Publication:
Designing Surveys on Youth Immigration Reform: Lessons from the 2016 CCES Anomaly

dc.contributor.advisorScott Blinder
dc.contributor.advisorMeredith Rolfe
dc.contributor.authorCalkins, Saige
dc.contributor.departmentUniversity of Massachusetts Amherst
dc.contributor.departmentPolitical Science
dc.date2024-03-28T19:48:27.000
dc.date.accessioned2024-04-26T18:36:56Z
dc.date.available2024-04-26T18:36:56Z
dc.date.submittedSeptember
dc.date.submitted2020
dc.description.abstractEven with clear advantages to using internet based survey research, there are still some uncertainties to which survey methods are most conducive to an online platform. Most survey method literature, whether focusing on online, telephone, or in-person formats, tend to observe little to no differences between using various survey modes and survey results. Despite this, there is little research focused on the interaction effect between survey formatting, in terms of design and framing, and public opinion on social issues, specifically child immigration policies - a recent topic of popular debate. This paper examines an anomalous result found within the 2016 Cooperative Congressional Election Study (CCES) public opinion immigration question focusing on a DACA-related policy, where support was evenly split on the typically highly favored policy. To decipher the unprecedented result, an experimental survey design was conducted via Qualtrics by comparing various survey formats (single-style, forced choice, Likert scale) and inclusionary policy details to the original CCES “select all that apply” matrix style. By comparing the experimental polls, the results indicated that the “select all that apply” matrix again produced anomalous results, while the various other methods produced a breakdown similar to typical DACA-related polling data. These findings have necessary implications for future survey designs and those examining public opinion on child immigration policies.
dc.description.degreeMaster of Arts (M.A.)
dc.identifier.doihttps://doi.org/10.7275/19162506
dc.identifier.orcidhttps://orcid.org/0000-0002-5806-6569
dc.identifier.urihttps://hdl.handle.net/20.500.14394/34026
dc.relation.urlhttps://scholarworks.umass.edu/cgi/viewcontent.cgi?article=2044&context=masters_theses_2&unstamped=1
dc.source.statuspublished
dc.subjectDream Act
dc.subjectDACA
dc.subjectFraming theory
dc.subjectSurvey design
dc.subjectSelect all that apply
dc.subjectForced choice
dc.subjectAmerican Politics
dc.subjectData Science
dc.subjectModels and Methods
dc.subjectPolitical Science
dc.subjectSocial Statistics
dc.titleDesigning Surveys on Youth Immigration Reform: Lessons from the 2016 CCES Anomaly
dc.typeopenaccess
dc.typearticle
dc.typethesis
digcom.contributor.authorisAuthorOfPublication|email:scalkins@umass.edu|institution:University of Massachusetts Amherst|Calkins, Saige
digcom.identifiermasters_theses_2/955
digcom.identifier.contextkey19162506
digcom.identifier.submissionpathmasters_theses_2/955
dspace.entity.typePublication
Files
Original bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
auto_convert.pdf
Size:
943.23 KB
Format:
Adobe Portable Document Format
No Thumbnail Available
Name:
Saige_Calkins_MA_Thesis.docx
Size:
810.23 KB
Format:
Microsoft Word XML
Collections