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Related Concept Videos

Sampling Plans01:23

Sampling Plans

Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Cluster Sampling Method01:20

Cluster Sampling Method

Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
Psychological and Sociocultural Causes of Schizophrenia01:29

Psychological and Sociocultural Causes of Schizophrenia

Schizophrenia, a complex psychiatric disorder, has been historically misunderstood. Early psychological theories attributed its origins to childhood trauma and unresponsive parenting. However, contemporary research largely rejects these notions, favoring the vulnerability-stress hypothesis. This model proposes that individuals with a genetic predisposition to schizophrenia may develop the disorder following exposure to significant environmental stressors. Notably, studies on high-risk...
In- and Out-Groups01:31

In- and Out-Groups

People all belong to a gender, race, age, and social economic group. These groups provide a powerful source of our identity and self-esteem (Tajfel & Turner, 1979) and serve as our in-groups. An in-group is a group that we identify with or see ourselves as belonging to.
Theoretical Approaches to Psychological Disorder01:29

Theoretical Approaches to Psychological Disorder

The development of psychological disorders, which are characterized by deviant, maladaptive, and personally distressing behaviors, has been explored through several theoretical approaches.
Biological approach
The biological approach posits that internal, organic factors are the primary causes of such disorders. This perspective emphasizes brain structure and function, genetic predispositions, and neurotransmitter imbalances. For example, schizophrenia has been associated with both genetic...
How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...

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Related Experiment Video

Updated: May 23, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

Suicide clusters: introducing a novel type of categorization.

Mohsen Rezaeian1

  • 1Social Medicine Department, Rafsanjan Medical School, Rafsanjan University of Medical Sciences, Iran. moeygmr2@yahoo.co.uk

Violence and Victims
|March 30, 2012
PubMed
Summary

Suicide clusters are defined by their proximity in time and space. This study explores their unique patterns and proposes a new categorization for understanding these events in diverse settings.

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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

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Published on: February 15, 2017

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Area of Science:

  • Public Health
  • Epidemiology
  • Psychiatry

Background:

  • Suicide clusters are defined as suicides or attempts occurring closer in time and space than expected.
  • The perception of clustering can act as a risk factor, distinguishing suicide clusters from other event clusters.
  • Understanding these unique patterns is crucial for effective community intervention.

Purpose of the Study:

  • To discuss the unique epidemiological patterns of suicide clusters.
  • To introduce a novel categorization for suicide cluster studies.
  • To highlight challenges and emphasize rapid community response.

Main Methods:

  • Review and synthesis of existing literature on suicide clusters.
  • Analysis of studies investigating suicide clusters in various settings.
  • Development of a new classification framework.

Main Results:

  • Suicide clusters exhibit distinct temporal and spatial characteristics.
  • A novel categorization system is proposed to accommodate diverse study approaches.
  • Identified challenges in current suicide cluster research.

Conclusions:

  • Suicide clusters present unique challenges due to the influence of perception.
  • The proposed categorization aids in understanding diverse suicide cluster phenomena.
  • Emphasizes the need for prompt and appropriate community action in response to perceived clusters.