The Progress and Pitfalls of Using Survey Experiments in Political Science

Author(s):  
Diana C. Mutz ◽  
Eunji Kim

Survey experiments are now quite common in political science. A recent analysis of the number of mentions of this term in political science journal articles demonstrates a dramatic increase from 2000 to 2013. In addition, the term survey experiment has been picked up by many other disciplines, by researchers in a variety of different countries. Given the large number of survey experiments already published, the goal here is not to review the numerous excellent studies using this methodology, because there are far too many, spanning too many different topics. Instead, this juncture—marked by both progress and the proliferation of this method—is used to highlight some of the issues that have arisen as this methodological approach has come of age. How might research using this methodology improve in political science? What are the greatest weaknesses of survey experimental studies in this discipline to date? The explosive growth of survey experiments in political science speaks to their popularity as a means of establishing causal inference. In his reflection on the origins of survey experiments, Paul Sniderman has suggested that their quick rise in popularity was due to two factors: a) their ability to meet expected standards of external validity within the discipline without sacrificing internal validity, and b) the lower marginal cost per study relative to studies that were representative national surveys. Collaborative data collection efforts such as the Multi-Investigator Project and Time-sharing Experiments for the Social Sciences (TESS) made it possible for more scholars to execute population-based survey experiments at a lower cost per study than traditional surveys. Using shared platforms, researchers can execute many experiments for the price of one representative survey. These explanations make perfect sense in the context of a field such as political science, where external validity traditionally has been valued more highly than internal validity. It may be surprising to younger colleagues to learn that, not all that long ago, experiments were deemed completely inappropriate within the discipline of political science, unless they were field experiments executed in the real world. Experiments involving interventions in naturally occurring political environments were deemed tolerable, but only political psychologists were likely to find experimentation more broadly acceptable due to their strong ties to psychology. In political science, survey experiments were a means of promoting experimental methods in an external-validity-oriented discipline. Survey experiments freed political scientists from college sophomores as subjects and promised that external validity need not be sacrificed for strong causal inference. Times have obviously changed, and political scientists now embrace a much broader array of methodologies including both observational and experimental methods. This occasion provides an opportunity to re-evaluate the strengths and weaknesses of this innovative method, in theory and in practice.

Author(s):  
Diana C. Mutz

This chapter talks about the significance of generalizability. Experimentalists often go to great lengths to argue that student or other convenience samples are not problematic in terms of external validity. Likewise, a convincing case for causality is often elusive with observational research, no matter how stridently one might argue to the contrary. The conventional wisdom is that experiments are widely valued for their internal validity, and experiments lack external validity. These assumptions are so widespread as to go without question in most disciplines, particularly those emphasizing external validity, such as political science and sociology. But observational studies, such as surveys, are still supposed to be better for purposes of maximizing external validity because this method allows studying people in real world settings.


2021 ◽  
Vol 937 (3) ◽  
pp. 032096
Author(s):  
A Ilinskiy ◽  
A Matveev ◽  
K Evsenkin

Abstract Experimental studies on the effectiveness of the use of new organo-mineral amendments obtained on the basis of biocompost to restore fertility and increase the productivity of degraded alluvial meadow medium loamy and sod-podzolic sandy loamy soils of reclaimed agricultural lands were carried out by the authors of the paper as part of the implementation of the state assignment of the Ministry of Science and Higher Education of the Russian Federation “To develop a scientific and methodological approach and new agro-meliorative methods for restoring the fertility of degraded reclaimed lands, reclaiming contaminated soils and disturbed pasture areas in the European part of Russia”. The studies included a series of long-term greenhouse and field experiments performed on the reclaimed lands of JSC “Moskovskoye” and the stationary site of the Meshchersky branch of the A.N. Kostyakov All-Russian Research Institute of Hydraulic Engineering and Land Reclamation, which resulted in new ways of restoring the fertility of degraded reclaimed agricultural land and low-productivity lands involved in agricultural circulation using multifunctional amendments for the conditions of the southern part of the Non-Black Earth Zone of Russia. At the end of the experimental studies, the authors developed a database, and then an information and reference Web-system that allows entering, storing, finding and analyzing information on ways to increase the soil fertility of degraded reclaimed agricultural land and low-productivity lands involved in agricultural circulation using biocompost based on the processing of organic waste. This software allows making scientifically based and timely decisions to restore fertility and increase soil productivity.


Author(s):  
Rajeev Dehejia

AbstractThis paper surveys six widely-used non-experimental methods for estimating treatment effects (instrumental variables, regression discontinuity, direct matching, propensity score matching, linear regression and non-parametric methods, and difference-in-differences), and assesses their internal and external validity relative both to each other and to randomized controlled trials. While randomized controlled trials can achieve the highest degree of internal validity when cleanly implemented in the field, the availability of large, nationally representative data sets offers the opportunity for a high degree of external validity using non-experimental methods. We argue that each method has merits in some context and they are complements rather than substitutes.


2002 ◽  
Vol 10 (4) ◽  
pp. 325-342 ◽  
Author(s):  
Rose McDermott

Experiments offer a useful methodological tool to examine issues of importance to political scientists. The historical and cultural differences between experiments in behavioral economics and social psychology are discussed. Issues of central concern to experimentalists are covered, including impact versus control, mundane versus experimental realism, internal versus external validity, deception, and laboratory versus field experiments. Advantages and disadvantages of experimentation are summarized.


2020 ◽  
Vol 56 (4) ◽  
pp. 587-607
Author(s):  
Hanna Kool ◽  
Jens A. Andersson ◽  
Ken E. Giller

AbstractAgronomists have increasingly conducted experiments on-farm, in an attempt to increase the wider applicability (external validity) of their experimental findings and their relevance for agricultural development. This review assesses the way in which on-farm experimental studies address the scope or generalisability of their findings when based on a limited number of farms. A central question is how on-farm studies define the environment or research population in which the on-farm trial findings are valid, or are valuable for. Such an assessment is, of course, conditional on the (internal) validity of the experimental findings. We therefore first analyse how authors of on-farm experimental studies describe the factors that may shape experimental outcomes. As agronomic experiments often use ‘yield’ as dependent variable to assess treatment effects, we developed a procedure to score studies on their descriptions of yield-determining factors. Although experimental validity principally rests upon the reproducibility of the experiment and its findings, we found that on the basis of the information provided in published on-farm experimental studies, it is often difficult or impossible to reproduce the experimental design. Nutrient management, weed management and crop information are best described, whereas land preparation, field history and management of pests and water are rarely described. Further, on-farm experimental studies often compare treatments to a ‘farmer practice’ reference or control treatment which is assumed to be widely and uniformly practiced and known to the reader. The wider applicability or external validity is often poorly addressed in the reviewed studies. Most do not explicitly define the research population and/or environment in which (they expect) the experimental findings to work. Academic textbooks on agronomic experimentation are remarkably silent on both the internal and external validity of on-farm experimentation. We therefore argue for more systematic investigations and descriptions of the research population and settings to which on-farm experimental studies seek to generalise their findings.


2012 ◽  
Vol 20 (4) ◽  
pp. 460-479 ◽  
Author(s):  
Ryan T. Moore

Political scientists use randomized treatment assignments to aid causal inference in field experiments, psychological laboratories, and survey research. Political research can do considerably better than completely randomized designs, but few political science experiments combine random treatment assignment with blocking on a rich set of background covariates. We describe high-dimensional multivariate blocking, including on continuous covariates, detail its statistical and political advantages over complete randomization, introduce a particular algorithm, and propose a procedure to mitigate unit interference in experiments. We demonstrate the performance of our algorithm in simulations and three field experiments from campaign politics and education.


BioScience ◽  
2021 ◽  
Author(s):  
Eric Desjardins ◽  
Joachim Kurtz ◽  
Nina Kranke ◽  
Ana Lindeza ◽  
S Helene Richter

Abstract Discussions of reproducibility are casting doubts on the credibility of experimental outcomes in the life sciences. Although experimental evolution is not typically included in these discussions, this field is also subject to low reproducibility, partly because of the inherent contingencies affecting the evolutionary process. A received view in experimental studies more generally is that standardization (i.e., rigorous homogenization of experimental conditions) is a solution to some issues of significance and internal validity. However, this solution hides several difficulties, including a reduction of external validity and reproducibility. After explaining the meaning of these two notions in the context of experimental evolution, we import from the fields of animal research and ecology and suggests that systematic heterogenization of experimental factors could prove a promising alternative. We also incorporate into our analysis some philosophical reflections on the nature and diversity of research objectives in experimental evolution.


2018 ◽  
Vol 17 (4) ◽  
pp. 497-507 ◽  
Author(s):  
Giada Di Stefano ◽  
Cédric Gutierrez

The rate at which experimental studies are published in the field of strategy has steadily increased over the past few years. Still, experimental papers account for only a small fraction of strategy papers. This may not come as a surprise given the skepticism surrounding the experimental method, which is often seen as uninterested in establishing external validity, and too “micro” for a field in which the level of analysis is primarily organizational and inter-organizational. Is this skepticism founded? To what extent can experiments be a useful tool for strategy research? To answer this question, we start by examining experimental strategy papers published between 1980 and 2016. Results from the analysis alleviate doubts about the suitability of experimental methods for the study of questions of strategic interest to firms. We next discuss the main advantages associated with the use of experiments and why they make strategy an exciting field in which to be an experimentalist today.


2018 ◽  
Vol 5 (2) ◽  
pp. 205316801876745 ◽  
Author(s):  
A. Burcu Bayram

A central concern for experimental studies is participant motivation, which is crucial for internal validity. When participants are not committed to the task, internal validity diminishes because responses might not be authentic. This study introduces and tests the seriousness technique as a method for increasing participant investment in political science experiments that use student samples. The seriousness technique aims at creating a sense of responsibility by telling students that their participation is important because science needs quality data. Results from a computer-assisted foreign policy decision-making experiment show that the seriousness technique increased the degree of information participants access during the foreign policy simulation and the time they spent on the study. These findings suggest that political scientists who use student samples in their experiments can nurture serious subjects by employing the seriousness technique. It is argued that the results should be of interest not only to experimentalists but also to all scholars who use human subjects, including survey researchers, in their research.


Author(s):  
Eyal Zamir ◽  
Doron Teichman

The chapter introduces behavioral law and economics. It is divided into three sections. The first section describes the history of behavioral law and economics since the late 1970s. The second section discusses the methodologies used in this sphere, including the emergence of empirical legal studies. Empirical legal studies include lab-experimental, observational, and field-experimental studies—the last category comprising randomized field experiments and natural experiments. Finally, the chapter analyzes the challenges facing this emerging, cross-disciplinary perspective. These challenges include critiques of the psychological studies that form the basis of behavioural law and economics, such as the issues of external validity of laboratory experiments. They also include difficulties in integrating behavioural insights into economic analysis of law.


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