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Infit statistics are information-weighted fit statistics that give relatively more weight to the performances of persons who are well targeted to the item difficulty calibrations.
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To establish (1) the intrarater and interrater reliability of Four Square Step Test (FSST) times in persons with chronic stroke; (2) the concurrent validity of FSST times with standing balance and functional mobility measures; and (3) the FSST cutoff score for distinguishing the differences in dynamic balance performance of persons with chronic stroke from healthy control adults.
Enhanced discrimination, detection, and memory for visually simple patterns in autism may account for the superior performance of persons with autism on visuo-spatial tasks that heavily involve pattern recognition, either in the form of recognizing and memorizing landmarks or in detecting the similarity between map and landscape features.
Scientifically valid evidence regarding the performance of persons with an MPK in everyday life is limited.
The infit statistic gives relatively more weight to the performance of persons closer to the item value and can minimize the influence of outlying scores [ 14].
Psychomotor studies have revealed deficits in the motor performance of persons with major depression similar to some of the motor disturbances observed in Parkinson's disease [ 14, 15].
In our previous studies on remediation of WCST performance of persons with schizophrenia we hypothesised that the improvement could be attained through a cognitive strategy that bounds schizophrenic patients to use a conceptually driven processing.
The effects have been predominantly investigated from the perspective of the body (ICF body functions), and so, objective information and scientifically valid evidence regarding the performance of persons with an MPK in everyday life is still fairly limited.
AD: Alzheimer's Disease; ADL: Activities of Daily Living; ELL: Errorless Learning; MMSE: Mini Mental State Examination; TEL: Trial and Error Learning; REDALI-DEM: Relearning methods on Daily Living task performance of persons with Dementia The authors declare that they have no competing interests.
The experimental results have indicated that the proposed LEDF improves the performance of person re-identification in camera networks.
The performance of person re-identification in sensor networks is closely related to many other applications, such as person retrieval, behavior analysis, long-term person tracking, and so on [5].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com