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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 7 of 7 1 sj-docx-1-jls-10.1177_0261927X221092098 - Supplemental material for Willingness to Communicate and its High-Evidence Factors: A Meta-Analytic Structural Equation Modeling Approach ... Jin, Seonghan; Lee, Hansol. - : SAGE Journals, 2022 BASE Show details 2 Willingness to Communicate and its High-Evidence Factors: A Meta-Analytic Structural Equation Modeling Approach ... Jin, Seonghan; Lee, Hansol. - : SAGE Journals, 2022 BASE Show details 3 sj-docx-1-jls-10.1177_0261927X221092098 - Supplemental material for Willingness to Communicate and its High-Evidence Factors: A Meta-Analytic Structural Equation Modeling Approach ... Jin, Seonghan; Lee, Hansol. - : SAGE Journals, 2022 BASE Show details 4 Willingness to Communicate and its High-Evidence Factors: A Meta-Analytic Structural Equation Modeling Approach ... Jin, Seonghan; Lee, Hansol. - : SAGE Journals, 2022 Abstract: This study aimed to synthesize the structural relationships among willingness to communicate (WTC) and its high-evidence factors in second language (L2) learning contexts by adopting meta-analytic structural equation modeling (MASEM). The MASEM approach is designed to construct a structural equation model (SEM) to explain correlations between variables by pooling correlation coefficients reported in previous literature. This study integrated 44 independent samples ( N = 12,094) and built a MASEM model to investigate the structural relations of WTC, its three high-evidence factors (learners’ perceived L2 competence, L2 motivation, and L2 anxiety), and frequency of learners’ L2 use. The results of meta-analysis successfully supported our proposed model of L2 WTC. Furthermore, among the three high-evidence factors, it was found that learners’ perceived L2 competence influenced L2 WTC the most. In addition, the results of the moderator analyses indicated that learners’ L2 proficiency and WTC contexts (inside vs. ... Keyword: 170199 Psychology not elsewhere classified; 200399 Language Studies not elsewhere classified; FOS Languages and literature; FOS Psychology URL: https://sage.figshare.com/collections/Willingness_to_Communicate_and_its_High-Evidence_Factors_A_Meta-Analytic_Structural_Equation_Modeling_Approach/5950697 https://dx.doi.org/10.25384/sage.c.5950697 BASE Hide details 5 Exploring Corpus Use in Second Language Vocabulary Learning: Toward the Establishment of a Data-Driven Learning Model Lee, Hansol. - : eScholarship, University of California, 2018 In: Lee, Hansol. (2018). Exploring Corpus Use in Second Language Vocabulary Learning: Toward the Establishment of a Data-Driven Learning Model. UC Irvine: Education. Retrieved from: http://www.escholarship.org/uc/item/2295n13s (2018) BASE Show details 6 The effects of concordance-based electronic glosses on L2 vocabulary learning Lee, Hansol; Warschauer, Mark; Ho Lee, Jang In: Language Learning & Technology 21 (2017) 2, 32-51 IDS OBELEX meta Show details 7 The effects of concordance-based electronic glosses on L2 vocabulary learning Lee, Hansol; Warschauer, Mark; Lee, Jang Ho. - : University of Hawaii National Foreign Language Resource Center, 2017. : Michigan State University Center for Language Education and Research, 2017 BASE Show details

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