2010
DOI: 10.3386/w15701
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So you want to run an experiment, now what? Some Simple Rules of Thumb for Optimal Experimental Design

Abstract: Experimental economics represents a strong growth industry. In the past several decades the method has expanded beyond intellectual curiosity, now meriting consideration alongside the other more traditional empirical approaches used in economics. Accompanying this growth is an influx of new experimenters who are in need of straightforward direction to make their designs more powerful. This study provides several simple rules of thumb that researchers can apply to improve the efficiency of their experimental de… Show more

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Cited by 85 publications
(127 citation statements)
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“…However, implementing experiments on a large sample, especially with twins, is difficult. Sample size has been a concern, particularly for studies involving controlled experiments (see, e.g., List, Sadoff, andManiadis, Tufano, andList, 2014). For example, List,20 See Li, Liu, and Zhang (2012) for a detailed description of the quality of CATS data.…”
Section: Scientific Validitymentioning
confidence: 99%
“…However, implementing experiments on a large sample, especially with twins, is difficult. Sample size has been a concern, particularly for studies involving controlled experiments (see, e.g., List, Sadoff, andManiadis, Tufano, andList, 2014). For example, List,20 See Li, Liu, and Zhang (2012) for a detailed description of the quality of CATS data.…”
Section: Scientific Validitymentioning
confidence: 99%
“…Within each of these bins, individuals were randomly assigned to treatment conditions. This type of stratified random assignment algorithm (or randomization within blocks) ensures balanced samples across experimental conditions along the dimensions of stratification and typically decreases variance in estimated treatment effects (List et al 2010). 4 We worked with undergraduate research assistants to develop nonacademic language that would resonate with participants and encourage them to select stimuli that met the criteria of theoretical interest in this research.…”
Section: Methodsmentioning
confidence: 99%
“…4 Such a factorial design (List et al, 2010), in which the sample is split evenly between the treatment and the control group, is ideally suited for cases where the variance of the outcome (in this case, the variance of the various welfare measures) is constant across the treatment and the control group, which is unfortunately not the case in this context.…”
mentioning
confidence: 99%