Hello everyone, I have several surveys completed with over 2000 participants. Some of the participants did not answer some of the questions (e.g. "Missing data"). We discussed using Median calculations to account for missing data. In addition to this, for data entry, we indicated a "6" for more than one response. In analysis, we were considering using this as "Missing data" as well. Initial thoughts were to convert the "6" responses to a "-9". However, with calculating mean scores, reverse coding, and regression, I'm wondering which is the best method to account for true missing data (items left blank) and handling user-defined missing data (more than one response). Suggestions would be most helpful.