Documents
Determining Potential for Breakoff in Time Diary Survey Using Paradata." In 70th Annual Conference of the American Association for Public Opinion Research (AAPOR). Hollywood, Florida, 2015, available at http://www.aapor.org/AAPORKentico/Conference/Recent-Conferences.aspx.
"I Know What You Did Next: Predicting Respondent’s Next Activity Using Machine Learning." In 70th Annual Conference of the American Association for Public Opinion Research (AAPOR). Hollywood, Florida, 2015, available at http://www.aapor.org/AAPORKentico/Conference/Recent-Conferences.aspx.
"Predicting Breakoff Using Sequential Machine Learning Methods." In 70th Annual Conference of the American Association for Public Opinion Research (AAPOR). Hollywood, Florida, 2015, available at http://www.aapor.org/AAPORKentico/Conference/Recent-Conferences.aspx.
"Using Data Mining to Examine Interviewer-Respondent Interactions in Calendar Interviews." In 70th Annual Conference of the American Association for Public Opinion Research (AAPOR). Hollywood, Florida, 2015, available at http://www.aapor.org/AAPORKentico/Conference/Recent-Conferences.aspx.
"Using Machine Learning Techniques to Predict Respondent Type from A Priori Demographic Information." In 70th Annual Conference of the American Association for Public Opinion Research (AAPOR). Hollywood, Florida, 2015, available at http://www.aapor.org/AAPORKentico/Conference/Recent-Conferences.aspx.
"Designing an Intelligent Time Diary Instrument: Visualization, Dynamic Feedback, and Error Prevention and Mitigation." In UNL/SRAM/Gallup Symposium. Omaha, NE, 2014, available at http://grc.unl.edu/unlsramgallup-symposium.
"Designing an Intelligent Time Diary Instrument: Visualization, Dynamic Feedback, and Error Prevention and Mitigation." In American Association for Public Opinion Research 2014 Annual Conference. Anaheim, CA. , 2014, available at http://www.aapor.org/AAPORKentico/Conference/Recent-Conferences.aspx.
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