Hopwood Christopher J, Talbert Christy A, Morey Leslie C, Rogers Richard
Texas A&M University, Texas, USA.
J Clin Psychol. 2008 Mar;64(3):338-43. doi: 10.1002/jclp.20439.
The usefulness of multiscale inventories depends on their ability to evaluate response styles effectively, such as fake-bad (feigning) and fake-good (defensiveness) profiles. The current investigation combined validity data across clinical, nonclinical, and simulating samples to evaluate the usefulness of the Personality Assessment Inventory (PAI) negative impression (NIM)-positive impression (PIM) difference score to detect simulated profiles. In general, its effect sizes were not appreciably different from those afforded by NIM and PIM alone. Likewise, its incremental contributions in logistic regression were minimal. These results do not support the routine use of a NIM-PIM difference score in detecting response styles with the PAI.
多尺度量表的效用取决于它们有效评估反应方式的能力,比如假装不好(伪装)和假装良好(防御性)的特征。当前的研究结合了临床、非临床和模拟样本的效度数据,以评估人格评估量表(PAI)的负面印象(NIM)-正面印象(PIM)差异分数在检测模拟特征方面的效用。总体而言,其效应量与单独使用NIM和PIM时的效应量没有明显差异。同样,它在逻辑回归中的增量贡献也很小。这些结果不支持在使用PAI检测反应方式时常规使用NIM-PIM差异分数。