ANES Announcement: November 2019 Updates

Dear American National Election Studies (ANES) user community:

We would also like to take a moment to thank the following people who sent in ideas and suggestions for the 2019 Pilot Study questionnaire. Thank you!

Christopher Altamura, University of Kansas
Joseph Amick, University of Texas at Austin
Yasemin Besen-Cassino, Montclair State University
Amber Carrier, BlueLabs
Dan Cassino, Fairleigh Dickinson University
John Crowell, Rutgers University
Andrew W. Delton, Stony Brook University
Peter DeScioli, Stony Brook University
Kevin Drakulich, Northeastern University
Molly Fisch-Friedman, Climate Nexus
Guy Freedman, University of Texas at Austin
Jeffrey M. Glas, University of Georgia
John Hagan, Northeastern University
Eric Hanley, University of Kansas
Brian F. Harrison, University of Minnesota
April A. Johnson, Kennesaw State University
Devon Johnson, George Mason University
Kyle Mattes, Florida International University
Melissa Michelson, Menlo College
Matt Motta, Oklahoma State University
Shannon O’Brien, University of Texas at Austin
Christopher Ojeda, University of Tennessee, Knoxville
Sierra Powell, Mt. Saint Antonio College
David P. Redlawsk, University of Delaware
David RePass, University of Connecticut
Ira J. Roseman, Rutgers University
Timothy J. Ryan, University of North Carolina at Chapel Hill
Aliya Saperstein, Stanford University
Christine Slaughter, University of California, Los Angeles
David N. Smith, University of Kansas
Bartholomew Sparrow, University of Texas at Austin
Tyler Steelman, University of North Carolina at Chapel Hill
Blaine Stum, Office of D.C. Council Chairman Phil Mendelson
Laurel Westbrook, Grand Valley State University
Kevin Wozniak, University of Massachusetts, Boston
L. J. Zigerell, Illinois State University

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Detailed item-level timing data for the 2016 ANES Time Series study are now available for download from our website at: https://electionstudies.org/data-center/2016-time-series-study/
The item-level timing data are located under Auxiliary Files and can be merged into the main Time Series data file using the four-digit Case ID variable V160001.

Some small differences exist in the way timing data was captured by the face-to-face and web instruments, as explained in the readme file which accompanies the data.

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Best wishes,
The ANES project

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