rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Crash course statistics
    part name: P-hacking
  title info:
    title: P-hacking
  name:
    name part: Crash Course Statistics
    role:
      role term: publisher.
  type of resource: moving image
  genre: videorecording
  genre: Educational films
  genre: Short films
  genre: Educational films.
  genre: Short films.
  genre: Films éducatifs.
  genre: Courts métrages.
  origin info:
    place:
      place term: xx
    date issued: 2018
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (11 minutes)
  abstract: Today we're going to talk about p-hacking (also called data dredging or data fishing). P-hacking is when data is analyzed to find patterns that produce statistically significant results, even if there really isn't an underlying effect, and it has become a huge problem in science since many scientific theories rely on p-values as proof of their existence! Today, we're going to talk about a few ways researchers have "hacked" their data, and give you some tips for identifying and avoiding these types of problems when you encounter stats in your own lives.
  target audience: adult
  note: Title from resource description page (viewed April 13, 2022).
  note: In English.
  subject:
    topic: Statistics
    topic: Study and teaching
  subject:
    topic: Research
    topic: Statistical methods
  subject:
    topic: Research
    topic: Data processing
  subject:
    topic: Research
    topic: Methodology
  subject:
    topic: Statistique
    topic: Étude et enseignement
  subject:
    topic: Recherche
    topic: Méthodes statistiques
  subject:
    topic: Recherche
    topic: Méthodologie
  subject:
    topic: Research
    topic: Data processing
  subject:
    topic: Research
    topic: Methodology
  subject:
    topic: Research
    topic: Statistical methods
  subject:
    topic: Statistics
    topic: Study and teaching
  related item:
    title info:
      title: Academic Video Online
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: ALSTP
    record creation date: 220401
    record change date: 20241201230958.1
    record identifier: in00005556862
    language of cataloging:
      language term: eng