[UCR_DataScience] Fwd: GradQuant Guest Speaker: Dr. Felicitas Mittereder, Facebook

[Vassilis Tsotras]

below is an interesting Data Science talk hosted by GradQuant on April 22.

V. Tsotras

--------------------------------------------------------------------------
GradQuant will host Dr. Felicitas Mittereder from Facebook this Spring 
for a talk titled /"Can We Predict Breakoff and Intervene Appropriately 
in Web Surveys?"/ Please register to receive the Zoom link.

    *Date: *Thursday, April 22, 2021
    *Time: *11am-noon
    *Location:* Zoom

    *Register at:*
    https://ucr.zoom.us/meeting/register/tJAkc--srDsjHtHbVziUTzyAWUdDCMuH1CoA


    *Abstract: *With increasing use of the internet for social research,
    Web surveys have become one of the most important and efficient
    tools for collecting survey data. One of the biggest threats to data
    quality in Web surveys is breakoff, which we see in this mode of
    data collection much more prominently than in any other mode. Given
    the (already) lower response rates in web surveys compared to more
    traditional data collection modes, it is crucial to keep as many
    diverse respondents in a given web survey as possible and prevent
    breakoff bias, maintaining high data quality and producing accurate
    survey estimates.

    We fitted a dynamic survival model to data from a real web survey to
    predict the likelihood of breaking off at both the respondent and
    page levels. This model makes use of the survey data, along with
    rich paradata and accessible administrative information from the
    sampling frame.

    After we evaluated the quality of predictions based on the model, we
    applied the model as part of a randomized experiment designed to
    reduce breakoff in the same on-going online survey on sustainability
    conducted by the Institute for Social Research at the University of
    Michigan. We used the model to predict page-level breakoff risks in
    a live fashion while respondents were taking the Web survey.
    Respondents in the treatment group saw an intervention message once
    their risk of breaking off passed a certain threshold, while
    respondents in the control group had the standard collection procedure.

    Our analyses show that female respondents and students reacted
    positively on intervention messages and broke off at lower rates
    when assigned to the treatment group. Additionally, breakoff
    respondents within the treatment group answered more survey
    questions than untreated breakoff respondents.


Best,


Yelda


---

*Yelda Serin, MA, PhD *

Graduate Student Resource Center Coordinator

UC Riverside Graduate Division

Life Sciences Building, Room #1425

(951) 827-4291 |yelda.serin at ucr.edu <mailto:yelda.serin at ucr.edu>

https://gsrc.ucr.edu <https://gsrc.ucr.edu>| https://gradquant.ucr.edu 
<https://urldefense.proofpoint.com/v2/url?u=https-3A__gradquant.ucr.edu_&d=DwMGaQ&c=LsLxleeqPm1pgCNn-PN_bQ&r=WbYfYnQz2yy5anEYWFB9TJXP-UEqDJbNc2uWAA83axM&m=iB5wzid7lUnlZpJFpZukM7PDIvpZzmR_oqPR60Yr0As&s=dVlyEhRhIxMD33lKrgrpe8vOjAtVVWrN4GwUXQfVzj8&e=>


/Click*here 
<https://urldefense.proofpoint.com/v2/url?u=https-3A__gsrc.ucr.edu_office-2Dhours&d=DwMGaQ&c=LsLxleeqPm1pgCNn-PN_bQ&r=WbYfYnQz2yy5anEYWFB9TJXP-UEqDJbNc2uWAA83axM&m=iB5wzid7lUnlZpJFpZukM7PDIvpZzmR_oqPR60Yr0As&s=4IvSdN7Mw2y85Gk4owly-fsyPaI5VqY_jN5XRi3PLBM&e=>*to 
join my office hours (Tue, 3-5pm)./

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.ucr.edu/pipermail/datascience/attachments/20210324/95a0eff1/attachment-0001.html>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: GradQuant_Felicitas Mittereder Workshop flyer_S21.pdf
Type: application/pdf
Size: 821528 bytes
Desc: not available
URL: <https://lists.ucr.edu/pipermail/datascience/attachments/20210324/95a0eff1/attachment-0001.pdf>