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Related Concept Videos

Cross-Sectional Research01:50

Cross-Sectional Research

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
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.
Depressive Disorders: Etiology01:27

Depressive Disorders: Etiology

Depressive disorders result from a complex interplay of biological, psychological, and sociocultural factors, each contributing uniquely to the development and persistence of the condition. Understanding these factors provides critical insight into the multifaceted nature of depression.
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
Theory of Attribution II: Kelley's Covariation Theory01:29

Theory of Attribution II: Kelley's Covariation Theory

Attribution theory plays a crucial role in social psychology, helping to explain how individuals interpret the causes of behavior. One prominent model within this field is Harold Kelley's covariation theory, which provides a systematic approach to determining whether internal traits or external circumstances drive a person's actions. The model posits that individuals rely on three key types of information—consensus, consistency, and distinctiveness—to make these judgments.Consensus: Comparing...
Reliability and Validity01:29

Reliability and Validity

Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
Factorial Design02:01

Factorial Design

Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...

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Related Experiment Videos

Suicide ideation among college students: a multivariate analysis.

Amelia M Arria1, Kevin E O'Grady, Kimberly M Caldeira

  • 1Center for Substance Abuse Research, University of Maryland, College Park, 4321 Hartwick Rd., College Park, MD 20740, USA . aarria@cesar.umd.edu

Archives of Suicide Research : Official Journal of the International Academy for Suicide Research
|July 11, 2009
PubMed
Summary

Six percent of first-year college students reported suicide ideation. Key predictors included depressive symptoms, low social support, and affective dysregulation, highlighting targets for early intervention.

Related Experiment Videos

Area of Science:

  • Psychiatry
  • Mental Health
  • Epidemiology

Background:

  • Suicide ideation is a significant concern among college students.
  • Existing models may not fully capture the complexity of suicide risk in this population.

Purpose of the Study:

  • To develop and test a multi-dimensional model explaining suicide ideation in first-year college students.
  • Identify key risk factors for suicide ideation beyond traditional diagnostic criteria.

Main Methods:

  • Conducted face-to-face interviews with 1,249 first-year college students.
  • Utilized a multi-dimensional approach to assess various psychological and social factors.
  • Examined associations between predictors and current suicide ideation.

Main Results:

  • An estimated 6% of first-year students reported current suicide ideation.
  • Depressive symptoms, low social support, affective dysregulation, and father-child conflict were independently associated with suicide ideation.
  • Alcohol use disorder was also a significant independent predictor; parental conflict was not.

Conclusions:

  • A significant portion of college students experience suicide ideation, often without meeting full criteria for depression.
  • Low social support and affective dysregulation are crucial predictors, especially in students with fewer depressive symptoms.
  • Findings suggest targeted interventions focusing on social support, emotional regulation, and alcohol use disorder may be effective.