This article provides an accessible tutorial with concrete guidance for how to start improving research methods and practices in your lab. Following recent calls to improve research methods and practices within and beyond the borders of psychological science, resources have proliferated across book chapters, journal articles, and online media. Many researchers are interested in learning more about cutting-edge methods and practices but are unsure where to begin. In this tutorial, we describe specific tools that help researchers calibrate their confidence in a given set of findings. In Part I, we describe strategies for assessing the likely statistical power of a study, including when and how to conduct different types of power calculations, how to estimate effect sizes, and how to think about power for detecting interactions. In Part II, we provide strategies for assessing the likely type I error rate of a study, including distinguishing clearly between data-independent (“confirmatory”) and data-dependent (“exploratory”) analyses and thinking carefully about different forms and functions of preregistration.

本文提供了一个易于访问的教程，其中包含有关如何开始改进实验室中的研究方法和实践的具体指导。在最近呼吁改进心理学科学领域内外的研究方法和实践之后，资源在本书的各个章节，期刊文章和在线媒体中得到了激增。许多研究人员有兴趣了解更多有关尖端方法和实践的知识，但不确定从何开始。在本教程中，我们描述了一些特定的工具，这些工具可以帮助研究人员校准他们对给定结果的信心。在第一部分中，我们描述了评估研究可能的统计功效的策略，包括何时以及如何进行不同类型的功效计算，如何估计效应大小以及如何考虑用于检测相互作用的功效。在第二部分中