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2 results about "Psychological testing" patented technology

Psychological testing is the administration of psychological tests, which are designed to be "an objective and standardized measure of a sample of behavior". The term sample of behavior refers to an individual's performance on tasks that have usually been prescribed beforehand. The samples of behavior that make up a paper-and-pencil test, the most common type of test, are a series of items. Performance on these items produce a test score. A score on a well-constructed test is believed to reflect a psychological construct such as achievement in a school subject, cognitive ability, aptitude, emotional functioning, personality, etc. Differences in test scores are thought to reflect individual differences in the construct the test is supposed to measure. The science behind psychological testing is psychometrics.

An unattended multi-channel psychological and cognitive testing method, device, and electronic equipment

PendingCN122314270AMedicinePsychological testing
This application discloses an unattended multi-channel psychological and cognitive testing method, device, and electronic equipment, relating to the field of psychological testing equipment technology. The test subject can autonomously complete a formal test according to standardized guidelines without questioning by professional testers. Simultaneously, multi-modal physiological data obtained from the test subject's multi-dimensional physiological responses are recorded and analyzed, reducing the limitations of psychological testing and ultimately achieving objective, efficient, and accurate psychological assessment even without questioning by professional testers or when the testers' professional level is limited.
Owner:UNIV OF SCI & TECH OF CHINA

Psychological scale automatic simplification method and system based on word embedding and deep learning

PendingCN122133663ASemantic analysisText processingSemantic vectorPsychological testing
This invention discloses an automatic simplification method and system for psychological scales based on word embedding and deep learning. It primarily employs word embedding technology to semantically vectorize each item and all item texts of the original psychological scale, obtaining item vectors and a set vector of all items. The semantic similarity between each item vector and the set vector is calculated and defined as the semantic discriminant of the corresponding item. A simplified scale is generated by ranking the items according to their semantic discriminant scores. The simplified scale is then administered to the target group, and the item discriminant, reliability, and validity indices are analyzed to complete the validation of the reduced psychological scale. This invention combines semantic modeling techniques from natural language processing with nonlinear modeling from deep neural networks, overcoming the problem that traditional methods cannot consider item-related aspects semantically. It ensures the integrity of the scale's theoretical dimensions and can be widely applied to various scenarios, including the construction of large-scale psychological assessment systems for different groups and the development of intelligent psychological testing tools.
Owner:SICHUAN NORMAL UNIV