DeCarlo Lawrence T
Department of Human Development, Box 1 18, Teachers College, Columbia Univerrsity, 525 West 120th Street, New York, NY 10027, USA.
Percept Psychophys. 2005 Jul;67(5):886-96. doi: 10.3758/bf03193541.
Bias in magnitude scaling can be viewed as involving deviations of judgments from proportionality. A model of bias is shown to provide a theoretical basis for Stevens's conjecture about geometrically averaging magnitude estimation and magnitude production exponents in order to obtain an estimate of the psychophysical exponent. An overlooked result is that one can also obtain an estimate of the magnitude of the bias. Examples from several well-known studies are presented. The bias is also shown to vary in response to experimental manipulation of the stimulus range. Aspects of predicting exponents across experiments are clarified, and a new prediction is examined. The model of bias fills some theoretical gaps in magnitude scaling and clarifies underlying assumptions and predictions.
大小缩放中的偏差可被视为判断偏离比例性的情况。一种偏差模型被证明为史蒂文斯关于对大小估计和大小产生指数进行几何平均以获得心理物理指数估计值的猜想提供了理论基础。一个被忽视的结果是，人们还可以获得偏差大小的估计值。文中给出了几项著名研究的例子。偏差也被证明会随着刺激范围的实验操作而变化。对跨实验预测指数的各个方面进行了澄清，并对一个新的预测进行了检验。偏差模型填补了大小缩放中的一些理论空白，并阐明了潜在的假设和预测。
