In response to the COVID-19 pandemic shut-down of in-person research laboratories, remote data collection became mainstream in developmental psychology research. The aim of this study was to test the feasibility of two remote data collection methods for studying sleep and motor development in infancy and the relationship between the two. We asked 1371 parents of infants aged 4–17 months who used the Nanit baby monitor to take the online Survey of Well-being of Young Children (SWYC) about their infants' motor experience. Nanit uses auto-videosomnography and computer vision algorithms to calculate and report summary statistics of infants' sleep. Nanit replicated all expected developmental trends in sleep, while the SWYC only replicated some, appearing to underestimate infants at the transition between motor milestones. However, we replicated some well-established findings regarding the relationship between sleep and motor development using both measures, suggesting that both Nanit and the SWYC can feasibly be used for remote data collection, especially if some modifications were made to how researchers explained using the SWYC to caregivers. Researchers should consider alternatives to traditional research methods not only when in-person participation is difficult or impossible, but also when large samples are needed and/or simple measurement tools are sufficient.

中文翻译：

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远程测量婴儿睡眠和运动发育的可行性

为了应对 COVID-19 大流行关闭现场研究实验室的情况，远程数据收集成为发展心理学研究的主流。本研究的目的是测试两种远程数据收集方法用于研究婴儿期睡眠和运动发育以及两者之间关系的可行性。我们询问了 1371 名 4-17 个月大婴儿的父母，他们使用 Nanit 婴儿监视器进行幼儿幸福感在线调查 (SWYC)，了解他们婴儿的运动体验。Nanit 使用自动视频睡眠图和计算机视觉算法来计算和报告婴儿睡眠的汇总统计数据。Nanit 复制了所有预期的睡眠发育趋势，而 SWYC 仅复制了一些，似乎低估了婴儿在运动里程碑之间的过渡。然而，我们使用这两种测量方法复制了一些关于睡眠和运动发育之间关系的成熟发现，这表明 Nanit 和 SWYC 都可以用于远程数据收集，特别是如果对研究人员使用 SWYC 解释的方式进行一些修改的话给护理人员。研究人员不仅在难以或不可能亲自参与时，而且在需要大样本和/或简单的测量工具就足够时，都应考虑传统研究方法的替代方法。