Measuring Attentiveness in Self-Administered Surveys

Author:

Berinsky Adam J1,Frydman Alejandro2ORCID,Margolis Michele F3,Sances Michael W4,Valerio Diana Camilla5

Affiliation:

1. Department of Political Science, Massachusetts Institute of Technology Mitsui Professor, , Cambridge, MA, US

2. Department of Political Science, Massachusetts Institute of Technology PhD Candidate, , Cambridge, MA, US

3. Department of Political Science, University of Pennsylvania Associate Professor, , Philadelphia, PA, US

4. Department of Political Science, Temple University Associate Professor, , Philadelphia, PA, US

5. Department of Political Science, Massachusetts Institute of Technology Senior Research Support Associate, , Cambridge, MA, US

Abstract

Abstract The surge in online self-administered surveys has given rise to an extensive body of literature on respondent inattention, also known as careless or insufficient effort responding. This burgeoning literature has outlined the consequences of inattention and made important strides in developing effective methods to identify inattentive respondents. However, differences in terminology, as well as a multiplicity of different methods for measuring and correcting for inattention, have made this literature unwieldy. We present an overview of the current state of this literature, highlighting commonalities, emphasizing key debates, and outlining open questions deserving of future research. Additionally, we emphasize the key considerations that survey researchers should take into account when measuring attention.

Publisher

Oxford University Press (OUP)

Reference84 articles.

1. Attention by Design: Using Attention Checks to Detect Inattentive Respondents and Improve Data Quality;Abbey;Journal of Operations Management,2017

2. Paying Attention to Inattentive Survey Respondents;Alvarez;Political Analysis,2019

3. Survey Attention and Self-Reported Political Behavior;Alvarez;Public Opinion Quarterly,2023

4. Answering Without Reading: IMCs and Strong Satisficing in Online Surveys;Anduiza;International Journal of Public Opinion Research,2017

5. A Little Garbage In, Lots of Garbage Out: Assessing the Impact of Careless Responding In Personality Survey Data;Arias;Behavior Research Methods,2020

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