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    Researching Ageing

    Proposal review

    Methodological Challenges and their Empirical Background

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    Contributor(s)
    Łuszczyńska, Maria (editor)
    Language
    English
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    Abstract
    This book explores the diversity of methodological approaches to researching ageing, considering which methodological paradigm best captures the phenomenon. Interdisciplinary in scope, it brings together research from scholars from Austria, Canada, France, Hong Kong, Israel, Poland, UK and USA to uncover the conditions under which qualitative and quantitative approaches to research on ageing can best be reconciled and rendered complementary. Presenting international reflection on methods for studying old age from a variety of research backgrounds, Researching Ageing showcases the latest research in the field and will appeal to scholars across the social sciences, including sociology, demography, psychology, economics and geography, with interests in gerontology, ageing and later life.
    URI
    http://library.oapen.org/handle/20.500.12657/39474
    Keywords
    Access Ageing Background Challenges Empirical Łuszczyńska Maria Methodological Open Researching their sociology social science research methods reflection reconciled quantitative approaches qualitative approaches methodology later life interdisciplinary gerontology geography demography demography aging ageing Poland Hong Kong France Canada Austria
    DOI
    10.4324/9781003051169
    ISBN
    9780367507558
    Publisher
    Taylor & Francis
    Publisher website
    https://taylorandfrancis.com/
    Publication date and place
    2020
    Imprint
    Routledge
    Series
    Routledge Advances in Research Methods,
    Classification
    Society and culture: general
    Sociology
    Pages
    352
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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