Temporal Stability of the Personality Assessment Inventory: Investigating Potential Predictors.

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
ACS Applied Electronic Materials Pub Date : 2024-06-01 Epub Date: 2023-06-22 DOI:10.1177/10731911231182685
Joseph Maffly-Kipp, Leslie C Morey
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引用次数: 0

Abstract

In this study, we explored the temporal stability of the Personality Assessment Inventory (PAI), which has not been comprehensively reexamined since it was first published. Our three specific aims were to determine the utility of PAI indicators of basic protocol validity (inconsistent responses [ICN] and highly unusual/unlikely responses [INF]) in identifying suspect responding; calculate the stability coefficients for each PAI scale and subscale across 3-, 6-, and 9-week spans; and explore whether profile stability across four measurements could be prospectively predicted. We administered the PAI to a sample of undergraduates (N = 579) at four separate timepoints. ICN and INF effectively identified likely attriters and inconsistent responders. All PAI full scales and subscales evidenced good test-retest reliability, with some small exceptions. Finally, all PAI clinical scales were correlated with profile instability although many of these correlations were no longer significant when controlling for mean clinical elevation of the profile. We interpreted these results as evidence for the utility of PAI validity scales, the temporal reliability of the PAI, and the role of psychopathology in response variability over time. We also discussed some preliminary evidence that this variability can be prospectively predicted, suggesting that it in part reflects substantive changes rather than random error variance.

人格评估量表的时间稳定性:调查潜在的预测因素
在本研究中,我们探讨了人格评估量表(PAI)的时间稳定性,该量表自首次发布以来一直未进行过全面的重新研究。我们的三个具体目标是:确定 PAI 基本协议效度指标(不一致反应 [ICN] 和极不寻常/不可能反应 [INF])在识别可疑反应方面的效用;计算每个 PAI 量表和分量表在 3 周、6 周和 9 周时间跨度内的稳定性系数;以及探索是否可以对四次测量的资料稳定性进行前瞻性预测。我们在四个不同的时间点对本科生样本(579 人)进行了 PAI 测评。ICN 和 INF 有效地识别了可能的退出者和不一致的应答者。除少数例外情况外,所有 PAI 全部量表和分量表均显示出良好的重测可靠性。最后,所有 PAI 临床量表都与资料的不稳定性相关,尽管在控制资料的平均临床升高后,许多相关性不再显著。我们将这些结果解释为 PAI 有效性量表的实用性、PAI 的时间可靠性以及精神病理学在随时间变化的反应中的作用的证据。我们还讨论了一些初步证据,这些证据表明这种变异性可以进行前瞻性预测,表明它在一定程度上反映了实质性的变化,而不是随机误差方差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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