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首页> 外文期刊>Journal of Personality Assessment >Development and Initial Validation of a Scale for Detecting Inconsistent Responding on the Personality Assessment Inventory-Short Form
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Development and Initial Validation of a Scale for Detecting Inconsistent Responding on the Personality Assessment Inventory-Short Form

机译:人格评估量表-简表的反应不一致量表的开发和初步验证

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摘要

The goal of this investigation was the development of an Inconsistency scale (ICN-SF) for the Personality Assessment Inventory-Short Form (PAI-SF). In Study 1, 503 inpatient profiles were randomly assigned to a derivation or cross-validation sample. Ten correlated item pairs were identified using the derivation sample and placed on the ICN-SF. Psychometric properties of the ICN-SF total scores were comparable in the derivation and cross-validation samples. Total ICN-SF scores in both samples were significantly lower than scores obtained from computer-generated random samples. Diagnostic efficiency statistics are reported using multiple cut-off scores at various base rate estimates. ICN-SF scores greater than 8 reasonably balanced sensitivity and specificity rates. This cutoff correctly classified 92% of the random protocols and inaccurately classified 9% of the patient protocols in Study 1. In Study 2, PAI-SF scores from 627 forensic and civil inpatients produced similar results, effectively identifying cases with elevated scores on the full-form Inconsistency scale. Overall the results of both studies suggest that the ICN-SF can aid examiners in assessing for inconsistent responding.View full textDownload full textRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/00223891.2012.684117
机译:这项调查的目的是为人格评估库存短表(PAI-SF)制定不一致量表(ICN-SF)。在研究1中,将503位住院病人资料随机分配给派生或交叉验证样本。使用派生样本识别了十个相关项目对,并将其放置在ICN-SF上。在派生和交叉验证样本中,ICN-SF总分的心理计量学特性相当。两个样本中的ICN-SF总得分均明显低于计算机生成的随机样本的得分。诊断效率统计数据是在各种基本费率估算值下使用多个截止得分来报告的。 ICN-SF得分大于8,合理地平衡了敏感性和特异性。在研究1中,该临界值正确地对92%的随机方案进行了分类,对9%的患者方案进行了不正确的分类。在研究2中,来自627名法医和民用住院患者的PAI-SF评分产生了相似的结果,从而有效地识别了总体评分升高的病例形式不一致量表。两项研究的总体结果都表明,ICN-SF可以帮助审查员评估不一致的回答。查看全文下载全文Delicious,linkedin,facebook,stumbleupon,digg,google,更多”,发布号:“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/00223891.2012.684117

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