An Information-Processing-Based Conceptual Framework of the Effects of Unproctored Internet-Based Testing Devices on Scores on Employment-Related Assessments and Tests
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引用次数: 29
Abstract
ABSTRACT The widespread use of unproctored Internet-based testing (UIT) in employment-related assessments has resulted in a burgeoning use of mobile devices to complete these assessments. Coupled with this is a concomitant interest in UIT-device-type effects, specifically, differences or lack thereof between assessments completed on “mobile” versus “nonmobile” devices. However, there is limited theoretical or conceptual work that seeks to explain the observed effects of UIT device type on test scores. Consequently, this article first presents a review of the extant empirical literature and then, on the basis of that, presents a framework—the structural characteristics/information processing framework—for psychologically conceptualizing the effect of UIT device types on test and assessment scores. The framework is used to explain previous findings and advance testable propositions for future research.
期刊介绍:
Human Performance publishes research investigating the nature and role of performance in the workplace and in organizational settings and offers a rich variety of information going beyond the study of traditional job behavior. Dedicated to presenting original research, theory, and measurement methods, the journal investigates individual, team, and firm level performance factors that influence work and organizational effectiveness. Human Performance is a respected forum for behavioral scientists interested in variables that motivate and promote high-level human performance, particularly in organizational and occupational settings. The journal seeks to identify and stimulate relevant research, communication, and theory concerning human capabilities and effectiveness. It serves as a valuable intellectual link between such disciplines as industrial-organizational psychology, individual differences, work physiology, organizational behavior, human resource management, and human factors.