What Have We Learned About Gender From Candidate Choice Experiments?  A Meta-analysis of 67 Factorial Survey Experiments

2021 ◽  
Author(s):  
Susanne Schwarz ◽  
Alexander Coppock
Keyword(s):  
Meta Analysis ◽  
Choice Experiments ◽  
Factorial Survey ◽  
Survey Experiments

What Can We Learn From Factorial Surveys About Human Behavior?

Methodology ◽  
2019 ◽  
Vol 15 (1) ◽  
pp. 19-30 ◽  
Author(s):  
Knut Petzold ◽  
Tobias Wolbring
Keyword(s):  
Social Sciences ◽  
Behavioral Intentions ◽  
Actual Behavior ◽  
Full Time ◽  
Factorial Survey ◽  
Survey Experiment ◽  
Intended Behavior ◽  
The Social ◽  
Survey Experiments ◽  
High Level

Abstract. Factorial survey experiments are increasingly used in the social sciences to investigate behavioral intentions. The measurement of self-reported behavioral intentions with factorial survey experiments frequently assumes that the determinants of intended behavior affect actual behavior in a similar way. We critically investigate this fundamental assumption using the misdirected email technique. Student participants of a survey were randomly assigned to a field experiment or a survey experiment. The email informs the recipient about the reception of a scholarship with varying stakes (full-time vs. book) and recipient’s names (German vs. Arabic). In the survey experiment, respondents saw an image of the same email. This validation design ensured a high level of correspondence between units, settings, and treatments across both studies. Results reveal that while the frequencies of self-reported intentions and actual behavior deviate, treatments show similar relative effects. Hence, although further research on this topic is needed, this study suggests that determinants of behavior might be inferred from behavioral intentions measured with survey experiments.

scholarly journals The Impact of Environmental Sustainability Labels on Willingness-to-Pay for Foods: A Systematic Review and Meta-Analysis of Discrete Choice Experiments

Nutrients ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 2677
Author(s):  
Anastasios Bastounis ◽  
John Buckell ◽  
Jamie Hartmann-Boyce ◽  
Brian Cook ◽  
Sarah King ◽  
...  
Keyword(s):  
Willingness To Pay ◽  
Discrete Choice ◽  
Environmental Sustainability ◽  
Purchasing Power Parity ◽  
Meta Analysis ◽  
Choice Experiments ◽  
Discrete Choice Experiments ◽  
Environmental Damage ◽  
Environmentally Sustainable ◽  
The Impact

Food production is a major contributor to environmental damage. More environmentally sustainable foods could incur higher costs for consumers. In this review, we explore whether consumers are willing to pay (WTP) more for foods with environmental sustainability labels (‘ecolabels’). Six electronic databases were searched for experiments on consumers’ willingness to pay for ecolabelled food. Monetary values were converted to Purchasing Power Parity dollars and adjusted for country-specific inflation. Studies were meta-analysed and effect sizes with confidence intervals were calculated for the whole sample and for pre-specified subgroups defined as meat-dairy, seafood, and fruits-vegetables-nuts. Meta-regressions tested the role of label attributes and demographic characteristics on participants’ WTP. Forty-three discrete choice experiments (DCEs) with 41,777 participants were eligible for inclusion. Thirty-five DCEs (n = 35,725) had usable data for the meta-analysis. Participants were willing to pay a premium of 3.79 PPP$/kg (95%CI 2.7, 4.89, p ≤ 0.001) for ecolabelled foods. WTP was higher for organic labels compared to other labels. Women and people with lower levels of education expressed higher WTP. Ecolabels may increase consumers’ willingness to pay more for environmentally sustainable products and could be part of a strategy to encourage a transition to more sustainable diets.

Factorial Survey Experiments

2015 ◽  
Author(s):  
Katrin Auspurg ◽  
Thomas Hinz
Keyword(s):  
Factorial Survey ◽  
Survey Experiments

A Meta-analysis of the Relative Effectiveness of the Item Count Technique Compared to Direct Questioning

2019 ◽  
pp. 004912411988246
Author(s):  
Jiayuan Li ◽  
Wim Van den Noortgate
Keyword(s):  
Meta Analysis ◽  
Relative Effectiveness ◽  
Cultural Orientation ◽  
Effect Sizes ◽  
Discussion Section ◽  
Survey Experiments ◽  
Item Count Technique

This article presents an updated meta-analysis of survey experiments comparing the performance of the item count technique (ICT) and the direct questioning method. After synthesizing 246 effect sizes from 54 studies, we find that the probability that a sensitive item will be selected is .089 higher when using ICT compared to direct questioning. In recognition of the heterogeneity across studies, we seek to explain this variation by means of moderator analyses. We find that the relative effectiveness of ICT is moderated by cultural orientation in the context in which ICT is conducted (collectivism vs. individualism), the valence of topics involved in the applications (socially desirable vs. socially undesirable), and the number of nonkey items. In the Discussion section, we elaborate on the methodological implications of the main findings.

scholarly journals Measurement of Fairness Perceptions in Energy Transition Research: A Factorial Survey Approach

2020 ◽  
Vol 12 (19) ◽  
pp. 8084
Author(s):  
Ulf Liebe ◽  
Geesche M. Dobers
Keyword(s):  
Renewable Energy ◽  
Energy Transition ◽  
Factorial Survey ◽  
Perceived Fairness ◽  
Energy Research ◽  
Production And Consumption ◽  
Energy Projects ◽  
Survey Experiments ◽  
Transition Research ◽  
Survey Approach

Justice and fairness are increasingly popular concepts in energy research and comprise several justice dimensions, including distributive and procedural justice, related to energy production and consumption. In this paper, we used factorial survey experiments—a method employed in sociological justice research—for energy transition research. In a factorial survey, respondents evaluated one or more situations described by several attributes, which varied in their levels. The experimental setup of factorial surveys is one of its advantages over simple survey items, as based on this, the relative importance of each attribute for justice evaluations can be determined. We employed the method in a study on the perceived fairness of renewable energy expansion projects related to wind energy, solar energy, and biomass in Germany, and considered aspects of procedural and distributive justice. We show that the effects of these justice dimensions can be separated and the heterogeneity in justice evaluations can be explained. Compared to previous studies applying factorial survey experiments to explain the acceptance of renewable energy projects, we employed the method to directly measure justice concerns and asked respondents to evaluate the vignettes in terms of perceived fairness. This is important because acceptance and fairness as well as inequality and injustice are different phenomena.

scholarly journals Using Factorial Survey Experiments to Measure Attitudes, Social Norms, and Fairness Concerns in Developing Countries

2017 ◽  
Vol 49 (1) ◽  
pp. 161-192 ◽  
Author(s):  
Ulf Liebe ◽  
Ismaïl M. Moumouni ◽  
Christine Bigler ◽  
Chantal Ingabire ◽  
Sabin Bieri
Keyword(s):  
Developing Countries ◽  
Social Norms ◽  
Social Science Research ◽  
Developed Countries ◽  
Global South ◽  
Physical Punishment ◽  
Remote Area ◽  
Factorial Survey ◽  
The Social ◽  
Survey Experiments

Survey-based experimental methods are increasingly used in the social sciences to study, among others, attitudes, norms, and fairness judgments. One of these methods is the factorial survey experiment (FSE or vignette experiment) in which respondents are confronted with various descriptions of situations that differ in a discrete number of attributes (or factors), and they are asked to evaluate those situations according to criteria such as agreement, approval, and fairness. Due to the systematic experimental variation of the presented situations, an FSE can separate effects of single situational attributes, allowing the causal influence of relevant situational attributes to be determined. This is the key advantage over simple survey items. While most studies using FSEs are carried out in developed countries in which respondents are familiar with surveys, we add further evidence that this method can also unfold its power in a developing context. Building on previous applications of FSEs in Africa, we demonstrate the usefulness of this method in four novel studies on social norms regarding the physical punishment of children and the social approval of technology adoption in Benin as well as judgments of just earnings in Rwanda. We also test for the first time the applicability of multiple vignettes per respondents in a Global South/remote area context. The results of these studies are theoretically meaningful and the overwhelming majority of respondents discriminate between vignettes. This supports the validity of FSEs. However, conducting survey experiments in developing countries is different from similar experimental research in developed countries and, therefore, we also discuss some of these differences and corresponding challenges. Last but not least, our article shows, provided a few precautions are heeded, that FSEs could be used as a vehicle to innovate social science research in a Global South/remote area context.

scholarly journals Choosing not to choose: A meta-analysis of status quo effects in environmental valuations using choice experiments

2018 ◽  
Vol 18 (1) ◽  
pp. 79 ◽  
Author(s):  
Jesus Barreiro-Hurle ◽  
Maria Espinosa-Goded ◽  
Jose Miguel Martinez-Paz ◽  
Angel Perni
Keyword(s):  
Environmental Policy ◽  
Discrete Choice ◽  
Meta Analysis ◽  
Choice Experiments ◽  
Status Quo ◽  
Discrete Choice Experiments ◽  
Choice Sets ◽  
The Status ◽  
Protest Responses ◽  
Environmental Valuations

<p>Discrete choice experiments (DCE) normally include in their choice sets an option described as the status quo (i.e. no change to current situation; SQ). The literature has identified Status Quo Effect (SQE) as the systematic preference of the SQ over the alternatives that propose changes over and beyond what can be captured by the variation of attributes’ levels. In this paper, we conduct a meta-analysis of DCE applied in environmental policy to identify potential drivers of SQE. We find that accounting for heterogeneity in the econometric analysis, excluding protest responses and easing the choice’s cognitive burden reduce the presence of SQE.</p>

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