然后发生了一件奇迹:原因,效果和刑事司法研究的异质性
Brandon Del Pozo1, Steven Belenko2, Faye S Taxman3
1Division of General Internal Medicine, The Warren Alpert Medical School of Brown University, Rhode Island Hospital, 111 Plain Street, Providence, RI 02903 USA.
概括
随机对照试验 (RCT) 在刑事司法研究中可能并没有固有的缺陷. 这项分析批评了RCT的元分析,建议对复杂的社会问题需要更严格的设计.
科学领域:
- 社会科学 社会科学 社会科学
- 刑事司法研究 刑事司法研究
- 研究方法研究方法研究方法学
背景情况:
- 梅根·斯蒂文森的2023年工作认为随机对照试验 (RCT) 由于社会世界的复杂性,在刑事司法中无效.
- 史蒂文森驳斥了RCT的"工程师观点",并主张采用不那么严格,更广泛的改革方法.
- 这篇批评考察了史蒂文森的论点,将其描述为对刑事司法RCT的启发式元分析.
研究的目的:
- 评估史蒂文森对刑事司法随机对照试验 (RCT) 的元分析的有效性.
- 为了证明史蒂文森的启发式分析违反了已建立的元分析协议,通过汇集异构的研究.
- 提出替代的,更全面的研究设计,以了解复杂的社会干预.
主要方法:
- 描述史蒂文森的论点作为事实上的,叙事格式的元分析.
- 在元分析中,分析禁止将具有异质设计,干预措施,结果和指标的研究组合在一起的禁令.
- 证明史蒂文森把多样化的研究汇集在一起,使她的经验性主张成为问题.
主要成果:
- 史蒂文森的元分析被认为是有问题的,因为它把异质的刑事司法RCT放在一起,违反了方法论标准.
- 虽然许多刑事司法RCT显示无效或弱的结果,复制是具有挑战性的,但这并不是该领域独有的.
- 较不严格的改革方法无法解决已确定的问题;需要更全面的设计.
结论:
- 史蒂文森的结论是,RCT本质上无法改变刑事司法,这一结论受到质疑.
- 提出了更严格的研究设计,例如从医学和公共卫生中调整的混合实施/有效性试验.
- 这些先进的方法可以揭示影响外部有效性和通用性的因素,有助于修改弹性人类行为.
相关概念视频
Cause and Effect
11.4K
While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?
11.4K
Causality in Epidemiology
882
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
882
Bias
5.0K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
5.0K
Confounding in Epidemiological Studies
267
Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
267
Statistical Significance
20.4K
Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
20.4K
Case Studies
12.1K
There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
12.1K


