Table 3:
Interviewer | Average percent of questions prompteda |
Percent of q’s using other promptingb |
Mean number unique names elicitedc |
Mean number of names per questiond |
Mean number of minutes in name-eliciting sectione |
---|---|---|---|---|---|
1 | 31 | 10 | 10.7 | 3.3 | 8.5 |
2 | 63 | 3 | 12.2 | 3.6 | 7.3 |
3 | 11 | 2 | 8.7 | 2.1 | 6.5 |
4 | 4 | 36 | 12.0 | 3.7 | 8.9 |
5 | 45 | 33 | 10.3 | 3.2 | 8.9 |
6 | 12 | 3 | 9.5 | 2.8 | 7.6 |
7 | 1 | 12 | 8.2 | 2.2 | 8.2 |
8 | 61 | 9 | 11.5 | 3.6 | 9.3 |
9 | 60 | 53 | 11.7 | 3.7 | 10.0 |
Notes: Interviewer 10 only conducted two interviews, so was not included in the analysis.
We consider interviewers “prompting” respondents when they mimicked the web administration of the survey by reading the entire prompt and—in particular—telling respondents how many names they could list for a question.
“Other prompting language” included instances where the interviewer asked the respondent questions such as, “Is there anyone else?”, “Is that all?”, or “How about your sister?”, or if interviewers told respondents “I have space for x more names.”
The average number of total unique names respondents provided to that interviewer.
The average, across respondents, of the mean number of names provided per question for that interviewer.
The average, across respondents, of the mean number of minutes in the main name-eliciting section for that interviewer. (The mean for web respondents is 9.6, with a higher skew than among interviewers.)