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Process vs. Outcome? How to Evaluate the Effects of Participatory Processes on Legitimacy Perceptions

Published online by Cambridge University Press:  02 December 2020

Hannah Werner*
Affiliation:
Department of Political Science, KU Leuven, Leuven, Belgium
Sofie Marien
Affiliation:
Department of Political Science, KU Leuven, Leuven, Belgium
*
*Corresponding author. E-mail: hannah.werner@kuleuven.be
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Abstract

The potential for participatory processes to address deficits in perceptions of legitimacy is strongly debated. This letter discusses how to evaluate the effects of participatory procedures. It argues that participatory processes should not be compared to normative ideals about how citizens should behave, but rather to the status quo of representative decision making. The authors use the example of winner–loser gaps in perceptions of fairness to illustrate the importance of evaluation frameworks, drawing on twelve experiments from the Netherlands and Sweden (total N = 5,352). The study shows that the choice of benchmarks matters substantially for the interpretation of process effects. When comparing participatory processes to the status quo of representative decision making, it finds higher fairness perceptions for a participatory process than for a representative process across all twelve experiments, even when the outcomes are unfavourable.

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Type
Letter
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press
Figure 0

Table 1. Overview of experimental studies

Figure 1

Table 2. Explaining fairness perceptions across treatment groups for Study 1

Figure 2

Figure 1. Overview of effects of participatory process on fairness perceptions across studies.Note: coefficients for the column ‘average’ are the results of an ordinary least squares (OLS) regression with robust standard errors clustered by study; OLS with clustered robust standard errors for studies 7 and 8 (clustered by class); OLS regressions for all other studies. Unstandardized coefficients are presented, fairness perceptions range from 0–1, error bars present 95 per cent confidence intervals. See Appendix Table B1 for an overview of the main effects across studies.

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