Chinese people’s explicit and implicit attitudes toward rural left-behind elderly in the context of traditional-modern culture conflicts

Yan Zhang, Juzhe Xi, Larry Owens

    Research output: Contribution to journalArticlepeer-review

    Abstract

    This study examined Chinese people’s explicit and implicit attitudes to rural
    left-behind elderly (RLBE) in the context of traditional-modern culture conflicts
    and inferred Chinese people’s explicit and implicit attitude change to
    seniors, rurality and filial piety according to the Traditional-Modern Theory of
    Attitude Change. Participants were 661 Chinese residents aged between 17
    and 59 randomly assigned to answer questions about one of three target
    groups: elderly, rural elderly and RLBE. Explicit attitudes were measured by
    asking participants to provide five adjectives they could think of about the
    target group. Implicit attitudes were measured by adopting the stereotypic
    explanatory bias paradigm. Results suggested that explicitly, the more
    important a traditional concept is, the less the attitude toward it may change.
    in a modern direction; implicitly, all traditional concepts were changing in
    a modern direction, affected by modern individualistic western-influenced
    cultural ideas. The study developed a paradigm to study attitudes of multi-identity groups and extended the traditional-modern attitude change theory
    to implicit attitudes.
    Original languageEnglish
    Number of pages15
    JournalThe Social Science Journal
    Early online date15 Apr 2021
    DOIs
    Publication statusE-pub ahead of print - 15 Apr 2021

    Keywords

    • Explicit/Implicit attitudes toward aging
    • filial piety
    • rural left-behind elderly of China
    • stereotypic explanatory bias
    • traditional-modern theory of attitude change

    Fingerprint Dive into the research topics of 'Chinese people’s explicit and implicit attitudes toward rural left-behind elderly in the context of traditional-modern culture conflicts'. Together they form a unique fingerprint.

    Cite this