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坎特背景干扰程序(BIP):人口统计学变量对诊断的影响。

The Canter Background Interference Procedure (BIP): effects of demographic variables on diagnosis.

作者信息

West P A, Hill S Y, Robins L N

出版信息

J Clin Psychol. 1977 Jul;33(3):765-71. doi: 10.1002/1097-4679(197707)33:3<765::aid-jclp2270330336>3.0.co;2-l.

DOI:10.1002/1097-4679(197707)33:3<765::aid-jclp2270330336>3.0.co;2-l
PMID:893711
Abstract

This paper reports a positive association between demographic variables and Canter BIP diagnostic classification. Ss are 209 middle-aged men and include psychiatric and medical patients and non-patients. To evaluate the joint effects of the demographic variables, a discriminate analysis was performed on the total sample. Race and educational level alone predicted BIP diagnosis in 67% of the cases. While none of the demographic variables was related significantly to BIP diagnosis when a discriminate analysis was performed on whites alone, age and educational level were related significantly to BIP diagnosis when a discriminate analysis was performed on blacks alone.

摘要

本文报告了人口统计学变量与坎特BIP诊断分类之间的正相关关系。研究对象为209名中年男性,包括精神科患者、内科患者和非患者。为评估人口统计学变量的联合效应,对整个样本进行了判别分析。仅种族和教育水平就能在67%的病例中预测BIP诊断。当仅对白人进行判别分析时,没有一个人口统计学变量与BIP诊断显著相关;而当仅对黑人进行判别分析时,年龄和教育水平与BIP诊断显著相关。

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