Modelling the Stochastic Component of Behaviour in Experiments: Some Issues for the Interpretation of Data
探讨人们在实验环境中的行为存在随机成分，该成分的性质对数据模式解释和假设检验的统计标准选择至关重要，但现有建模方式考虑不足。
Abstract This paper considers some of the questions raised by the fact that people's behaviour—including their behaviour in experimental environments—has a stochastic component. The nature of this component may be crucial to the interpretation of the patterns of data we observe and the choice of statistical criteria for favouring one hypothesis at the expense of others. However, it is arguable that insufficient consideration has been given to the way(s) in which the stochastic element is modelled. The paper aims to explore some of the issues involved.