The application of structure equation modeling analysis for assessment and educational research

Augusto Da Costa

doi:10.23916/0020180314330

Abstract

The purpose of this study is discovering and confirmingthe essentialfunction of Structure Equation Modeling (SEM) Analysis for assessment and educational research. The literatures in regards to SEM analysis as method of assessment and educational research will be descriptive analyzed and explored in the light of meta-analysis. The result of the study shown that by using SEM analysis ones get empirical data and clear picture of student’s need and do right assessment and research in education. The empirical data enable scholars and government to set new or revise current education program for the future. Therefore this result should be considered as important data for government, especially Education department to establish curriculum and planning strategy of teaching and learning which is conjunction with reality in the field. It means the education program that been established and will develop really match with real life and needs of student, society and the nation. So SEM analysis is important method for each researchers and scholars to run assessment and educational research now and beyond.

Highlights

Structural equation modeling (SEM) is a general method of data analysis that brings together path analysis and factor analysis
SEMemphasis on confirmatory factor analysis that been proposed a factor model and test to see whether the data is fits
Study been done by analyzing the literature of SEM analysis, assessment and educational research that provided in books and international journal

Summary

Introduction

Structural equation modeling (SEM) is a general method of data analysis that brings together path analysis and factor analysis. The path analysis specifies and tests a models of causal relationships among variables and to estimate direct and indirect effects. SEM uses traditional path analysis by estimating of full model simultaneously and providing overall measures of model fit (Hair et al, 2014). SEM is a statistical technique that use to test hypothesis and to analysis a structural theory (Raykov and Marcoulides, 2006; Fadlelmula, 2011). SEMemphasis on confirmatory factor analysis that been proposed a factor model and test to see whether the data is fits. SEM allows to combine path analysis and confirmatory factor analysis by testing models of causal relationships among hypothesized factors

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