Authors
Katherine Clayton, Yusaku Horiuchi, Aaron R Kaufman, Gary King, Mayya Komisarchik, Danny Ebanks, Jonathan N Katz, Gary King, Georgina Evans, Gary King, Georgina Evans, Gary King, Adam D Smith, Abhradeep Thakurta, Jonathan Katz, Gary King, Elizabeth Rosenblatt, Georgina Evans, Gary King, Margaret Schwenzfeier, Abhradeep Thakurta, Zachary J Ward, Rifat Atun, Gary King, Brenda Sequeira Dmello, Sue J Goldie, Zachary J Ward, Rifat Atun, Gary King, Brenda Sequeira Dmello, Sue J Goldie, Georgina Evans, Gary King, Ian Ayres, Richard A Berk, Richard RW Brooks, Daniel E Ho, Gary King, Kevin Quinn, Donald B Rubin, Sherod Thaxton, Connor T Jerzak, Gary King, Anton Strezhnev, Jonathan Katz, Gary King, Elizabeth Rosenblatt, Cynthia Dwork, Ruth Greenwood, Gary King, Cynthia Dwork, Ruth Greenwood, Gary King, Gary King, Brian Lukoff, Eric Mazur, Gary King, Brian Lukoff, Eric Mazur, Georgina Evans, Gary King, Margaret Schwenzfeier, Abhradeep Thakurta, Gary King, Robert O Keohane, Sidney Verba, Gary King, Aaron Kaufman, Gary King, Mayya Komisarchik
Publication date
2023/7/23
Journal
American Journal of Political Science
Volume
12
Issue
B2
Pages
1-11
Publisher
Princeton University Press
Description
Conjoint survey designs are spreading across the social sciences due to their unusual capacity to estimate many causal effects from a single randomized experiment. Unfortunately, by their ability to mirror complicated real-world choices, these designs often generate substantial measurement error and thus bias. We first present a simplified statistical framework for conjoint designs that also enables researchers to study a wider array of substantive questions. We then replicate both the data collection and analysis from eight prominent conjoint studies, all of which closely reproduce published results, and show that a large amount of observed variation in answers to conjoint questions is effectively random noise. We then discover a common empirical pattern in how measurement error appears in conjoint studies and, with it, we introduce an easy-to-use statistical method to correct the bias.
Total citations
Scholar articles
K Clayton, Y Horiuchi, AR Kaufman, G King… - American Journal of Political Science, 2023
G King, G King, G King, G King, L Zeng, SC Chow… - The SAGE Handbook of Research Methods in Political …