G2TT
来源类型Publication
Speaking on Data’s Behalf: What Researchers Say and How Audiences Choose
Jesse J. Chandler; Ignacio Martinez; Mariel M. Finucane; Jeffrey G. Terziev; and Alexandra M. Resch
发表日期2019-03-13
出版者Evaluation Review (online ahead of print)
出版年2019
语种英语
概述Bayesian statistics have become popular in the social sciences, in part because they are thought to present more useful information than traditional frequentist statistics.",
摘要

Background. Bayesian statistics have become popular in the social sciences, in part because they are thought to present more useful information than traditional frequentist statistics. Unfortunately, little is known about whether or how interpretations of frequentist and Bayesian results differ.

Objectives. We test whether presenting Bayesian or frequentist results based on the same underlying data influences the decisions people made.

Research design. Participants were randomly assigned to read Bayesian and frequentist interpretations of hypothetical evaluations of new education technologies of various degrees of uncertainty, ranging from posterior probabilities of 99.8% to 52.9%, which have equivalent frequentist p values of .001 and .65, respectively.

Subjects. Across three studies, 933 U.S. adults were recruited from Amazon Mechanical Turk.

Measures. The primary outcome was the proportion of participants who recommended adopting the new technology. We also measured respondents’ certainty in their choice and (in Study 3) how easy it was to understand the results.

Results. When presented with Bayesian results, participants were more likely to recommend switching to the new technology. This finding held across all degrees of uncertainty, but especially when the frequentist results reported a p value >.05. Those who recommended change based on Bayesian results were more certain about their choice. All respondents reported that the Bayesian display was easier to understand.

Conclusions. Presenting the same data in either frequentist or Bayesian terms can influence the decisions that people make. This finding highlights the importance of understanding the impact of the statistical results on how audiences interpret evaluation results.

URLhttps://www.mathematica.org/our-publications-and-findings/publications/speaking-on-datas-behalf-what-researchers-say-and-how-audiences-choose
来源智库Mathematica Policy Research (United States)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/489511
推荐引用方式
GB/T 7714
Jesse J. Chandler,Ignacio Martinez,Mariel M. Finucane,等. Speaking on Data’s Behalf: What Researchers Say and How Audiences Choose. 2019.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Jesse J. Chandler]的文章
[Ignacio Martinez]的文章
[Mariel M. Finucane]的文章
百度学术
百度学术中相似的文章
[Jesse J. Chandler]的文章
[Ignacio Martinez]的文章
[Mariel M. Finucane]的文章
必应学术
必应学术中相似的文章
[Jesse J. Chandler]的文章
[Ignacio Martinez]的文章
[Mariel M. Finucane]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。