Kristen Olson Profile picture
Jul 30, 2018 5 tweets 3 min read Twitter logo Read on Twitter
#JSM2018 Tuba Suzer-Gurtekin from @umisr next speaker. Are there time-dependent differences in the Survey of Consumers, breaking the time series? Need to care about this when transitioning to new modes
#JSM2018 Suzer-Gurtekin Verbal likelihood on better off/ worse off than a year ago; other response scales in survey. Verbal likelihood shown with 3 points in mail, but only two points read on phone, with “same” being volunteered on phone.
#JSM2018 Suzer-Gurtekin Differences between modes could be due to q’n format, visual vs auditory differences in primacy and recency effects, and probing differences
#JSM2018 Suzer-Gurtekin Added midpoint to the phone administration got more people selecting the same point, but didn’t change the ratio of good to bad responses
#JSM2018 Suzer-Gurtekin No evidence of primacy or recency effects in an MTurk sample. Probing follow-up experiment showed significantly higher index when Rs were probed in MTurk sample, not sig in ongoing web survey, but in same direction

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More from @olson_km

Aug 2, 2018
#JSM2018 Tobias Schmidt Looking at interviewer experience and interview duration
#JSM2018 Schmidt In this survey, duration linked to interviewer salaries.
#JSM2018 Schmidt Looking at interviewer experience over the course of survey and respondent experience within survey and experience over repeated surveys. Looking in particular at experience within panel survey for both Iers and Rs
Read 9 tweets
Aug 2, 2018
#JSM2018 Celine Wuyts from KU Leuven up next.
#JSM2018 Wuyts Interested in within-survey workload. Use call history data and interview time data. Some Measure workload by fixed measures of experience and interview order cumulated over the field period. They use actual number of cases assigned at time t in field period
#JSM2018 Wuyts Use Paradata to create new measures of interview workload, based on sample units assigned on given day
Read 7 tweets
Aug 2, 2018
#JSM2018 Rebecca Powell from @RTI_Intl talking about an experiment on Add Health shifting from interviewer administered to self administered survey
#JSM2018 Powell moved to a 55 self-administered survey from 90 minutes interviewer administered. Worried about response burden with this length of self-admin survey. Randomized n=7600 into either full 55 minute survey or 2 modules- one 35 minutes then 20 minutes.
#JSM2018 Powell Could select to continue on the web. In paper, had to first complete module A, then sent module B. Cover letters told about modules in the incentive part, but not up front. $55 incentive total in each condition
Read 12 tweets
Aug 1, 2018
#JSM2018 The brilliant Susan Murphy is this year’s Fisher Lecture award recipient!
#JSM2018 Murphy Lab does sequential experimentation in improving health. Some for companies.
#JSM2018 Murphy Experimentation and continual optimization is key. How do we use learning as an experiment is put into the field to improve outcomes for individuals? Mobile interventions are key here. Intervention may be either a push intervention or pull intervention
Read 30 tweets
Aug 1, 2018
#JSM2018 Next up Hubert Hamer from NASS talking about NASS Small Area Estimation
#JSM2018 Hamer NASS has Agriculture Loss Coverage County Option program. Payments triggered based on county crop revenue falling below program guarantee. NASS surveys used to make this decision, along with other data
#JSM2018 Hamer Program paid out $3.7 billion on 2016. Small changes can affect payments
Read 13 tweets
Aug 1, 2018
#JSM2018 Peter Miller appearing as a Northwestern University emeritus professor, providing comments on the CNSTAT reports
#JSM2018 Miller Survey paradigm vs multiple data source paradigm. Surveys may become irrelevant b/c they are slow, not granular, not nimble, costly, not sustainable
#JSM2018 Miller Multiple Data sources require new: methods, computing resources, privacy protections, training, data quality frameworks. Not cheap. What does this give us?
Read 9 tweets

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