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001 978-94-6209-332-4
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008 131030s2013 ne | s |||| 0|eng d
020 _a9789462093324
_9978-94-6209-332-4
024 7 _a10.1007/978-94-6209-332-4
_2doi
050 4 _aL1-991
072 7 _aJN
_2bicssc
072 7 _aEDU000000
_2bisacsh
082 0 4 _a370
_223
100 1 _aKhine, Myint Swe.
_eeditor.
245 1 0 _aApplication of Structural Equation Modeling in Educational Research and Practice
_h[electronic resource] /
_cedited by Myint Swe Khine.
264 1 _aRotterdam :
_bSensePublishers :
_bImprint: SensePublishers,
_c2013.
300 _bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aContemporary Approaches to Research in Learning Innovations
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.
650 0 _aEducation.
650 1 4 _aEducation.
650 2 4 _aEducation (general).
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
830 0 _aContemporary Approaches to Research in Learning Innovations
856 4 0 _uhttp://dx.doi.org/10.1007/978-94-6209-332-4
912 _aZDB-2-SHU
999 _c100105
_d100105