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Digital humanism.

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Digital humanities offer psychology abundant data, easing statistical constraints and enabling new interpretations. This shift necessitates rigorous source criticism and re-evaluates psychological research methods.

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Area of Science:

  • Psychology
  • Digital Humanities
  • Quantitative Science

Background:

  • Traditional psychology often assumes a conflict between humanistic methods and statistical reasoning.
  • Abundant data in digital humanities challenges traditional significance testing in psychology.

Purpose of the Study:

  • To explore how digital humanities data influences psychological research methods.
  • To examine the evolving relationship between data, tools, and concepts in psychology.

Main Methods:

  • Analysis of historical and contemporary trends in psychological research.
  • Examination of the impact of large-scale datasets on statistical practices.
  • Exploration of source criticism in quantitative research.

Main Results:

  • Digital humanities data relaxes statistical significance constraints, allowing more interpretive freedom.
  • Large, diverse datasets demand meticulous source criticism, akin to humanities scholarship.
  • Data is increasingly becoming an object of study itself, influencing research concepts.

Conclusions:

  • The integration of digital humanities necessitates an evolution in psychological research methodologies.
  • Psychology's quantitative and humanistic approaches may be converging due to data availability.
  • Future research must address the methodological and conceptual shifts driven by big data.