Analysis of Affective Instability in Ecological Momentary Assessment: Indices Using Successive Difference and Group Comparison via Multilevel Modeling
Analysis of Affective Instability in Ecological Momentary Assessment: Indices Using Successive Difference and Group Comparison via Multilevel Modeling
复制标题
DOI：
10.1037/a0014173
复制
发表时间：
2008-12-01
影响因子：
7
通讯作者：
Trull, Timothy J.
中科院分区：
文献类型：
--
作者：
Jahng, Seungmin;Wood, Phillip K.;Trull, Timothy J.
情感的时间不稳定性是边缘型人格障碍（BPD）和情绪循环障碍等心理障碍的一个定义特征。生态瞬时评估（EMA）使研究人员能够直接评估这种频繁和极端的波动。作者研究了这种时间不稳定性的4种操作化：人内方差（WPV），一阶自相关，均方连续差（MSSD）和急性变化概率（PAC）。有人认为，MSSD和PAC措施的情感不稳定性的首选指标，因为它们捕获的时间序列的可变性和时间依赖性。此外，这2个措施在捕捉内和日间不稳定性的性能进行了讨论。为了说明这一点，作者提供了一项关于BPD和重度抑郁症患者消极情绪研究的EMA数据。在这项研究中，MSSD和PAC比WPV更好地捕捉了情感不稳定性。鉴于MSSD和PAC是个体差异的措施，作者建议，这些指标的组间差异进行了探讨，使用广义多水平模型。还提供了MSSD和PAC的版本，这些版本调整了评估之间的随机时间间隔。
Temporal instability of affect is a defining characteristic of psychological disorders such as borderline personality disorder (BPD) and mood cycling disorders. Ecological momentary assessment (EMA) enables researchers to directly assess such frequent and extreme fluctuations over time. The authors examined 4 operationalizations of such temporal instability: the within-person variance (WPV), the first-order autocorrelation, the mean square successive difference (MSSD), and the probability of acute change (PAC). It is argued that the MSSD and PAC measures are preferred indices of affective instability because they capture both variability and temporal dependency in a time series. Additionally, the performance of these 2 measures in capturing within- and between-day instability is discussed. To illustrate, the authors present EMA data from a study of negative mood in BPD and major depressive disorder patients. In this study, MSSD and PAC captured affective instability better than did WPV. Given that MSSD and PAC are individual difference measures, the authors propose that group differences on these indices be explored using generalized multilevel models. Versions of MSSD and PAC that adjust for randomly elapsed time interval between assessments are also presented.