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020 _a9789462093324
_q(electronic book)
020 _z9789462093317
_q(print)
024 7 _a10.1007/978-94-6209-332-4
_2DOI
035 _a(OCoLC)863386928
040 _aNL-LeKB
_cNL-LeKB
_erda
050 4 _aLB1028
072 7 _aJN
_2bicssc
072 7 _aEDU
_x000000
_2bisacsh
082 0 4 _a370.72
_223
245 0 0 _aApplication of Structural Equation Modeling in Educational Research and Practice /
_cEdited by Myint Swe Khine.
264 1 _aLeiden;
_aBoston :
_bBrill | Sense,
_c2013.
300 _a1 online resource
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
338 _aonline resource
_2rdacarrier
490 1 _aContemporary Approaches to Research in Learning Innovations ;
_v7
490 1 _aEducational Research E-Books Online, Collection 2005-2017, ISBN: 9789004394001
505 0 0 _aPreliminary Material /
_rMyint Swe Khine -- Applying Structural Equation Modeling (SEM) in Educational Research: An Introduction /
_rTimothy Teo , Liang Ting Tsai and Chih-Chien Yang -- Structural Equation Modeling in Educational Research: A Primer /
_rYo In’nami and Rie Koizumi -- Teachers’ Perceptions of the School as a Learning Environment for Practice-based Research: Testing a Model That Describes Relations between Input, Process and Outcome Variables /
_rMarjan Vrijnsen-de Corte , Perry den Brok , Theo Bergen and Marcel Kamp -- Development and Validation of an English Classroom Learning Environment Inventory and its Application in China /
_rLiyan Liu and Barry J. Fraser -- The Effects of Psychosocial Learning Environment on Students’ Attitudes Towards Mathematics /
_rErnest Afari -- Students’ Learning Environment, Motivation and Self-Regulation: A Comparative Structural Equation Modeling Analysis /
_rSunita Velayutham , Jill Aldridge and Ernest Afari -- In/Out-of-School Learning Environment and SEM Analyses on Attitude Towards School /
_rHasan Şeker -- Development of Generic Capabilities in Teaching and Learning Environments at the Associate Degree Level /
_rWincy W.S. Lee , Doris Y. P. Leung and Kenneth C.H. Lo -- Latent Variable Modeling in Educational Psychology: Insights from a Motivation and Engagement Research Program /
_rGregory Arief D. Liem and Andrew J. Martin -- Linking Teaching and Learning Environment Variables to Higher Order Thinking Skills: A Structural Equation Modeling Approach /
_rJohn K. Rugutt -- Influencing Group Decisions by Gaining Respect of Group Members in E-Learning and Blended Learning Environments: A Path Model Analysis /
_rBinod Sundararajan , Lorn Sheehan , Malavika Sundararajan and Jill Manderson -- Investigating Factorial Invariance of Teacher Climate Factors across School Organizational Levels /
_rChristine DiStefano , Diana Mîndrilă and Diane M. Monrad -- Structural Equation Modeling Approaches in Educational Research and Practice /
_rMyint Swe Khine -- Author Biographies /
_rMyint Swe Khine.
520 _aStructural Equation Modeling (SEM) is a statistical approach to testing hypothesis about the relationships among observed and latent variables. The use of SEM in research has increased in psychology, sociology, and economics in recent years. In particular educational researchers try to obtain the complete image of the process of education through the measurement of personality differences, learning environment, motivation levels and host of other variables that affect the teaching and learning process. With the use of survey instruments and interviews with students, teachers and other stakeholders as a lens, educators can assess and gain valuable information about the social ecology of the classrooms that could help in improving the instructional approach, classroom management and the learning organizations. A considerable number of research have been conducted to identify the factors and interactions between students’ characteristics, personal preferences, affective traits, study skills, and various other factors that could help in better educational performance. In recent years, educational researchers use Structural Equation Modeling (SEM) as a statistical technique to explore the complex and dynamic nature of interactions in educational research and practice. SEM is becoming a powerful analytical tool and making methodological advances in multivariate analysis. This book presents the collective works on concepts, methodologies and applications of SEM in educational research and practice. The anthology of current research described in this book will be a valuable resource for the next generation educational practitioners.
588 _aDescription based on print version record.
650 0 _aEducation
_xResearch.
650 0 _aStructural equation modeling.
700 1 _aKhine, Myint Swe,
_eeditor.
776 0 8 _iPrint version:
_tApplication of Structural Equation Modeling in Educational Research and Practice,
_dLeiden Boston : Brill | Sense, 2013
_w9789462093317
830 0 _aContemporary Approaches to Research in Learning Innovations ;
_v7.
830 0 _aEducational Research E-Books Online, Collection 2005-2017, ISBN: 9789004394001.
856 4 _zDOI:
_uhttp://dx.doi.org/10.1007/978-94-6209-332-4
999 _c37553
_d37553