The importance of using multiple outcome measures in infant research
The importance of using multiple outcome measures in infant research
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DOI：
10.1111/infa.12339
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发表时间：
2020-04-28
期刊：
影响因子：
2.6
通讯作者：
Field, Andy P.
中科院分区：
文献类型：
--
作者：
LoBue, Vanessa;Reider, Lori B.;Field, Andy P.
收集婴儿数据是出了名的困难。因此，我们的许多研究都是由小样本组成的，只有一个单一的测量，在一个单一的年龄组，在一个单一的时间点。随着人们再次呼吁在数据收集实践中提高学术严谨性，在婴儿研究中使用多种结果测量方法是提高严谨性的一种方法，同时，使我们能够更准确地解释我们的数据。在这里，我们用我们自己关于快速威胁检测的工作和更广泛的婴儿期文献中的例子来说明在心理学研究中使用多种测量方法的重要性。首先，我们用单一的结果测量方法描述了我们最初的研究，以及这种策略是如何使我们几乎错过了一个关于威胁的注意偏见及其发展的丰富而复杂的故事。我们展示了如何使用趋同的措施可以帮助研究人员对婴儿行为进行推断，以及如何使用额外的措施使我们能够更深入地研究驱动发育变化的机制。最后，我们为研究人员在未来的工作中如何使用多种测量方法提供了实用和统计建议。
Collecting data with infants is notoriously difficult. As a result, many of our studies consist of small samples, with only a single measure, in a single age group, at a single time point. With renewed calls for greater academic rigor in data collection practices, using multiple outcome measures in infant research is one way to increase rigor, and, at the same time, enable us to more accurately interpret our data. Here, we illustrate the importance of using multiple measures in psychological research with examples from our own work on rapid threat detection and from the broader infancy literature. First, we describe our initial studies using a single outcome measure, and how this strategy caused us to nearly miss a rich and complex story about attention biases for threat and their development. We demonstrate how using converging measures can help researchers make inferences about infant behavior, and how using additional measures allows us to more deeply examine the mechanisms that drive developmental change. Finally, we provide practical and statistical recommendations for how researchers can use multiple measures in future work.