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Social psychologists analyze how groups influence one another, shaping social structures and interactions through both cooperation and competition. These dynamics manifest in various ways, ranging from economic partnerships to intergroup conflicts that shape societal structures and perceptions.Cooperation and Competition in Intergroup RelationsIntergroup relationships vary across contexts, sometimes fostering cooperation and mutual benefit while at other times leading to conflict and...
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The Impact Factor Fallacy.

Frieder M Paulus1, Nicole Cruz2,3, Sören Krach1

  • 1Department of Psychiatry and Psychotherapy, Social Neuroscience Lab, University of Lübeck, Lübeck, Germany.

Frontiers in Psychology
|September 5, 2018
PubMed
Summary
This summary is machine-generated.

The journal impact factor (JIF) is criticized for evaluating scientists and manuscripts. Using JIF for academic decisions relies on flawed logic, misinterpreting uncertainty as quality.

Keywords:
journal impact factorjournal rankingopen accesspublishingreasoningscholarly communicationscientific excellence

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Area of Science:

  • Bibliometrics
  • Scholarly Communication
  • Research Evaluation

Background:

  • The journal impact factor (JIF) is widely used but increasingly criticized.
  • Its application in evaluating individual scientists and manuscripts is contentious.

Purpose of the Study:

  • To critique the use of JIF in academic policy and decision-making.
  • To demonstrate the fallacies in using journal-based metrics for evaluating scientific work.

Main Methods:

  • Application of deductive and inductive reasoning principles.
  • Analysis of the logical fallacies inherent in journal-based metrics.

Main Results:

  • The application of JIF in academic evaluation is based on false beliefs and unwarranted inferences.
  • Relying on JIF for quality assessment is logically flawed.

Conclusions:

  • Using journal-based metrics like JIF for evaluating scientists is scientifically unsound.
  • Such metrics reflect uncertainty rather than true scientific quality.