Replications are important to science, but who will do them? One proposal is that students can conduct replications as part of their training. As a proof-of-concept for this idea, here we report a series of 11 pre-registered replications of findings from the 2015 volume of Psychological Science, all conducted as part of a graduate-level course.Congruent with larger, more systematic efforts, replications typically yielded smaller effects than originals: The modal outcome was partial support for the original claim.This work documents the challenges facing motivated students as they attempt to replicate previously published results on a first attempt. We describe the workflow and pedagogical methods that were used in the class and discuss implications both for the adoption of this pedagogical model and for replication research more broadly.Keywords: Replication; Reproducibility; Pedagogy; Experimental Methods REPLICATION THROUGH PEDAGOGY 3 Improving the Replicability of Psychological Science Through PedagogyReplicability is a core value for empirical research and there is increasing concern throughout psychology that more independent replication is necessary (Open Science Collaboration, 2015; Wagenmakers, Wetzels, Borsboom, Maas, & Kievit, 2012). Yet under the current incentive structure for science, replication is not typically valued for publication in top journals (Makel, Plucker, & Hegarty, 2012) or in metrics of research productivity (Koole & Lakens, 2012). One potential solution to this problem is to make replication an explicit part of pedagogy: that is, to teach students about experimental methods by asking them to run replication studies (Frank & Saxe, 2012; Grahe et al., 2012). Despite enthusiasm for this idea (Everett & Earp, 2015; M. King et al., 2016;LeBel, 2015;Standing, 2016), there is limited data beyond anecdotal reports and individual projects (Lakens, 2013; e.g., Phillips et al., 2015) to support its efficacy in producing wide-scale pedagogical adoption.In the current article, we describe the pedagogical and methodological approach to replication research taken in our graduate-level experimental methods course and address the practical barriers faced by instructors planning to incorporate replications into their courses. In our course, students conducted replications of published articles from the 2015 volume of the journal Psychological Science with rigorous instructor review at each major stage. The results of these replications are a microcosm of larger replication efforts, providing insight into both the difficulties of pedagogical replications and their promise as a method for improving the robustness of psychological research.We assess the challenges facing a student in choosing an article of interest and -in a single attempt, within constraints of budget, expertise, and effort -reproducing the findings. We consider a number of criteria for evaluating replication success, including statistical significance, effect size, a Bayesian measure of evidence (Etz & REPLICATION THROUG...

The home deployment of sensor-based systems offers many opportunities, particularly in the area of using sensor-based systems to support aging in place by monitoring an elder's activities of daily living. But existing approaches to home activity recognition are typically expensive, difficult to install, or intrude into the living space. This paper considers the feasibility of a new approach that "reaches into the home" via the existing infrastructure. Specifically, we deploy a small number of low-cost sensors at critical locations in a home's water distribution infrastructure. Based on water usage patterns, we can then infer activities in the home. To examine the feasibility of this approach, we deployed real sensors into a real home for six weeks. Among other findings, we show that a model built on microphone-based sensors that are placed away from systematic noise sources can identify 100% of clothes washer usage, 95% of dishwasher usage, 94% of showers, 88% of toilet flushes, 73% of bathroom sink activity lasting ten seconds or longer, and 81% of kitchen sink activity lasting ten seconds or longer. While there are clear limits to what activities can be detected when analyzing water usage, our new approach represents a sweet spot in the tradeoff between what information is collected at what cost.