Helle Ashley C, DeShong Hilary L, Baraldi Amanda N, Mullins-Sweatt Stephanie N
Department of Psychology, Oklahoma State University.
Psychol Assess. 2018 Jan;30(1):43-61. doi: 10.1037/pas0000502.
The Five-Factor Borderline Inventory Short Form (FFBI-SF) is a 48-item dimensional measure of borderline personality disorder (BPD) that was developed from the Five-factor model (FFM). Previous research has examined the relationships of the FFBI-SF to the FFM and BPD. The purpose of the current study was to investigate the relationship of FFBI-SF scales with behavioral outcomes, such as self-injury, physical fights, panic symptoms, promiscuous sex, theft, attempted suicide, reckless driving, and binge eating. A potential advantage of the FFBI-SF, relative to other measures of BPD, is the provision of subscales, which provides a more precise and differentiated assessment. In the current study, the predictive validity of the FFBI-SF in relation to various impulsive behaviors was investigated across a 2-month time period. Additional comparisons were also made with respect to a more traditional measure of borderline personality disorder and an assessment of the normal range of the FFM. Undergraduate students in psychology courses (T1 = 938, T2 = 284, T3 = 163) and workers from Amazon Mechanical Turk (T1 = 215, T2 = 167, T3 = 157) were administered personality measures and a measure of impulsive behaviors across 3 time points. The results are discussed with respect to the comparative validity of the FFBI-SF, relative to traditional measures of borderline personality disorder and the FFM. Overall, the study provided evidence that the FFBI-SF is able to predict specific maladaptive behaviors over time and therefore may be useful in clinical and research settings. (PsycINFO Database Record
五因素边缘型人格量表简版(FFBI-SF)是一种由五因素模型(FFM)发展而来的、用于测量边缘型人格障碍(BPD)的48项维度量表。以往的研究探讨了FFBI-SF与FFM及BPD之间的关系。本研究的目的是调查FFBI-SF各分量表与行为结果之间的关系,如自我伤害、肢体冲突、惊恐症状、滥交、盗窃、自杀未遂、鲁莽驾驶和暴饮暴食。相对于其他BPD测量工具,FFBI-SF的一个潜在优势是提供了分量表,从而能进行更精确、更有区分性的评估。在本研究中,在两个月的时间跨度内考察了FFBI-SF对各种冲动行为的预测效度。还就一种更传统的边缘型人格障碍测量工具以及FFM正常范围的评估进行了额外比较。对心理学课程的本科生(T1 = 938,T2 = 284,T3 = 163)和亚马逊土耳其机器人平台的工作人员(T1 = 215,T2 = 167,T3 = 157)在三个时间点进行了人格测量和冲动行为测量。研究结果围绕FFBI-SF相对于传统边缘型人格障碍测量工具和FFM的比较效度进行了讨论。总体而言,该研究提供了证据表明FFBI-SF能够随时间预测特定的适应不良行为,因此可能在临床和研究环境中有用。(《心理学文摘数据库记录》 )