On February 18, 2015, the New York State Education Department (NYSED) conducted a Performance Level Description Development meeting in Albany, New York. The meeting was convened to articulate the knowledge and skills expected of students at each level of performance, consistent with the policy vision set forth by the NYSED. The Performance Level Description Development meeting began with introductions of NYSED staff and the Data Recognition Corporation (DRC) facilitators. The lead DRC psychometrician provided an opening training session that included an overview of standard setting and the process by which cut scores are determined. The policy decisions associated with the standard setting, including the number of performance levels (five) and the associated labels for these levels, were reviewed. An explanation of how the performance level descriptions (PLDs) document the expected knowledge and skills associated with each performance level was then provided. The role that the PLDs play in establishing the cut scores between each level of performance was described. DRC content experts then described the development of the PLDs, which would use the following four-step process: (1) Review and Internalize Policy PLDs; (2) Evaluate Content Standards in Terms of Cognitive Complexity; (3) Align Levels of Cognitive Complexity with Performance Levels; and (4) Prepare Draft PLDs. The drafts produced represented the participants' conceptualization of the range of students in each performance level. After the meeting, DRC, working with the NYSED, reviewed and revised the PLDs for clarity and consistency. The end result of this meeting was a set of PLDs that clearly defined the level of knowledge and skill necessary for each performance level. Copies of the final Geometry PLDs developed at this meeting and revised by DRC and the NYSED are provided in Appendix A. These PLDs were used in the subsequent standard setting meeting. The policy decisions implemented were consistent with sound psychometric research to guarantee an effective and efficient standard setting. This report provides final results and additional details documenting the standard setting process and the results. [This report was also produced by Data Recognition.]