Department of Behavioral Health, Landstuhl Regional Medical Center, Landstuhl, Germany.
Clin Neuropsychol. 2011 Oct;25(7):1207-27. doi: 10.1080/13854046.2011.600726. Epub 2011 Sep 9.
Using a relatively new statistical paradigm, Optimal Data Analysis (ODA; Yarnold & Soltysik, 2005), this research demonstrated that newly developed scales for the Minnesota Multiphasic Personality Inventory-2 (MMPI-2) and MMPI-2 Restructured Form (MMPI-2-RF) specifically designed to assess over-reporting of cognitive and/or somatic symptoms were more effective than the MMPI-2 F-family of scales in predicting effort status on tests of cognitive functioning in a sample of 288 military members. ODA demonstrated that when all scales were performing at their theoretical maximum possible level of classification accuracy, the Henry Heilbronner Index (HHI), Response Bias Scale (RBS), Fake Bad Scale (FBS), and the Symptom Validity Scale (FBS-r) outperformed the F-family of scales on a variety of ODA indexes of classification accuracy, including an omnibus measure (effect strength total, EST) of the descriptive and prognostic utility of ODA models developed for each scale. Based on the guidelines suggested by Yarnold and Soltysik for evaluating effect strengths for ODA models, the newly developed scales had effects sizes that were moderate in size (37.66 to 45.68), whereas the F-family scales had effects strengths that ranged from weak to moderate (15.42 to 32.80). In addition, traditional analysis demonstrated that HHI, RBS, FBS, and FBS-R had large effect sizes (0.98 to 1.16) based on Cohen's (1988) suggested categorization of effect size when comparing mean scores for adequate versus inadequate effort groups, whereas F-family of scales had small to medium effect sizes (0.25 to 0.76). The MMPI-2-RF Infrequent Somatic Responses Scale (F(S)) tended to perform in a fashion similar to F, the best performing F-family scale.
使用一种相对较新的统计范式——最佳数据分析(ODA;Yarnold & Soltysik,2005),本研究表明,为评估认知和/或躯体症状的过度报告而专门开发的明尼苏达多相人格测验第二版(MMPI-2)和 MMPI-2 重构版(MMPI-2-RF)新量表,在预测 288 名军事人员认知功能测试中的努力程度方面,比 MMPI-2 F 量表家族更有效。ODA 表明,当所有量表都在其理论上可能的最高分类准确性水平下运行时,亨利·海仑布伦指数(HHI)、反应偏差量表(RBS)、虚假不良量表(FBS)和症状效度量表(FBS-r)在各种 ODA 分类准确性指标上优于 F 量表家族,包括为每个量表开发的 ODA 模型的描述性和预后效用的综合指标(有效性总效应,EST)。基于 Yarnold 和 Soltysik 提出的评估 ODA 模型效果强度的准则,新开发的量表的效应大小为中等(37.66 至 45.68),而 F 量表家族的效应强度范围从弱到中等(15.42 至 32.80)。此外,传统分析表明,HHI、RBS、FBS 和 FBS-r 在比较充分和不充分努力组的平均分数时,具有较大的效应大小(0.98 至 1.16),这是基于科恩(1988)提出的效应大小分类,而 F 量表家族的效应大小较小到中等(0.25 至 0.76)。MMPI-2-RF 不频繁躯体反应量表(F(S))的表现趋势类似于 F 量表,即表现最好的 F 量表家族量表。