STRATEGIC CONTROL OF PROCESSING IN WORD RECOGNITION
STRATEGIC CONTROL OF PROCESSING IN WORD RECOGNITION
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DOI：
10.1037/0096-1523.19.4.744
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发表时间：
1993-08-01
影响因子：
2.1
通讯作者：
VANORDEN, GC
中科院分区：
文献类型：
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作者：
STONE, GO;VANORDEN, GC
通过操纵非词箔与真实的词的相似性（非词词汇性）来考察词汇决策任务中词识别的策略控制。整体正确的反应时间的话和优势的高-低频字更大时，非字箔更像字。这对于非法（BTESE）与法律的（DEEST）非字箔和法律的非字与伪同音字（BEEST）箔都是正确的。在第二个实验中重复了相同的结果模式，其中单词目标总是不规则的（例如，有）。第三个实验证明了一个大的频率阻塞效应的低频字，给定的伪同音箔。将结果应用于路径选择和随机行走框架。对于这两个框架，规范模型的开发，其特征定性预测的广泛类别的模型在该框架内。我们主张一个多元化的方法来理论发展，从低到高阶的数据和理论之间的同构。
Strategic control of word recognition in a lexical decision task was examined by manipulating the similarity of nonword foils to real words (nonword lexicality). Overall correct reaction times to words and the advantage of high- over low-frequency words were greater when nonword foils were more wordlike. This was true for both illegal (BTESE) versus legal (DEEST) nonword foils and legal nonword versus pseudohomophone (BEEST) foils. The same pattern of results was replicated in a 2nd experiment in which the word targets were always irregular (e.g., HAVE). A 3rd experiment demonstrated a large frequency blocking effect for low-frequency words, given pseudohomophone foils. The results are applied to pathway selection and random-walk frameworks. For both frameworks, canonical models are developed, which characterize qualitative predictions of broad classes of models within that framework. We argue for a pluralistic approach to theory development that moves from lower to higher order isomorphisms between data and theory.