In a previous post I talked about some issues with collecting gender disaggregating data in practice. Susan Watkins helpfully pointed me to a number of papers which provide more systematic and thoughtful evidence on data collection issues that a lot of us face and I thought it would be useful to summarize some of them here.
Often in IE (and in social research more generally) the researcher wishes to know respondent views or information regarded as highly sensitive and hence difficult to directly elicit through survey. There are numerous examples of this sensitive information – sexual history especially as it relates to risky or taboo practices, violence in the home, and political or religious views.
Recently I was spending some time with a survey firm in Tanzania, pre-testing a survey. I got to talking with one of the folks working at the firm about how they compensated their enumerators. He made it clear that they follow a fixed efficiency wage (i.e.
Coauthored with Quy-Toan Do
In response to my blog post last week, one of my colleagues stopped me in the hall and pointed out that I missed the point. So in response, I invited him to join this week for a discussion. Our discussion follows:
Toan: A survey without an underlying research question is like salt without pepper. What you need to do is talk about what questions the survey is designed to answer.
coauthored with Sabrina Roshan
Imagine you are out on a pretest of a survey. Part of the goal is to measure the rights women have over property. The enumerator is trying out a question: "can you keep farming this land if you are to be divorced?" The woman responds: "it depends on whose fault it is." Welcome to yet another land where no one has heard of no-fault divorce.