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Related Concept Videos

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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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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Confirmation Biases01:31

Confirmation Biases

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The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
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Regression Toward the Mean01:52

Regression Toward the Mean

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Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
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Cross-Sectional Research01:50

Cross-Sectional Research

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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...
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Hindsight Biases01:12

Hindsight Biases

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Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
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Groundhog Day: research without old data and old references.

Barry A Hong1,2, David E Pollio2,3, Dana L Downs1

  • 1Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.

Psychological Medicine
|February 9, 2022
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Summary
This summary is machine-generated.

Scientific publications increasingly favor new data, risking the loss of valuable older research. This "Groundhog Day" effect in science necessitates reconsidering the utility of historical data for advancing knowledge.

Keywords:
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Area of Science:

  • Bibliometrics
  • Scientific Publishing
  • Research Impact

Background:

  • Modern scientific publishing trends show a strong preference for recent data and references.
  • This bias risks overlooking foundational research, creating a cycle of rediscovery akin to the movie 'Groundhog Day'.
  • Older studies, though valuable, are increasingly disfavored, potentially hindering scientific progress.

Purpose of the Study:

  • To examine the consequences of prioritizing newer data and references in scientific publications.
  • To stimulate a re-evaluation of the utility of older data and references in advancing scientific knowledge.
  • To highlight the 'Groundhog Day' effect caused by the neglect of historical research.

Main Methods:

  • A literature review was conducted to analyze publication trends.
  • Original research articles from selected recent academic medical journals (psychiatry, medicine, surgery) were examined.
  • The recency of references in these articles was assessed to illustrate current practices.

Main Results:

  • The examined literature confirmed a significant emphasis on research featuring newer data and recent references.
  • Publication practices in selected medical fields reflect a clear bias towards recency.
  • Older studies and data appear to be underrepresented in current publications.

Conclusions:

  • The current valuation of new data over old overlooks the cyclical nature of scientific information, as new data eventually becomes old.
  • Arbitrary policies favoring recent data create a bias that can be rectified by treating older and newer data equitably.
  • Revisiting and integrating older data and references is crucial for comprehensive scientific advancement and avoiding redundant research efforts.