An accurate model of the factors that contribute to individual differences in reading ability depends on data collection in large, diverse and representative samples of research participants. However, that is rarely feasible due to the constraints imposed by standardized measures of reading ability which require test administration by trained clinicians or researchers. Here we explore whether a simple, two-alternative forced choice, time limited lexical decision task (LDT), self-delivered through the web-browser, can serve as an accurate and reliable measure of reading ability. We found that performance on the LDT is highly correlated with scores on standardized measures of reading ability such as the Woodcock-Johnson Letter Word Identification test (r = 0.91, disattenuated r = 0.94). Importantly, the LDT reading ability measure is highly reliable (r = 0.97). After optimizing the list of words and pseudowords based on item response theory, we found that a short experiment with 76 trials (2-3 minutes) provides a reliable (r = 0.95) measure of reading ability. Thus, the self-administered, Rapid Online Assessment of Reading ability (ROAR) developed here overcomes the constraints of resource-intensive, in-person reading assessment, and provides an efficient and automated tool for effective online research into the mechanisms of reading (dis)ability.

中文翻译：

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在线快速阅读能力评估

导致个体阅读能力差异的因素的准确模型取决于研究参与者的大量，具有代表性的代表性样本中的数据收集。然而，由于标准化的阅读能力测量所带来的限制，这种情况很少可行，这需要受过训练的临床医生或研究人员进行测试管理。在这里，我们探讨了通过网络浏览器自动交付的，简单的，两种选择的强制选择，时间受限的词汇决策任务（LDT）是否可以作为准确而可靠的阅读能力的量度。我们发现LDT的性能与标准化阅读能力的评分（例如Woodcock-Johnson字母词识别测试）高度相关（r = 0.91，衰减的r = 0.94）。重要的，LDT读取能力量度高度可靠（r = 0.97）。在根据项目反应理论优化单词和伪单词列表之后，我们发现简短的实验（共76个试验（2-3分钟））提供了一种可靠的（r = 0.95）阅读能力量度。因此，此处开发的自我管理的快速在线阅读能力评估（ROAR）克服了资源密集型亲自阅读评估的限制，并为有效的在线研究阅读机制提供了有效的自动化工具（dis ）能力。