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survey methods

Dialing for Data: Enterprise Edition

Markus Goldstein's picture
Surveys are expensive.   And, in sub-Saharan Africa in particular, a big part of that cost is logistics – fuel, car-hire and the like.   So with the increasing mobile phone coverage more folks are thinking about, and actually using, phones in lieu of in person interviews to complete surveys.   The question is: what does that do to data quality?  

When bad people do good surveys

Markus Goldstein's picture
So there I was, a graduate student doing my PhD fieldwork.    In the rather hot office at the University of Ghana, I was going through questionnaire after questionnaire checking for consistency, missed questions and other dimensions of quality.   All of a sudden I saw a pattern:  in the time allocation questions, men in one village seemed to be doing the exact same things, for the same amount of time, on two very different days of the week.  

Getting to better data: Talking to strangers

Markus Goldstein's picture
About 15 years ago, when I was doing my dissertation research with a professor with experience in fieldwork, we did a 15 round survey with households in Ghana.   Given the frequency of the visits, we based the enumerators in the village.  But we were careful to hire enumerators from nearby big towns -- not the villages in which we were working.  This was partly for skills, but mostly to make sure that the enumerators wouldn't be asking sensitive questions of people they knew.   

Getting to better data: who does the editing?

Markus Goldstein's picture

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.  

Being indirect sometimes gets closer to the truth: New work on indirect elicitation surveys

Jed Friedman's picture

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.