Hall J F
Pavlov J Biol Sci. 1986 Jan-Mar;21(1):1-11. doi: 10.1007/BF02995033.
Many investigators have assumed that the conditional emotional response (CER) with its attendant response measure, response suppression, can be used as a model for Pavlovian conditioning; that is, that the experimental results obtained with the CER will yield findings similar to those obtained with the direct conditional stimulus (CS)-conditional response (CR) paradigm, e.g., conditioning of the eyeblink, electrodermal (EDR), finger withdrawal, etc. Several problems, however, have emerged with this assumption. The first is a methodologic-statistical one. Measurement of response suppression using the familiar ratio measure assumes that different base rates of responding should play no role in determining the size of the suppression ratio, and operant responding from one pre-CS period to another will remain stable. These assumptions have been found to be in error. In addition, the statistical assumptions of normally distributed data and homogeneous variances of the experimental and control groups also have been called to question. Some experimenters, however, have taken the position that if CER and direct CS-CR experimental findings are in general agreement when a particular conditioning variable has been manipulated, the methodologic-statistical problems that we have identified can be ignored. The experimental evidence suggests that although such comparisons frequently indicate an identity of findings, there are sufficient exceptions in which caution is urged in assuming that the two paradigms are measuring the same learning correlate.
许多研究者认为,条件性情绪反应(CER)及其伴随的反应测量指标——反应抑制,可以用作经典条件作用的模型;也就是说,用CER获得的实验结果将产生与直接条件刺激(CS)-条件反应(CR)范式(如眨眼条件作用、皮肤电反应(EDR)、手指回撤等)所获得的结果相似的发现。然而,这一假设出现了几个问题。第一个是方法学-统计学问题。使用常见的比率测量法来测量反应抑制,假定不同的反应基线率在确定抑制比率的大小方面不应起作用,并且从一个CS前阶段到另一个阶段的操作性反应将保持稳定。这些假设已被发现是错误的。此外,实验数据呈正态分布以及实验组和对照组方差齐性的统计学假设也受到了质疑。然而,一些实验者认为,如果在操纵某个特定条件变量时,CER和直接CS-CR实验结果总体上一致,那么我们所指出的方法学-统计学问题就可以忽略不计。实验证据表明,尽管此类比较常常表明结果相同,但也有足够多的例外情况,因此在假定这两种范式测量的是相同的学习相关指标时应谨慎行事。