-mail or Internet searches in their clinical practice, in a 2009 survey, only 47% had used computerized test administration software, 60% had used a computerized test-scoring software, and 54% had used a computerized test interpretation software (McMinn, Bearse, Heyne, Smithberg, & Erb, 2011), and only 20% (test administration), 29% (test scoring), and 22% (test interpretation) had used these technologies “fairly often” or “very often.” Even as recently as 2009, in a report of an American Psychological Association (APA) Presidential Task Force on Technology, discussion of the role of technology in the future of psychology practice was limited to the use of electronic health records (in the context of documenting service delivery and reimbursement), expanding ways for streamlining assessments and service delivery, and training psychologists to use and integrate technologies (APA, 2009).
Keywords: Autism Spectrum Rating Scales (ASRS), Battery for Health Improvement, Brief Symptom Inventory (BSI), CANTAB battery, CNS Vital Signs, Eating Disorder Inventory (EDI-3), Halstead Category Test, King-Devick test, NEO Personality Inventory-3 (NEO-PI-3), Personality Assessment Inventory (PAI), Toolbox Cognition Battery (NIH), timing accuracy
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