Heathcote A, Brown S, Mewhort D J
Department of Psychology, University of Newcastle, Callaghan, Australia.
Psychon Bull Rev. 2000 Jun;7(2):185-207. doi: 10.3758/bf03212979.
The power function is treated as the law relating response time to practice trials. However, the evidence for a power law is flawed, because it is based on averaged data. We report a survey that assessed the form of the practice function for individual learners and learning conditions in paradigms that have shaped theories of skill acquisition. We fit power and exponential functions to 40 sets of data representing 7,910 learning series from 475 subjects in 24 experiments. The exponential function fit better than the power function in all the unaveraged data sets. Averaging produced a bias in favor of the power function. A new practice function based on the exponential, the APEX function, fit better than a power function with an extra, preexperimental practice parameter. Clearly, the best candidate for the law of practice is the exponential or APEX function, not the generally accepted power function. The theoretical implications are discussed.
幂函数被视为将反应时间与练习试验相关联的规律。然而,幂定律的证据存在缺陷,因为它基于平均数据。我们报告了一项调查,该调查评估了在塑造技能习得理论的范式中个体学习者和学习条件下练习函数的形式。我们将幂函数和指数函数拟合到代表来自24个实验中475名受试者的7910个学习序列的40组数据。在所有未平均的数据集中,指数函数的拟合效果优于幂函数。平均操作产生了有利于幂函数的偏差。一种基于指数的新练习函数,即APEX函数,比带有额外的实验前练习参数的幂函数拟合得更好。显然,练习定律的最佳候选者是指数函数或APEX函数,而不是普遍接受的幂函数。文中讨论了其理论意义。