Related Experiment Video
Updated: Jul 28, 2026

05:03
Social Threat-Safety Test Uncovers Psychosocial Stress-Related Phenotypes
Published on: December 15, 2023
The odds of resilience
1Department of Psychology, Michigan State University, East Lansing, 48824-1117, USA. voneye@pilot.msu.edu
Child Development
|August 23, 2000
Summary
This study offers research designs to explore resilience, presenting sample hypotheses using odds ratios. These methods aid in understanding factors influencing resilience across various contexts.
Area of Science:
- Psychology
- Sociology
- Environmental Science
Background:
- Resilience is a critical factor in understanding adaptation to adversity.
- Investigating resilience requires robust research designs and quantifiable hypotheses.
- Existing research often lacks standardized methodologies for resilience studies.
Discussion:
- This article proposes adaptable research designs for resilience investigations.
- It details sample hypotheses framed as odds ratios for empirical testing.
- The designs facilitate quantitative analysis of resilience factors.
Key Insights:
- Sample research designs for resilience are presented.
- Hypotheses are formulated using odds ratios for clear interpretation.
- The framework supports diverse resilience research questions.
Outlook:
- These designs can be applied to various fields, including psychology and environmental studies.
- Further research can refine these methodologies for broader application.
- The study aims to advance the quantitative understanding of resilience.
Related Concept Videos
Probability Laws
Overview
Life Histories
Constrained by limited energy and resources, organisms must compromise between offspring quantity and parental investment. This trade-off is represented by two primary reproductive strategies; K-strategists produce few offspring but provide substantial parental support, whereas r-strategists produce much progeny that receives little care. These strategies are related to an organism’s survival likelihood across its lifespan, which is represented by a survivorship curve. Three general types of...
Odds Ratio
The odds ratio (OR) is a statistical measure used extensively in epidemiology and research to quantify the strength of association between exposure and outcome across different groups. Unlike relative risk, which compares the probabilities of an event occurring, the odds ratio compares the odds of an event occurring in the exposed group to the odds of it occurring in the unexposed group. The odds, in this context, are calculated as the probability of the event happening divided by the...
Assumptions of Survival Analysis
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
Stress Prevention and Stress Management Techniques II
Personality types, particularly Type A and Type B, significantly influence how individuals respond to stress. These personality distinctions are marked by varying levels of ambition, competitiveness, and coping styles, all of which shape an individual's resilience to stressors.
Type A Personality: Driven and Easily Stressed
Individuals with Type A personalities are often highly competitive and ambitious and operate with a strong sense of urgency. Commonly labeled as "workaholics," they...
Type A Personality: Driven and Easily Stressed
Individuals with Type A personalities are often highly competitive and ambitious and operate with a strong sense of urgency. Commonly labeled as "workaholics," they...
Unrealistic Optimism Bias
Unrealistic optimism bias is the tendency to overestimate the likelihood of positive outcomes. This cognitive bias makes individuals believe they are less likely to experience failures, setbacks, or risks and more likely to succeed than others. For example, people may assume they are less prone to health issues, accidents, or financial struggles than their peers, even when they share similar risk factors.One key component of this bias is the above-average effect, where individuals perceive...

