rich interactions ̣ We seek feedback and modulate our responses ̣ We have a good idea when there is shared understanding ̣ Surveys are rigid and prone to misunderstanding
rates ̣ Completion tendency/sunk cost ̣ Still get partial info for drop outs Roberson, M.T. & Sundstrom, E. (1990). Questionnaire design, return rates, and response favorableness in an employee attitude questionnaire. Journal of Applied Psychology, 75, 354-357. Martin, J.D. & McConnell, J.P. (1970). Mail questionnaire response induction: the effect of four variables on the response of a random sample to a difficult questionnaire. Social Science Quarterly, 51, 409-414.
“How often do you prepare a meal?” ̣ “How often do you prepare a meal, excluding ready-meals” ̣ “How often do you prepare an evening meal, excluding ready meals?”
an evening meal, excluding ready-meals in the last 7 days?” ̣ “Did you prepare any evening meals, excluding ready-meals, in the last 7 days?” then, if so, ̣ “How many did you prepare?”
is more reliable than attitudes/preferences Bertrand, M. & Mullainathan, S. (2001). Do people mean what they say? Implications for subjective survey data. American Economic Review, 91, 67-72.
̣ Avoid double barrelled questions ̣ Avoid absolutes ̣ Make the questions answerable e.g. include ‘other’ as an answer option ̣ Target the appropriate audience ̣ Reduce reliance on memory ̣ Avoid questions about the future
open ended questions ̣ Consider a pilot study ̣ Randomise question order, and answer options, where possible ̣ Don’t waste Q’s on ones better answered elsewhere, like analytics ̣ Map it out if it’s complicated