So, the AAS 223 raw data file has some very odd inconsistencies, including submissions for the same talk number that have drastically different responses (like, different speaker genders and/or completely different questioner patterns). Typically, the two sets of conflicting data were submitted 3 hours apart. In some cases, I can match against the program and determine which session accurately matches the speaker genders, other times I've just been deleting both sets, because there's no way to know which is correct. And even if speaker gender is right, "MMFFM" and "FMMM" or "F" and "M" aren't easy to consolidate.
@jradavenport, do you remember how you dealt with this for your first paper (it's not in the text). Do you happen to still have the cleaned data from that paper?
So, the AAS 223 raw data file has some very odd inconsistencies, including submissions for the same talk number that have drastically different responses (like, different speaker genders and/or completely different questioner patterns). Typically, the two sets of conflicting data were submitted 3 hours apart. In some cases, I can match against the program and determine which session accurately matches the speaker genders, other times I've just been deleting both sets, because there's no way to know which is correct. And even if speaker gender is right, "MMFFM" and "FMMM" or "F" and "M" aren't easy to consolidate.
@jradavenport, do you remember how you dealt with this for your first paper (it's not in the text). Do you happen to still have the cleaned data from that paper?