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Related Concept Videos

Bias01:22

Bias

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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...
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Archival Research01:40

Archival Research

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Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
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Naturalistic Observations02:30

Naturalistic Observations

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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...
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Survival Tree01:19

Survival Tree

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Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
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Longitudinal Research02:20

Longitudinal Research

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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...
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Convenience Sampling Method00:55

Convenience Sampling Method

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
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Beyond open big data: addressing unreliable research.

Edward T Moseley1, Douglas J Hsu, David J Stone

  • 1Division of Vaccine Research, Beth Israel Deaconess Medical Center, Boston, MA, United States.

Journal of Medical Internet Research
|November 19, 2014
PubMed
Summary
This summary is machine-generated.

Published research is often unreliable, impacting medical innovation. Promoting open data, cooperation, and transparency in scientific research can improve the robustness and accuracy of published findings.

Keywords:
collaborative learningknowledge discoveryopen datapeer reviewresearch cultureunreliable research

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Area of Science:

  • Biomedical Research
  • Scientific Publishing
  • Research Integrity

Background:

  • The National Institute of Health invests billions annually in medical research, driving significant societal and economic impact through treatments and innovations.
  • A substantial portion of published scientific research is currently unreliable, undermining the value derived from research investments.
  • The drive for rapid publication and journalistic appeal can compromise scientific rigor and accuracy.

Purpose of the Study:

  • To address the issue of unreliable published research.
  • To propose the extension of the open data concept to the scientific research community.
  • To advocate for increased cooperation and transparency to enhance research robustness.

Main Methods:

  • Conceptual proposal advocating for cultural shifts in scientific research.
  • Emphasis on extending the open data concept.
  • Promoting a move away from excessive secrecy and competition towards collaboration.

Main Results:

  • Reduced susceptibility of published research to corrupting pressures.
  • Mitigation of confounding factors that compromise accuracy.
  • Enhanced reliability and robustness of scientific findings.

Conclusions:

  • Extending open data principles can improve the quality of published research.
  • Increased cooperation and transparency are crucial for scientific integrity.
  • A cultural shift towards openness will lead to more robust and trustworthy scientific outcomes.