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一种延迟折扣的随机效用模型及其在外显型精神病理学患者中的应用。

A random utility model of delay discounting and its application to people with externalizing psychopathology.

作者信息

Dai Junyi, Gunn Rachel L, Gerst Kyle R, Busemeyer Jerome R, Finn Peter R

机构信息

Department of Psychological and Brain Science, Indiana University.

出版信息

Psychol Assess. 2016 Oct;28(10):1198-1206. doi: 10.1037/pas0000248. Epub 2015 Nov 23.

Abstract

Previous studies have demonstrated that working memory capacity plays a central role in delay discounting in people with externalizing psychopathology. These studies used a hyperbolic discounting model, and its single parameter-a measure of delay discounting-was estimated using the standard method of searching for indifference points between intertemporal options. However, there are several problems with this approach. First, the deterministic perspective on delay discounting underlying the indifference point method might be inappropriate. Second, the estimation procedure using the R2 measure often leads to poor model fit. Third, when parameters are estimated using indifference points only, much of the information collected in a delay discounting decision task is wasted. To overcome these problems, this article proposes a random utility model of delay discounting. The proposed model has 2 parameters, 1 for delay discounting and 1 for choice variability. It was fit to choice data obtained from a recently published data set using both maximum-likelihood and Bayesian parameter estimation. As in previous studies, the delay discounting parameter was significantly associated with both externalizing problems and working memory capacity. Furthermore, choice variability was also found to be significantly associated with both variables. This finding suggests that randomness in decisions may be a mechanism by which externalizing problems and low working memory capacity are associated with poor decision making. The random utility model thus has the advantage of disclosing the role of choice variability, which had been masked by the traditional deterministic model. (PsycINFO Database Record

摘要

先前的研究表明,工作记忆容量在具有外化精神病理学特征的人群的延迟折扣中起着核心作用。这些研究使用了双曲线折扣模型,其单一参数——一种延迟折扣的度量——是通过在跨期选项之间寻找无差异点的标准方法来估计的。然而,这种方法存在几个问题。首先,无差异点方法所基于的延迟折扣的确定性观点可能不合适。其次,使用R2度量的估计程序往往导致模型拟合不佳。第三,当仅使用无差异点来估计参数时,在延迟折扣决策任务中收集的许多信息都被浪费了。为了克服这些问题,本文提出了一种延迟折扣的随机效用模型。所提出的模型有两个参数,一个用于延迟折扣,一个用于选择变异性。它使用最大似然法和贝叶斯参数估计对从最近发表的数据集中获得的选择数据进行拟合。与先前的研究一样,延迟折扣参数与外化问题和工作记忆容量均显著相关。此外,还发现选择变异性也与这两个变量显著相关。这一发现表明,决策中的随机性可能是外化问题和低工作记忆容量与决策不良相关的一种机制。因此,随机效用模型具有揭示被传统确定性模型所掩盖的选择变异性作用的优势。(PsycINFO数据库记录)

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