Passion matters but not equally everywhere: Predicting achievement from interest, enjoyment, and efficacy in 59 societies.

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Bibliographic Details
Title: Passion matters but not equally everywhere: Predicting achievement from interest, enjoyment, and efficacy in 59 societies.
Authors: Li X; Graduate School of Education, Stanford University, Stanford, CA 94305; axyli@stanford.edu hmarkus@stanford.edu., Han M; School of Business, The Chinese University of Hong Kong, Shatin, Hong Kong 999077., Cohen GL; Graduate School of Education, Stanford University, Stanford, CA 94305.; Department of Psychology, Stanford University, Stanford, CA 94305., Markus HR; Department of Psychology, Stanford University, Stanford, CA 94305 axyli@stanford.edu hmarkus@stanford.edu.
Source: Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2021 Mar 16; Vol. 118 (11).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: National Academy of Sciences Country of Publication: United States NLM ID: 7505876 Publication Model: Print Cited Medium: Internet ISSN: 1091-6490 (Electronic) Linking ISSN: 00278424 NLM ISO Abbreviation: Proc Natl Acad Sci U S A Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1091-6490
DOI:10.1073/pnas.2016964118