Bridging the Nomothetic and Idiographic Approaches to the Analysis of Clinical Data.
Bridging the Nomothetic and Idiographic Approaches to the Analysis of Clinical Data.
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DOI：
10.1177/1073191116648209
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发表时间：
2016-08
期刊：
影响因子：
3.8
通讯作者：
Molenaar PC
中科院分区：
文献类型：
--
作者：
Beltz AM;Wright AG;Sprague BN;Molenaar PC
通则式方法（即对个体间差异的研究）在临床数据分析中占主导地位，尽管其关于人和时间具有同质性的假设经常不成立。特殊式方法（即对个体内差异的研究）最适合用于分析异质性临床数据，但其针对个体的方法和结果被批评为难以操作。群体迭代多模型估计（GIMME）通过创建包含群体层面结构的个体特异性图谱，结合了通则式方法和特殊式方法的优点。这些图谱展示了密集测量的变量在不同时间尺度上如何相互预测。在本文中，从概念和数学上对GIMME进行了介绍，然后将其应用于一个包含25名人格障碍患者日常日记中的消极情感、冷漠、去抑制和敌意综合评分的实证数据集。对结果进行了讨论，目的是阐明GIMME在临床研究和实践中的潜力。
The nomothetic approach (i.e., the study of interindividual variation) dominates analyses of clinical data, even though its assumption of homogeneity across people and time is often violated. The idiographic approach (i.e., the study of intraindividual variation) is best suited for analyses of heterogeneous clinical data, but its person-specific methods and results have been criticized as unwieldy. Group iterative multiple model estimation (GIMME) combines the assets of the nomothetic and idiographic approaches by creating person-specific maps that contain a group-level structure. The maps show how intensively measured variables predict and are predicted by each other at different time scales. In this article, GIMME is introduced conceptually and mathematically, and then applied to an empirical data set containing the negative affect, detachment, disinhibition, and hostility composite ratings from the daily diaries of 25 individuals with personality pathology. Results are discussed with the aim of elucidating GIMME's potential for clinical research and practice.
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影响因子：
4.4
作者：
Beltz, Adriene M.;Gates, Kathleen M.;Engels, Anna S.;Molenaar, Peter C. M.;Pulido, Carmen;Turrisi, Robert;Berenbaum, Sheri A.;Gilmore, Rick O.;Wilson, Stephen J.
通讯作者：
Wilson, Stephen J.
影响因子：
22.4
作者：
CATTELL, RB
通讯作者：
CATTELL, RB
影响因子：
4.3
作者：
Beltz AM;Molenaar PC
通讯作者：
Molenaar PC
影响因子：
3.6
作者：
Hoermann, S;Clarkin, JF;Levy, KN
通讯作者：
Levy, KN
影响因子：
12.8
作者：
Haynes, Stephen N.;Mumma, Gregory H. B.;Pinson, Catherine
通讯作者：
Pinson, Catherine