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Author Pollard, Michael, author.

Title Methodology of the 2016 RAND Presidential Election Panel Survey (PEPS) / by Michael Pollard, Joshua Mendelsohn.

Publication Info. Santa Monica, Calif. : RAND, [2016]
2016

Copies

Location Call No. OPAC Message Status
 Axe JSTOR Open Ebooks  Electronic Book    ---  Available
Description 1 online resource (vi, 9 pages) : color chart.
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series Research report ; RR-1460-RC/UCLA
Research report (Rand Corporation) ; RR-1460-RC/UCLA.
Note "March 28, 2016"--Table of contents page.
"Sponsored by philanthropic contributions from RAND supporters, RAND, and UCLA."
Bibliography Includes bibliographical references (pages 8-9).
Contents Preface -- Table of Contents -- Table and Figure -- Abbreviations -- Methodology of the 2016 RAND Presidential Election Panel Survey: Sample -- Weighting -- Surveys -- Predicting Election Results -- Additional Analyses -- References.
Summary "The 2016 RAND Presidential Election Panel Survey uses the American Life Panel (ALP) to study voting intentions, public opinion, and voter behavior. The ALP is a scientifically recruited Internet panel. Using the ALP allows us to contact the same people over time to study the evolution of their voting intentions, behavior, and opinions. Furthermore, we follow previous RAND election surveys by asking respondents about their voting intentions in probabilistic terms (percent chance), which improves forecasts. This document provides a detailed description of our methodology"--Publisher's description.
Note Online resource; title from PDF title page (RAND, viewed April 5, 2016).
Subject Presidents -- United States -- Election -- Statistics.
Election forecasting -- United States -- 21st century.
Political campaigns -- United States -- Statistics.
United States -- Politics and government -- 21st century.
Election forecasting. (OCoLC)fst00904298
Political campaigns. (OCoLC)fst01069212
Politics and government. (OCoLC)fst01919741
Presidents -- Election. (OCoLC)fst01075747
United States. (OCoLC)fst01204155
Chronological Term 2000-2099
Genre/Form Electronic books.
Electronic books.
Statistics. (OCoLC)fst01423727
Added Author Mendelsohn, Joshua, author.
Labor and Population Program, issuing body, publisher.
ISBN 9780833095282 (electronic bk.)
0833095285 (electronic bk.)

 
    
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