Population-Based Survey Experiments

By Diana C. Mutz. 2011

737 citations recorded by the source corpus.

Subfields: Political Science and International Relations

View Paper: https://www.semanticscholar.org/paper/a527530bd610f34f8e614a92a6119aa25f98ca24

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In Political Science and International Relations

Citations in the corpus

What Voters Want: Reactions to Candidate Characteristics in a Survey Experiment (2014, background): “They allow us to separate out confounding effects much more neatly than is possible using ordinary survey methods (Mutz, 2011).”
Cognitive Biases in Performance Evaluations (2016, background): “Experiments have the advantage of being able to identify the causal effect of different treatments and rule out the possibilities of endogeneity (Mutz 2011).”
Testing the Double Standard for Candidate Emotionality: Voter Reactions to the Tears and Anger of Male and Female Politicians (2011, methodology): “For a detailed discussion of why control variables are not necessary and why ANOVA is generally the preferred method of analysis for experiments when interactions are involved, see Mutz (2011). At any rate, using OLS or ordered probit does not affect the results, nor does including or excluding a st”
National Culture and Social Desirability Bias in Measuring Public Service Motivation (2016, result): “Contrary to the traditional psychology experiment, more heterogeneous groups are included, which by design implies stronger statistical power (Mutz, 2011).”
The Generalizability of Survey Experiments* (2015, methodology): “Keywords: Survey experiments, sampling, causal inference ∗The authors acknowledge support from a National Science Foundation grant for Time-Sharing Experiments in the Social Sciences (SES-1227179).”
Cross-Sample Comparisons and External Validity (2014, background): “Experiments have become increasingly popular in political science (Druckman et al. 2006; Mutz 2011).”
Economic expectations and support for secession in Catalonia: between causality and rationalization (2014, methodology): “We designed a survey experiment (Mutz, 2011) in which respondents were randomly presented with different credible scenarios on the economic consequences of a hypothetical secession.”
No Harm in Checking: Using Factual Manipulation Checks to Assess Attentiveness in Experiments (2018, background): “For example, Mutz (2011, 85) states, “In some cases, manipulation checks are inserted directly after a treatment, but more often they are included after measuring the dependent variable, so that the researcher does not call undue attention to the stimulus or create a demand for certain kinds of…”
Improving the External Validity of Conjoint Analysis: The Essential Role of Profile Distribution (2021, neutral): “We note that our focus is on the external validity of conjoint profiles , and is distinct from another important issue of representativeness of respondents in survey experiments (see, e.g., Mutz, 2011; Mullinix et al. , 2015; Coppock, Leeper, and Mullinix, 2018; Miratrix et al. , 2018).”
Worth Weighting? How to Think About and Use Weights in Survey Experiments (2017, methodology): “Keywords: survey design, survey experiments, causal inference, generalizability 1 Introduction Population-based survey experiments have become increasingly common in political science in recent decades (Gaines, Kuklinski, andQuirk 2007;Mutz 2011; Sniderman2011).”
Field experiments across the social sciences (2017, background): “What We Do Not Cover Primarily because of space constraints, we exclude from this review population-based survey experiments (Sniderman & Grob 1996, Mutz 2011) and natural experiments (Dunning 2012).”