This guide is designed to help researchers make sure that their research reports include enough information about study measures so that readers can assess the quality of the study's methods and results. The guide also provides examples of write-ups about measures and suggests resources for learning more about these topics. The guide assumes that researchers have: (1) clearly articulated their research questions; (2) completed a rigorous review of the leading measures for assessing each necessary component of the theory of change and the relevant domains and constructs; and (3) selected measures that are aligned with the intervention's theory of change (also referred to as a logic model), and that address the study's research questions. These measures may include contextual factors, inputs to implementation, expected intervention activities, out- puts, and both short-term and long-term outcomes (Lugo-Gil et al. 2011; W.K. Kellogg 2004). Also provided are five checklists to help researchers provide complete information describing: (1) their study's measures; (2) data collection training and quality; (3) the study's reference population, study sample, and measurement timing; (4) evidence of the reliability and construct validity of the measures; and (5) missing data and descriptive statistics. The brief includes an example of parts of a report's methods and results section illustrating how the checklists can be used to check the completeness of reporting. A bibliography is also included. The appendix contains "Measures Reporting Checklist for Researchers".