The Unexplained Nature of Reading
The Unexplained Nature of Reading
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DOI：
10.1037/a0031829
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发表时间：
2013-07-01
影响因子：
2.6
通讯作者：
Estes, Zachary
中科院分区：
文献类型：
--
作者：
Adelman, James S.;Marquis, Suzanne J.;Estes, Zachary
词的性质对阅读出声反应时的影响是阅读过程的一个主要证据来源。通过单词属性可以预测这种RT的精度对于评估我们对阅读的理解至关重要，但由于个体差异的影响，这种精度往往被低估。我们估计了没有这种污染的精确度，分别为4个人，每个人阅读2，820个单词50次。这些估计值与31变量回归模型实现的精度进行了比较，该模型在方差解释标准上优于当前的认知模型。大部分（约2/3）的有意义的（非第一音素，非噪音）字级的方差仍然无法解释这个模型。在心理学的这一领域已经花费了大量的经验和理论计算的努力，但是仍然无法解释的系统性差异的高水平表明了对当代在单词水平上阅读机制细节的怀疑。未来对模型的评估可以利用我们精确的参与者级别数据库的可用性。
The effects of properties of words on their reading aloud response times (RTs) are 1 major source of evidence about the reading process. The precision with which such RTs could potentially be predicted by word properties is critical to evaluate our understanding of reading but is often underestimated due to contamination from individual differences. We estimated this precision without such contamination individually for 4 people who each read 2,820 words 50 times each. These estimates were compared to the precision achieved by a 31-variable regression model that outperforms current cognitive models on variance-explained criteria. Most (around 2/3) of the meaningful (non-first-phoneme, non-noise) word-level variance remained unexplained by this model. Considerable empirical and theoretical-computational effort has been expended on this area of psychology, but the high level of systematic variance remaining unexplained suggests doubts regarding contemporary accounts of the details of the mechanisms of reading at the level of the word. Future assessment of models can take advantage of the availability of our precise participant-level database.