The Effort Lab, School of Natural Sciences and Psychology, Liverpool John Moores University, Tom Reilly Building, Byrom Street, Liverpool L3 3AF, UK.
Int J Psychophysiol. 2017 Sep;119:4-10. doi: 10.1016/j.ijpsycho.2017.04.007. Epub 2017 Apr 23.
Motivation scientists employing physiological measures to gather information about motivation-related states are at risk of committing two fundamental errors: overstating the inferences that can be drawn from their physiological measures and circular reasoning. We critically discuss two complementary approaches, Cacioppo and colleagues' model of psychophysiological relations and construct validation theory, to highlight the conditions under which these errors are committed and provide guidance on how to avoid them. In particular, we demonstrate that the direct inference from changes in a physiological measure to changes in a motivation-related state requires the demonstration that the measure is not related to other relevant psychological states. We also point out that circular reasoning can be avoided by separating the definition of the motivation-related state from the hypotheses that are empirically tested.
动机科学家使用生理测量来收集与动机相关状态的信息,他们可能会犯两个基本错误:过度推断他们的生理测量结果,以及循环推理。我们批判性地讨论了两种互补的方法,即 Cacioppo 及其同事的心理生理关系模型和结构验证理论,以突出这些错误发生的条件,并提供如何避免这些错误的指导。特别是,我们证明了从生理测量的变化直接推断到与动机相关状态的变化,需要证明该测量与其他相关心理状态无关。我们还指出,通过将与动机相关的状态的定义与经验上测试的假设分开,可以避免循环推理。