相关实验视频
Updated: Jan 17, 2026

06:01
Transcranial Direct Current Stimulation for Online Gamers
Published on: November 9, 2019
8.5K
犯罪与机会:了解社区犯罪与博之间的关系
Rejoice E A Churchill1, Ernest Amankwah2, Sefa Awaworyi Churchill3
1School of Public Health, University of Queensland, QLD, Australia.
Public health
|September 18, 2025
概括
增加的社区犯罪与更大的博危害有关. 这种关联是由信任和安全等社会资本因素调解的,这突显了社区福祉在博预防中的重要性.
科学领域:
- 公共卫生 公共卫生
- 犯罪学 犯罪学
- 社会经济学 社会经济学
背景情况:
- 博是一种主要的公共卫生问题,具有复杂的社会经济根源.
- 以前的研究集中在博对犯罪的影响上,而不是相反.
- 邻里犯罪和博行为之间的关系未被充分探索.
研究的目的:
- 调查社区犯罪率对博行为的影响.
- 检查社会资本在犯罪博关系中的调解作用.
主要方法:
- 利用了来自澳大利亚家庭,收入和劳动力动力学调查 (HILDA) 的纵向数据.
- 将HILDA数据与邮政编码级别的官方警察统计数据合并.
- 采用固定效应回归模型来控制遗漏变量和住宅分类.
主要成果:
- 社区犯罪的增加与博相关的伤害增加有显著的关联 (B=0.021,95% CI [0.002,0.041]).
- 结果在各种测试中保持稳定,包括替代博指标和犯罪类型.
- 社会资本指标 (感知到的信任,安全,心理健康) 被确定为关键调解者.
结论:
- 对博危害的干预应针对更广泛的社会环境.
- 社区安全和社会凝聚力是公共卫生战略中需要考虑的关键因素.
- 减少犯罪可能是缓解博相关伤害的间接途径.
相关概念视频
Cause and Effect
12.1K
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?
12.1K
Bias
7.2K
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...
7.2K
Correlations
35.8K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
35.8K
Hypothesis Test for Test of Independence
7.4K
The test of independence is a chi-square-based test used to determine whether two variables or factors are independent or dependent. This hypothesis test is used to examine the independence of the variables. One can construct two qualitative survey questions or experiments based on the variables in a contingency table. The goal is to see if the two variables are unrelated (independent) or related (dependent). The null and alternative hypotheses for this test are:
H0: The two variables (factors)...
H0: The two variables (factors)...
7.4K
Bystander Effect
10.2K
The discussion of bullying highlights the problem of witnesses not intervening to help a victim. This is a common occurrence, as the following well-publicized event demonstrates. In 1964, in Queens, New York, a 19-year-old woman named Kitty Genovese was attacked by a person with a knife near the back entrance to her apartment building and again in the hallway inside her apartment building. When the attack occurred, she screamed for help numerous times and eventually died from her stab wounds.
10.2K
Correlation and Causation
41.8K
Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
41.8K

