Location still matters: Evidence from an online shopping field experiment

Morgan, John; Ong, David; Zhong, Zemin

doi:10.1016/j.jebo.2017.11.021

Cited by 3 publications

(1 citation statement)

References 28 publications

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“…Another example isCadsby et al (2010): "[…] we pooled the data from all three treatments together to allow for greater statistical power in analyzing the other possible manifestations of a gender effect." Similarly,Morgan et al (2018) argue: "To gain sufficient power to identify screen location effects at longer distances, we pool screen locations of distance 3 or greater." (5) Further points A few researchers described the researchers' budget as a limiting factor for the number of subjects included in the study Ziegelmeyer et al (2012),.…”

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confidence: 99%

Sample Size Calculation in Economic Experiments

Grüner

2019

SSRN Journal

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Clinical studies and economic experiments are often conducted with randomized controlled trials. In clinical studies, power calculations are carried out as a standard. But what's about economic experiments? After describing the basic idea of the calculation procedure, I tackle the practice of sample size calculations in the realm of experimental economics by considering the publications of 5 economic journals in the period 2000-2018. These are two top-ranked economic journals (Quarterly Journals of Economics and American Economic Review), the leading field journals in the area of experimental economics (Experimental Economics) and behavioral sciences (Journal of Economic Behavior and Organization), and a leading field journal in environmental economics (Environmental and Resource Economics). In contrast to clinical drug trials, sample size calculations have rarely been carried out by experimental economists. But the number of power calculations has slightly increased in recent years, especially in the leading journals of economics. However, this can be partly explained by the fact that field experiments (in which scholars pay more attention to power analyses than in lab experiments these days) play an important role in these journals.

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confidence: 99%

Sample Size Calculation in Economic Experiments

Grüner

2019

SSRN Journal

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Sample Size Calculation in Economic Experiments

Grüner

2020

Jahrbücher Für Nationalökonomie Und Statistik

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Clinical studies and economic experiments are often conducted with randomized controlled trials. In clinical studies, power calculations are carried out as a standard. But what’s about economic experiments? After describing the basic idea of the calculation procedure in a brief tutorial, I tackle the practice of sample size calculations in the field of experimental economics by considering the publications of 5 economic journals in the period 2000–2018. These are two top-ranked economic journals (Quarterly Journal of Economics and American Economic Review), the leading field journals in the area of experimental economics (Experimental Economics) and behavioral sciences (Journal of Economic Behavior and Organization), and a leading field journal in environmental economics (Environmental and Resource Economics). In contrast to clinical drug trials, sample size calculations have rarely been carried out by experimental economists. But the number of power calculations has slightly increased in recent years, especially in the top-ranked journals of economics. However, this can be partly explained by the fact that field experiments (in which scholars pay more attention to power analyses than in lab experiments these days) play an important role in these journals.

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Consumer search patterns in online retailing

Dreneva,

Orquin

2024

Preprint

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Location still matters: Evidence from an online shopping field experiment

Cited by 3 publications

References 28 publications

Sample Size Calculation in Economic Experiments

Sample Size Calculation in Economic Experiments

Sample Size Calculation in Economic Experiments

Consumer search patterns in online retailing

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