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Kristen Olson Profile picture
@olson_km
Jul 29, 2018 • 6 tweets • 3 min read • Read on X
#JSM2018 Richard Coffin from USAFacts up next. USAFacts - mission: make government spending data useful and accessible. Create a 10-K for government.
#JSM2018 Coffin Organize all Federal, state and local revenue and spending in categories, link to outcomes
#JSM2018 Coffin Goals for their Data
#JSM2018 Coffin People want Data, but navigating government data websites is hard. Lots of formats, inconsistent estimates. People want relevant data. Spreadsheets are not sexy. ... They did a poll - methods statement not given in talk. :)
#JSM2018 Coffin Journalists don’t have time to learn data. Need both the story and the details. What is needed is both interesting and correct, but this is hard
#JSM2018 Coffin Barriers to improving government data related to dispersion of data users. Education is top topic of SOTU but only 2% of spending

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More from @olson_km

Kristen Olson Profile picture
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
Kristen Olson Profile picture
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
Kristen Olson Profile picture
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
Kristen Olson Profile picture
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
Kristen Olson Profile picture
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
Kristen Olson Profile picture
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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