I am currently trying to run a single-season with false positives model on interview data from a jaguar corridor in Nicaragua. I have triple-checked the data and there are no errors in data entry. When I try to run a null model (or any model, for that matter), I get an error message that says "Presence.exe has stopped working" and then I am forced to close the program. I have no issues running regular single-season models. I am using Presence 5.7.
Perhaps this is an issue of how I coded the data. For the interview data (in response to "Have you seen a a jaguar in the last year"), we code the response as "1" (uncertain detection) if there is only one positive sighting in the sampling unit, but we code the response as a "2" (certain detection)if there are 2+ positive detections. We decided on this protocol because the detection can be considered more reliable if there is an additional person to confirm the sighting. Could this method be causing the model to crash? I would really appreciate any assistance on this.