Conducting Quantitative Studies with the Participation of Political Elites: Best Practices for Designing the Study and Soliciting the Participation of Political Elites

B. Vis, Sjoerd Stolwijk

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Conducting quantitative research (e.g., surveys, a large number of interviews, experiments) with the participation of political elites is typically challenging. Given that a population of political elites is typically small by definition, a particular challenge is obtaining a sufficiently high number of observations and, thus, a certain response rate. This paper focuses on two questions related to this challenge: (1) What are best practices for designing the study? And (2) what are best practices for soliciting the participation of political elites? To arrive at these best practices, we (a) examine which factors explain the variation in response rates across surveys within and between large-scale, multi-wave survey projects by statistically analyzing a newly compiled dataset of 342 political elite surveys from eight projects, spanning 30 years and 58 countries, (b) integrate the typically scattered findings from the existing literature and (c) discuss results from an original expert survey among researchers with experience with such research (n = 23). By compiling a comprehensive list of best practices, systematically testing some widely held believes about response rates and by providing benchmarks for response rates depending on country, survey mode and elite type, we aim to facilitate future studies where participation of political elites is required. This will contribute to our knowledge and understanding of political elites’ opinions, information processing and decision making and thereby of the functioning of representative democracies.
Original languageEnglish
Pages (from-to)1281–1317
JournalQuality and Quantity
Volume55
Early online date2020
DOIs
Publication statusPublished - 2021

Keywords

  • Political elites
  • Surveys
  • Experiments
  • Large-n interviews
  • Methodology

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