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Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
Surveys02:16

Surveys

Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.

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Related Experiment Video

Updated: May 29, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

[Development of the Risk Assessment Suicidality Scale (RASS): a population-based study].

K N Fountoulakis, E Pantoula, M Siamouli

    Psychiatrike = Psychiatriki
    |September 6, 2011
    PubMed
    Summary
    This summary is machine-generated.

    Researchers developed a new self-report scale to assess suicidal risk. This reliable and valid instrument, the Risk Assessment and Suicide Scale (RASS), aids in evaluating suicidal ideation in diverse populations.

    Related Experiment Videos

    Last Updated: May 29, 2026

    Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
    07:31

    Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

    Published on: May 15, 2020

    Area of Science:

    • Psychiatry
    • Public Health
    • Psychometrics

    Background:

    • Suicide and suicide attempts represent significant public health challenges.
    • Effective prevention strategies require comprehensive instruments to assess suicidal behavior.
    • Existing tools may focus on clinical features rather than the behavior itself.

    Purpose of the Study:

    • To develop a user-friendly, self-report instrument for assessing suicide-related behaviors.
    • To create a scale emphasizing direct descriptions of suicidal behavior.
    • To validate the instrument in a general population sample.

    Main Methods:

    • A 12-item scale (Risk Assessment and Suicide Scale - RASS) was developed.
    • The scale was administered to 734 general population participants.
    • Factor analysis and reliability analyses (Cronbach's alpha) were conducted.

    Main Results:

    • Factor analysis identified three factors: Intention, Life, and History, explaining 59.19% of the variance.
    • Cronbach's alpha coefficients were 0.85 (Intention), 0.69 (Life), and 0.52 (History).
    • The RASS demonstrated reliability and validity for assessing suicidal risk.

    Conclusions:

    • The Risk Assessment and Suicide Scale (RASS) is a reliable and valid tool.
    • The RASS can be valuable for assessing suicidal risk in both general and clinical populations.
    • This instrument facilitates research into the multifaceted factors of suicidal behavior.