Research Data

Dataset for: Do not make me roll initiative: Assessing the Big Five characteristics of Dungeons & Dragons players in comparison to non-players

Author(s) / Creator(s)

Lorenz, Timo
Hagitte, Leonie
Brandt, Melvin

Abstract / Description

Dataset: Lorenz, T., Hagitte, L., & Brandt, M. (2022). Do not make me roll initiative: Assessing the Big Five characteristics of Dungeons & Dragons players in comparison to non-players. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1010800
The so-called geek-culture becomes increasingly more mainstream, and its social and economic impact is growing. In contrast, there is very little quantitative psychological research on this subculture and the people immersed in it. The aim of this study was to investigate whether there are differences in the Big Five personality factors between Dungeons & Dragons players and non-players. Within a sample of 801 individuals – 399 Dungeons & Dragon players and 402 non-players - the results indicated that Dungeons & Dragons players show statistically significant higher scores in extraversion as well as in openness to new experiences. Furthermore, we found a statistically significant correlation between Dungeons & Dragons players’ scores in extraversion and their character’s charisma. The results are in line with more recent findings from Big Five research in the geek-culture and contradict older findings regarding a low extraversion and high neuroticism of Dungeons & Dragon players.

Keyword(s)

geek geek-culture Big-Five

Persistent Identifier

Date of first publication

2022-08-04

Publisher

PsychArchives

Is referenced by

Citation

  • 2
    2022-08-04
    Change of title
  • 1
    2022-03-03
  • Author(s) / Creator(s)
    Lorenz, Timo
  • Author(s) / Creator(s)
    Hagitte, Leonie
  • Author(s) / Creator(s)
    Brandt, Melvin
  • PsychArchives acquisition timestamp
    2022-08-04T13:55:38Z
  • Made available on
    2022-03-03T10:00:58Z
  • Made available on
    2022-08-04T13:55:38Z
  • Date of first publication
    2022-08-04
  • Abstract / Description
    Dataset: Lorenz, T., Hagitte, L., & Brandt, M. (2022). Do not make me roll initiative: Assessing the Big Five characteristics of Dungeons & Dragons players in comparison to non-players. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1010800
    en
  • Abstract / Description
    The so-called geek-culture becomes increasingly more mainstream, and its social and economic impact is growing. In contrast, there is very little quantitative psychological research on this subculture and the people immersed in it. The aim of this study was to investigate whether there are differences in the Big Five personality factors between Dungeons & Dragons players and non-players. Within a sample of 801 individuals – 399 Dungeons & Dragon players and 402 non-players - the results indicated that Dungeons & Dragons players show statistically significant higher scores in extraversion as well as in openness to new experiences. Furthermore, we found a statistically significant correlation between Dungeons & Dragons players’ scores in extraversion and their character’s charisma. The results are in line with more recent findings from Big Five research in the geek-culture and contradict older findings regarding a low extraversion and high neuroticism of Dungeons & Dragon players.
    en
  • Review status
    unknown
    en
  • Persistent Identifier
    https://hdl.handle.net/20.500.12034/4980.2
  • Persistent Identifier
    https://doi.org/10.23668/psycharchives.7968
  • Language of content
    eng
  • Publisher
    PsychArchives
    en
  • Is referenced by
    https://doi.org/10.3389/fpsyg.2022.1010800
  • Is related to
    https://www.psycharchives.org/handle/20.500.12034/4981
  • Keyword(s)
    geek
    en
  • Keyword(s)
    geek-culture
    en
  • Keyword(s)
    Big-Five
    en
  • Dewey Decimal Classification number(s)
    150
  • Title
    Dataset for: Do not make me roll initiative: Assessing the Big Five characteristics of Dungeons & Dragons players in comparison to non-players
    en
  • DRO type
    researchData
    en