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: Comic superheroes as tools for resilience-building among high-risk pediatric populations
    sub title: the application of a weighting algorithm
  name:
    name part: Fradkin, Chris
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Weschenfelder, Gelson Vanderlei
    role:
      role term: author.
  name:
    name part: Yunes, Maria Angela Mattar
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  genre: Case studies.
  origin info:
    place:
      place term: enk
    date issued: 2020
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: The main objective of this case study is to acquaint the reader with weighting: a statistical technique used to compensate for inaccuracies in sample data. The vehicle is a study we conducted that examined the potential of comic superheroes as a tool for the empowerment of children. Our study examined the prevalence of childhood adversities (e.g., bullying, loss of parents, economic limitations) among a sample of the top-20 comic superheroes, rank-ordered by worldwide gross film earnings. As there was variability in earnings among the superheroes in our sample, we employed a weighting algorithm to estimate prevalences of individual childhood adversities among the sample as a whole. This algorithm gave more weight to the higher-earning comic superheroes (e.g., Spider-Man, Batman) and less to their lower-earning counterparts (e.g., Catwoman, Green Lantern). In addition to detailing the implementation of weighting for our study, we offer descriptions of its use in other types of studies, including its usage in meta-analysis. Our goal is that the reader gains a fundamental understanding of weighting and its role in statistical analysis.
  target audience: specialized
  note: Chris Fradkin, Gelson Vanderlei Weschenfelder, Maria Angela Mattar Yunes.
  note: Includes bibliographical references and index.
  subject:
    topic: Social sciences
    topic: Statistical methods
    genre: Case studies
  subject:
    topic: Resilience (Personality trait) in children
    genre: Case studies
  subject:
    topic: Heroes
    genre: Case studies
  subject:
    topic: Self-esteem in children
    genre: Case studies
  subject:
    topic: Sciences sociales
    topic: Méthodes statistiques
    genre: Études de cas
  subject:
    topic: Résilience chez l'enfant
    genre: Études de cas
  subject:
    topic: Héros
    genre: Études de cas
  subject:
    topic: Estime de soi chez l'enfant
    genre: Études de cas
  subject:
    topic: Heroes
  subject:
    topic: Resilience (Personality trait) in children
  subject:
    topic: Self-esteem in children
  subject:
    topic: Social sciences
    topic: Statistical methods
  classification: HA32 .F73 2020
  classification: 005.55
  related item:
    title info:
      title: SAGE Research Methods Cases : Medicine and Health
  identifier: 9781529735109
  identifier: 1529735106
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 200324
    record change date: 20240923170134.6
    record identifier: in00005492798
    language of cataloging:
      language term: eng