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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
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Structural Equation Modeling(SEM) has well been adopted and ever expanded in SLA to address increasing complexity of research questions. While the conventional covariance-based SEM is still popular and firmly established as a family of statistical techniques, it suffers from its inherent problems such as nonnormal data handling and unrealistic assumptions about the relationship of variables. Recently a few alternatives to the conventional SEM have emerged in the SEM literature. This study applied Bayesian SEM to modeling the L2 motivational self system and showed its inherent advantages over the conventional covariance-based SEM in comparison. It also discussed some methodological issues in applying the Bayesian approach to research in SLA
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참고문헌 (58)
참고문헌 신청
Al-Hoorie, A. H. / 2017 / Sixty Years of Language Motivation Research: Looking Back and Looking Forward / SAGE Open 7(1):1~11
Brenner, P. S. / 2016 / Lies, Damned Lies, and Survey Self-Reports? Identity as a Cause of Measurement Bias / Social Psychology Quarterly 79(4):333~354
Bollen, K. A. / 1989 / Structural Equations with Latent Variables / John Wiley and Sons
Bolstad, M. W. / 2010 / Understanding Computational Bayesian Statistics / John Wiley and Sons
Brooks, S. P. / 1998 / General Methods for Monitoring Convergence of Iterative Simulations / Journal of Computational and Graphical Statistics 7(4):434~455
Brenner, P. S. / 2016 / Lies, Damned Lies, and Survey Self-Reports? Identity as a Cause of Measurement Bias / Social Psychology Quarterly 79(4):333~354
Bollen, K. A. / 1989 / Structural Equations with Latent Variables / John Wiley and Sons
Bolstad, M. W. / 2010 / Understanding Computational Bayesian Statistics / John Wiley and Sons
Brooks, S. P. / 1998 / General Methods for Monitoring Convergence of Iterative Simulations / Journal of Computational and Graphical Statistics 7(4):434~455
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