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: Probability and Social Science
    sub title: Methodological Relationships between the two Approaches
  name:
    name part: Courgeau, Daniel.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: ne
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXXIV, 310 p. online resource.
  abstract: This work examines in depth the methodological relationships that probability and statistics have maintained with the social sciences from their emergence. It covers both the history of thought and current methods. First it examines in detail the history of the different paradigms and axioms for probability, from their emergence in the seventeenth century up to the most recent developments of the three major concepts: objective, subjective and logicist probability. It shows the statistical inference they permit, different applications to social sciences and the main problems they encounter. On the other side, from social sciences—particularly population sciences—to probability, it shows the different uses they made of probabilistic concepts during their history, from the seventeenth century, according to their paradigms: cross-sectional, longitudinal, hierarchical, contextual and multilevel approaches. While the ties may have seemed loose at times, they have more often been very close: some advances in probability were driven by the search for answers to questions raised by the social sciences; conversely, the latter have made progress thanks to advances in probability. This dual approach sheds new light on the historical development of the social sciences and probability, and on the enduring relevance of their links. It permits also to solve a number of methodological problems encountered all along their history.
  table of contents: General Introduction -- Part 1: From Probability to Social Sciences -- Introduction to Part 1 -- Chapter 1: The Objectivist Approach -- Chapter 2: The Epistemic Approach: Subjectivist Interpretation -- Chapter 3: The Epistemic Approach: Logicist Interpretation -- Conclusion of Part 1 -- Part II: From Population Sciences to Probability -- Introduction to Part II -- Chapter 4: The Dispersion of Measures in Population Sciences -- Chapter 5: Closer Links between Population Sciences and Probability -- Conclusion of Part II -- General Conclusion -- Glossary -- References -- Subject Index -- Author Index.
  note: by Daniel Courgeau.
  subject:
    topic: Social sciences
  subject:
    topic: Probabilities
  subject:
    topic: Statistics
  subject:
    topic: Social Sciences
  subject:
    topic: Methodology of the Social Sciences
  subject:
    topic: Probability Theory and Stochastic Processes
  subject:
    topic: Statistical Theory and Methods
  classification: H61-61.95
  classification: 300.1
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Methodos Series, Methodological Prospects in the Social Sciences ; 10
  identifier: 9789400728790
  identifier: http://dx.doi.org/10.1007/978-94-007-2879-0
  record info:
    record creation date: 120221
    record change date: 20151120182048.0
    record identifier: 978-94-007-2879-0