LEADER 04095nam 2200685 450 001 9910438226303321 005 20200520144314.0 010 $a94-6209-332-6 024 7 $a10.1007/978-94-6209-332-4 035 $a(CKB)3710000000024477 035 $a(EBL)1636879 035 $a(SSID)ssj0001049361 035 $a(PQKBManifestationID)11602412 035 $a(PQKBTitleCode)TC0001049361 035 $a(PQKBWorkID)11019432 035 $a(PQKB)10086024 035 $a(DE-He213)978-94-6209-332-4 035 $a(MiAaPQ)EBC3034886 035 $a(OCoLC)863386928 035 $a(nllekb)BRILL9789462093324 035 $a(MiAaPQ)EBC1636879 035 $a(Au-PeEL)EBL3034886 035 $a(CaPaEBR)ebr10793397 035 $a(Au-PeEL)EBL1636879 035 $a(CaPaEBR)ebr10983176 035 $a(OCoLC)904403478 035 $a(PPN)176130705 035 $a(EXLCZ)993710000000024477 100 $a20131114h20132013 uy| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aApplication of structural equation modeling in educational research and practice /$fedited by Myint Swe Khine, Science and Mathematics Education Centre, Curtin University, Perth, Australia 205 $a1st ed. 2013. 210 1$aRotterdam :$cSense Publishers,$d[2013] 210 4$dİ2013 215 $a1 online resource (284 p.) 225 1 $aContemporary Approaches to Research in Learning Innovations 300 $aDescription based upon print version of record. 311 $a94-6209-331-8 311 $a94-6209-330-X 320 $aIncludes bibliographical references. 327 $apart I. Theoretical foundations -- part II. Structural equation modeling in learning environment research -- part III. Structural equation modeling in educational practice -- part Ivolume Conclusion. 330 $aStructural Equation Modeling (SEM) is a statistical approach to testing hypothesis about the relationships among observed and latent variables. The use of SEM in research has increased in psychology, sociology, and economics in recent years. In particular educational researchers try to obtain the complete image of the process of education through the measurement of personality differences, learning environment, motivation levels and host of other variables that affect the teaching and learning process. With the use of survey instruments and interviews with students, teachers and other stakeholders as a lens, educators can assess and gain valuable information about the social ecology of the classrooms that could help in improving the instructional approach, classroom management and the learning organizations. A considerable number of research have been conducted to identify the factors and interactions between students? characteristics, personal preferences, affective traits, study skills, and various other factors that could help in better educational performance. In recent years, educational researchers use Structural Equation Modeling (SEM) as a statistical technique to explore the complex and dynamic nature of interactions in educational research and practice. SEM is becoming a powerful analytical tool and making methodological advances in multivariate analysis. This book presents the collective works on concepts, methodologies and applications of SEM in educational research and practice. The anthology of current research described in this book will be a valuable resource for the next generation educational practitioners. 410 0$aContemporary Approaches to Research in Learning Innovations 606 $aStructural equation modeling 606 $aEducation$xResearch$xMethodology 615 0$aStructural equation modeling. 615 0$aEducation$xResearch$xMethodology. 676 $a284 701 $aKhine$b Myint Swe$0858650 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910438226303321 996 $aApplication of structural equation modeling in educational research and practice$92468875 997 $aUNINA