Pekala Ronald J, Baglio Francesca, Cabinio Monia, Lipari Susanna, Baglio Gisella, Mendozzi Laura, Cecconi Pietro, Pugnetti Luigi, Sciaky Riccardo
a Private Practice , West Chester , Pennsyvania , USA.
b Coatesville Veterans Administration Medical Center , Coatesville , Pennsylvania , USA.
Int J Clin Exp Hypn. 2017 Apr-Jun;65(2):210-240. doi: 10.1080/00207144.2017.1276365.
Previous research using stepwise regression analyses found self-reported hypnotic depth (srHD) to be a function of suggestibility, trance state effects, and expectancy. This study sought to replicate and expand that research using a general state measure of hypnotic responsivity, the Phenomenology of Consciousness Inventory: Hypnotic Assessment Procedure (PCI-HAP). Ninety-five participants completed an Italian translation of the PCI-HAP, with srHD scores predicted from the PCI-HAP assessment items. The regression analysis replicated the previous research results. Additionally, stepwise regression analyses were able to predict the srHD score equally well using only the PCI dimension scores. These results not only replicated prior research but suggest how this methodology to assess hypnotic responsivity, when combined with more traditional neurophysiological and cognitive-behavioral methodologies, may allow for a more comprehensive understanding of that enigma called hypnosis.
先前使用逐步回归分析的研究发现,自我报告的催眠深度(srHD)是受暗示性、恍惚状态效应和预期影响的结果。本研究旨在使用一种催眠反应性的一般状态测量方法——意识现象学量表:催眠评估程序(PCI-HAP)来重复并扩展该研究。95名参与者完成了PCI-HAP的意大利语翻译,并根据PCI-HAP评估项目预测了srHD分数。回归分析重复了先前的研究结果。此外,逐步回归分析仅使用PCI维度分数就能同样准确地预测srHD分数。这些结果不仅重复了先前的研究,还表明当这种评估催眠反应性的方法与更传统的神经生理学和认知行为方法相结合时,可能会让人对所谓的催眠之谜有更全面的理解。