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                <identifier>oai:data.mendeley.com/s2dd7dmyzg.1</identifier>
                <datestamp>2024-07-15T14:46:14Z</datestamp>
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            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>Tode, Tomoko</dc:creator>
    <dc:title>Lingua-Franca Future Self-Guides: How Do They Predict Shame?</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>Second-language (L2) future self-guides have been studied in relation to emotions. What remains unclear relates to the norms of L2 selves. Future selves with a lingua-franca (LF) ideology, which emphasizes shared responsibility, might make a difference in emotions. By developing questionnaire items to measure LF future selves, the current study investigated how LF selves predicted shame. Two hundred and fifty-seven undergraduates learning English in Japan participated by completing the questionnaire consisting of 38 items to measure LF selves, L2 selves, and L2 shame. Exploratory factor analysis (n = 257) conducted on the LF self items and subsequent confirmatory factor analysis performed on another sample of representation (n = 123) revealed three factors: ideal LF self/own, ideal LF self/others, and ought-to LF self. Partial correlation analyses between each two L2 or LF selves did not reveal a significant unique correlation between ideal L2 self and ought-to L2 self/own (r = .09). Rather, the seeming association between the two L2 selves was mediated by the LF selves. Hierarchical multiple regression analysis revealed that ideal LF self/own changed the prediction of shame in the direction of relieving L2 shame. The results suggest that cultivating an LF ideology may support the well-being of English learners. The data uploaded are the raw data of the survey consisting of one used for exploratory factor analysis, correlation analysis, and hierarchical multiple regression analysis (n = 257) and one used for confirmatory factor analysis (n = 123).</dc:description>
    <dc:subject>Survey Research</dc:subject>
    <dc:subject>Second Language Acquisition</dc:subject>
    <dc:subject>Student Motivation</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/s2dd7dmyzg.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/s2dd7dmyzg.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
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    <dc:date>2024-07-15T14:46:14Z</dc:date>
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