This article demonstrates how multinomial processing tree models can be used as assessment tools to measure cognitive deficits in clinical populations. This is illustrated with a model developed by W. H. Batchelder and D. M. Riefer (1980) that separately measures storage and retrieval processes in memory. The validity of the model is tested in 2 experiments, which show that presentation rate affects the storage of items (Experiment 1) and part-list cuing hurts item retrieval (Experiment 2). Experiments 3 and 4 examine 2 clinical populations: schizophrenics and alcoholics with organic brain damage. The model reveals that each group exhibits deficits in storage and retrieval, with the retrieval deficits being stronger and occurring more consistently over trials. Also, the alcoholics with organic brain damage show no improvement in retrieval over trials, although their storage improves at the same rate as a control group.

译文

本文演示了多项式处理树模型如何用作评估工具来衡量临床人群的认知缺陷。W开发的模型对此进行了说明。H. Batchelder和D.M。Riefer (1980),分别测量内存中的存储和检索过程。在2个实验中测试了该模型的有效性,表明呈现率会影响项目的存储 (实验1),并且部分列表提示会影响项目的检索 (实验2)。实验3和4检查了2个临床人群: 患有有机脑损伤的精神分裂症和酗酒者。该模型表明,每个组在存储和检索方面都表现出缺陷,并且在试验中,检索缺陷更强且更加一致。此外,尽管有机脑损伤的酗酒者的储存速度与对照组相同,但与试验相比,其检索没有改善。

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