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Survey Experiments. Defined. Uses a survey question as its measurement device Manipulates the content, order, format, or other characteristics of the survey as a treatment. Methodological Issues. Missing Data Matching Both can be an issue in experiments other than surveys. Missing Data.
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Defined • Uses a survey question as its measurement device • Manipulates the content, order, format, or other characteristics of the survey as a treatment
Methodological Issues • Missing Data • Matching • Both can be an issue in experiments other than surveys
Missing Data • Some observations missing data on the DV or IVs • If missing at random, not a problem to drop from the analysis • But usually not missing at random • Deleting non-random missing causes bias
Missing Data II • Data can also be missing intentionally: • Some cases not “treated” • Possible to “guess” what would have happened to a subject had they been in another treatment group • Allows within-subject comparison of two treatments, the one they received and the one they could have received
Solution: Imputation • Suppose Yi = a + b1Xi1 + b2Xi2 +ei • But Yi missing for some observations • Xi1 and Xi2 not missing • Regress Y on Xi1 and Xi2 for all non-missing observations • Use b1 and b2 to calculate predicted Ypi
Better Yet: Multiple Imputation • Ypi is a predicted value with uncertainty • Multiple imputation predicts multiple values for Ypi drawn from a distribution of predicted values • 5 or so predicted Ypi sufficient for inference, no need for many • Gary King’s Amelia program available free on-line
Matching • Experiments can be pre-matched to avoid large random sample • Match subjects on important characteristics such as • Sex • Race • Age • Education levels • Other traits?
Matching • Often necessary in field experiment when randomization more difficult to control • propensity scoreis the probability of an observation being assigned to a particular treatment in a study given a set of known variables. • Propensity scores reduce selection bias by equating groups based on these variables
Question • Why do people change their answers to survey questions if the order of questions changes? • Does changing survey responses indicate that people do not have well-formed opinions
Theory • Nonseparable Preferences: What a person wants on one issue depends on what she gets on another issue • Separable Preferences: What a person wants on every issue is independent of what they get on other issues
Method • Randomize the order of pairs of survey questions • For some issues, aggregate responses different across question order • Each subject answers questions in order • Issue 1 then Issue 2 • Issue 2 then Issue 1
Method • Impute what subject would have answered had they heard questions in different order • For each question we then have Yi (if first) – Yi (if second) • One of these will be imputed for each person since they cannot answer a question both first and second in the order • First study to analyze individual differences in question orders, not simply aggregate differences
Conclusions • Nonseparable preferences explain question order effects • Political information level does not • Response instability not due to uninformed respondents
Are Survey Experiments Externally Valid? JASON BARABAS and JENNIFER JERIT American Political Science Review 2010
Question • Many survey experiments expose subjects to different information to show effect of on responses • In a survey experiment, subjects are a “captive audience” that must pay attention • Do the same information effects appear in the real world • Compare survey experiments with natural experiments
Method • Survey experiments give people to political information about immigration and medical care • Pre-post survey also in field during change in medical insurance and immigration • Ask respondents which media sources they use • Is the effect of information in the survey experiment as large as in the natural experiment?