Slides and supplemental materials for the talks in __"Step by Step: Improving best practices for research with children"__ at SRCD 2019 Fri, March 22, 1:00 to 2:30pm, Hilton Baltimore, Level 2, Key 4 Given the recent “replication crisis” (Nelson, Simmons, & Simonsohn, 2018), psychology researchers are increasingly interested in improving their research practice. However, researchers working with children face particular challenges in how to do so in the context of our data and workflows. At the International Conference on Infant Studies (2018) we began a conversation about best practices in infant research, which was met with great enthusiasm (over 100 Tweets and retweets), but it has left open important questions for implementing these best practices in everyday developmental research. Here, we continue the conversation on improving developmental research. _Paper 1_ goes beyond describing open science practices to providing principles and tips for implementing these practices in a developmental researchers’ day-to-day workflow. _Paper 2_ tackles the topic of pilot studies, delineating where they can improve research design, and where they can have undesirable outcomes (e.g., Type-I error inflation). Papers 3 and 4 focus on practical recommendations for studies using looking-time measures, which is a common measure in infant laboratory studies. _Paper 3_ explores sources of variability in looking-time studies and gives practical recommendations for increasing statistical power. _Paper 4_ discusses statistical transformations of looking time data (i.e., log transformations) that avoid Type-I error inflation and increase statistical power. The talk will also give guidance for interpreting transformed data. Together, this session will provide hands-on advice for improving research practice, and will generate lively debate about when and how to embrace proposed changes to the field.