Nội dung được dịch bởi AI, chỉ mang tính chất tham khảo
Quản lý và Giải thích Nâng cao Các Bài Kiểm Tra Độ Tin Cậy Đa Dạng
Tóm tắt
Các tổ chức chuyên nghiệp khuyến nghị việc bao gồm nhiều bài kiểm tra hiệu suất (PVTs) và bài kiểm tra độ tin cậy triệu chứng (SVTs) (Bush et al., Archives of Clinical Neuropsychology, 20, 419–426, 2005; Heilbronner et al., The Clinical Neuropsychologist, 23(7), 1093–1129, 2009). Tuy nhiên, cho đến nay, các khuyến nghị dựa trên thực nghiệm cho việc giải thích các chỉ báo độ tin cậy đa dạng chủ yếu còn thiếu, và tính tổng quát của dữ liệu tâm lý học có sẵn là đáng ngờ trong thực hành lâm sàng. Mục tiêu hiện tại là cung cấp dữ liệu tỷ lệ cơ sở và các khuyến nghị cho việc giải thích các chỉ báo độ tin cậy đa dạng, giả định rằng có sự tương quan khác nhau giữa mỗi PVT ở nhiều mức độ độ nhạy và độ đặc hiệu khác nhau. Như một bước khởi đầu, phương pháp Monte Carlo đã được xác thực trên 24 chỉ báo độ tin cậy được tích hợp và độc lập trong bảy mẫu lâm sàng không tìm kiếm bồi thường hiện có. Các mẫu bao gồm bệnh nhân mắc các rối loạn tâm thần phân liệt và không phân liệt, cũng như các tình trạng thần kinh khác nhau. Các chiến lược được phác thảo cho việc tích hợp lâm sàng của dữ liệu tỷ lệ cơ sở nhằm nâng cao quản lý và giải thích các chỉ báo độ tin cậy đa dạng. Dựa trên các phát hiện hiện tại, các khuyến nghị được cung cấp nhằm giảm tỷ lệ dương tính giả liên quan đến việc đưa ra quyết định về hiệu suất kiểm tra không đáng tin cậy.
Từ khóa
#Bài kiểm tra độ tin cậy #Bài kiểm tra hiệu suất #Tâm lý học lâm sàng #Tăng cường độ chính xác #Giảm tỷ lệ dương tính giảTài liệu tham khảo
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