Related Experiment Video
Updated: Nov 9, 2025

09:12
The Resident-intruder Paradigm: A Standardized Test for Aggression, Violence and Social Stress
Published on: July 4, 2013
71.8K
Firearms and violence in Europe-A systematic review
Katharina Krüsselmann1, Pauline Aarten1, Marieke Liem1
1Institute of Security and Global Affairs, Leiden University, Leiden, The Netherlands.
Plos One
|April 14, 2021
Summary
Research on firearm availability and violence in Europe is limited. This systematic review highlights the need for consistent methods to improve understanding of firearm violence across European countries.
Area of Science:
- Criminology
- Public Health
- Sociology
Background:
- Previous studies link firearm availability to interpersonal violence, primarily in the US or using aggregated international data.
- The applicability of these findings to continental Europe remains unclear.
- This review focuses on studies exclusively using European data.
Purpose of the Study:
- To systematically review existing European studies on firearm availability and violence.
- To identify gaps and inconsistencies in current research.
- To inform future research methodologies for better comparability.
Main Methods:
- A systematic search of nine databases yielded over 1900 studies.
- Studies were screened for relevance and eligibility based on title, abstract, and full text.
- Data on study characteristics, operationalizations, and results were extracted from six eligible studies.
Main Results:
- Four studies examined firearm restrictive regulations' impact on homicide rates.
- Two studies correlated firearm availability and violence rates.
- Findings were varied, with some showing declines after restrictions and others indicating limited effects on specific subgroups; methodological inconsistencies were noted.
Conclusions:
- Empirical research using exclusively European data is scarce.
- Methodological inconsistencies and regional gaps hinder comparability.
- Developing reliable and valid proxies for firearm availability is crucial for future research.
Related Concept Videos
Bias in Epidemiological Studies
925
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
925
Aggression
29.1K
Humans engage in aggression when they seek to cause harm or pain to another person. Aggression takes two forms depending on one’s motives: hostile or instrumental. Hostile aggression is motivated by feelings of anger with intent to cause pain; a fight in a bar with a stranger is an example of hostile aggression. In contrast, instrumental aggression is motivated by achieving a goal and does not necessarily involve intent to cause pain (Berkowitz, 1993); a contract killer who murders for...
29.1K
Group Design
9.9K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
9.9K
Ethics in Research
25.0K
Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
25.0K
Chi-square Analysis
41.3K
The chi-square test is a statistical hypothesis test. It is used to check whether there is a significant difference between an expected value and an observed value. In the context of genetics, it enables us to either accept or reject a hypothesis, based on how much the observed values deviate from the expected values.
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
41.3K
Systematic Error: Methodological and Sampling Errors
6.1K
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
6.1K

