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Related Concept Videos

Bias01:22

Bias

5.0K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
5.0K
Community Based Intervention01:30

Community Based Intervention

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Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
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Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

2.4K
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...
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Ethics in Research01:56

Ethics in Research

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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.
24.0K
Naturalistic Observations02:30

Naturalistic Observations

16.0K
If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
16.0K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

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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:  
697

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Updated: Sep 16, 2025

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
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The Fallacy of Community-Based Research.

Simar S Bajaj1, Jaeah Kim2, Fatima Cody Stanford3

  • 1Stanford University School of Medicine, Palo Alto, CA, USA.

Journal of General Internal Medicine
|July 8, 2025
PubMed
Summary
This summary is machine-generated.

Community-based research can foster equitable partnerships but faces challenges in engagement and funding. Reforms are needed for sustained collaboration and accountability to achieve better public health outcomes.

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Area of Science:

  • Public Health
  • Community-Engaged Research
  • Health Equity

Background:

  • Community-based research (CBR) aims for equitable partnerships with marginalized communities.
  • Current CBR practices often suffer from superficial engagement and systemic inequities.
  • This disconnect hinders the potential of CBR for impactful public health outcomes.

Discussion:

  • Ethical, procedural, and structural shortcomings impede effective CBR.
  • Institutional review boards and funding mechanisms require reform.
  • Sustained community engagement, power-sharing, and accountability are crucial.

Key Insights:

  • Stated goals of CBR often diverge from actual implementation.
  • Systemic inequities in funding and representation undermine partnerships.
  • Reimagining research as a collaborative, long-term endeavor is essential.

Outlook:

  • Reformed institutional processes can enhance CBR effectiveness.
  • Achieving genuine collaboration requires addressing power dynamics.
  • Just and effective public health outcomes depend on equitable research practices.