Item position effect (IPE) refers to situations where an item performs differently when it is administered in different positions on a test. The majority of previous research studies have focused on investigating IPE under linear testing. There is a lack of IPE research under adaptive testing. In addition, the existence of IPE might violate Item…

In computerized adaptive testing, overexposure of items in the bank is a serious problem and might result in item compromise. We develop an item selection algorithm that utilizes the entire bank well and reduces the overexposure of items. The algorithm is based on collaborative filtering and selects an item in two stages. In the first stage, a set…

Computerized adaptive testing (CAT) has gained deserved popularity in the administration of educational and professional assessments, but continues to face test security challenges. To ensure sustained quality assurance and testing integrity, it is imperative to establish and maintain multiple stable item pools that are consistent in terms of…

Adaptive tests are more efficient than fixed-length tests through the use of item response theory; adaptive tests also present students questions that are tailored to their proficiency level. Although the adaptive algorithm is straightforward, developing a multidimensional computer adaptive test (MCAT) measure is complex. Evidence-centered design…

The goal in personalized assessment is to best fit the needs of each individual test taker, given the assessment purposes. Design-in-Real-Time (DIRTy) assessment reflects the progressive evolution in testing from a single test, to an adaptive test, to an adaptive assessment "system." In this article, we lay the foundation for DIRTy…

A multistage adaptive testing (MST) design was implemented for the Programme for the International Assessment of Adult Competencies (PIAAC) starting in 2012 for about 40 countries and has been implemented for the 2018 cycle of the Programme for International Student Assessment (PISA) for more than 80 countries. Using examples from PISA and PIAAC,…

The alignment between a test and the content domain it measures represents key evidence for the validation of test score inferences. Although procedures have been developed for evaluating the content alignment of linear tests, these procedures are not readily applicable to computerized adaptive tests (CATs), which require large item pools and do…

This article addresses the issue of how to detect item preknowledge using item response time data in two computer-based large-scale licensure examinations. Item preknowledge is indicated by an unexpected short response time and a correct response. Two samples were used for detecting item preknowledge for each examination. The first sample was from…

Discusses the potential positive and negative effects computer-based testing could have on validity, reviews the literature on validation perspectives in computer-based testing, and suggests ways to evaluate the contributions of computer-based testing to more valid measurement practices. (SLD)

Some cautions are sounded for converting a linearly administered test to an adaptive format. Four areas are identified in which practices broadly used in traditionally constructed tests can have adverse effects if thoughtlessly adopted when a test is administered in an adaptive mode. (SLD)

Application of computer-assisted testing (CAT) to measurement in the Portland (Oregon) Public Schools is described. Focus is on MicroCAT's developmental subsystem, which allows creation of items and test design specifications. Changes in CAT procedures allowing MicroCAT to function in existing testing systems and uses/limitations of MicroCAT…

The utility of item response theory (IRT) models in computerized adaptive tests is considered. Measurement questions that have been answered using IRT, and those that might be overlooked because of IRT, are reviewed. Areas in which fuller use of IRT could improve adaptive testing practices are identified. (SLD)

In providing an alternative view to the previous article by Ward (TM 508 880), the author notes problems associated with adaptive testing, diagnostic testing, testing embedded in instruction, and testing through simulations. (BW)

Some of the benefits available from using computers to administer the kinds of tests that are familiar in educational settings are reviewed. Four applications that represent current or near-term enhancements of assessment are discussed: computerized adaptive testing, diagnostic testing, test preparation, and administration of simulations of…

The development of a hypothetical testing program designed to provide optimum information about student achievement is chronicled. Computer adaptive testing and performance testing are postulated as part of the program. What optimum information really means is discussed. Optimum is only optimal when theory and application are balanced. (SLD)