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贴现:无差异数据多层次分析实用指南

Discounting: A practical guide to multilevel analysis of indifference data.

作者信息

Young Michael E

机构信息

Kansas State University.

出版信息

J Exp Anal Behav. 2017 Jul;108(1):97-112. doi: 10.1002/jeab.265.

Abstract

Multilevel modeling provides the ability to simultaneously evaluate the discounting of individuals and groups using indifference point data. After considering the conditions when weaknesses emerge in estimating individual discounting as a prelude to estimating group discounting, examples are provided that indicate that multilevel modeling improves estimation in the presence of variability and missing data, and when trying to fit two-parameter discounting functions. Concrete examples of how to fit nonlinear multilevel models are provided to help researchers in the adoption of these methods.

摘要

多层次建模提供了使用无差异点数据同时评估个体和群体贴现的能力。在考虑了在估计群体贴现之前估计个体贴现时出现弱点的条件之后,给出的示例表明,在存在变异性和缺失数据的情况下,以及在尝试拟合双参数贴现函数时,多层次建模可改善估计。提供了如何拟合非线性多层次模型的具体示例,以帮助研究人员采用这些方法。

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