- Full description of proposed sample characteristics, including criteria for data inclusion and exclusion (e.g., outlier removal). Procedures for objectively defining exclusion criteria due to technical errors or for any other reasons must be specified, including details of how and under what conditions data would be replaced. These details may also be limited to the analysis script, in case it is well commented. - A description of study procedures in sufficient detail to allow another researcher to repeat the methodology exactly, without requiring further information. These procedures must be adhered to exactly in the subsequent experiments or any Stage 2 manuscript can be rejected. - Full descriptions must be provided of any outcome-neutral criteria that must be met for successful testing of the stated hypotheses. Such quality checks might include the absence of floor or ceiling effects in data distributions, a sufficient proportion of valid observations, positive controls, or other quality checks that are orthogonal to the experimental hypotheses. Note that a positive control refers to an additional measurement with a well-defined effect size (e.g., the gain/loss framing study by Tversky and Kahneman, 1981). This measurement can be included as a quality check to better understand participant responding. Authors are encouraged to look at the various ManyLabs projects for successfully replicated effects that can serve as positive controls.