Pemodelan Persamaan Struktural dengan Analisis Linear Structure Relationship (Lisrel)

Ida Mariati Hutabarat

doi:10.21831/pg.v4i2.561

Pemodelan Persamaan Struktural dengan Analisis Linear Structure Relationship (Lisrel)

Ida Mariati Hutabarat, Jurusan Matematika FMIPA Universitas Cenderawasih, Indonesia

10.21831/pg.v4i2.561

Abstract

The structural equation modeling is a part of statistics which can be used to analyze relation which is developed through one or more dependent variable which is explained by one or more independent variable, and at the same time one or more independent variable acts as an independent variable for the other dependent variable. In the covariance structure based structural equation modeling the analysis which is frequently used is the Linear Structure Relationship (LISREL) analysis. The aim of this study is to learn the accuracy and consistence of the estimated values of parameters of structural equation model using LISREL analysis. The difference between one path coefficient and another shows the difference of closeness level of the relationship between the independent variables and the latent variables in an expected block.

Keywords

structural equation modeling; LISREL; path analysis

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References

Bollen, K.A. 1989. Structural Equation With Laten Variables. Canada: John Willey &

Sons.

Boomsma, H.J.J.A. 1998. Robustness Studies in Covariance Structure Modeling. Socialogical Methods and Research, Volume 26 No.3: 329-367.

Chin, W.W. 2003. Structural Equations Modeling in IS Research. Understanding the LISREL and PLS perspective.

http://www.misg.org/archivist/vol/no22/issue1/vol22n1comntry.html [29 Oktober 2003].

Geffen, D., Straub, D.W. & Boudreu, M.C. 2000. Structural Equation Modeling and Regression. Association for Information Systems, Volume ke-4 No.7: 2-78.

Gunarsa, S.D. & Y.S.D. Gunarsa. 2000. Psikologi Praktis: Anak, Remaja dan Keluarga.

Jakarta: BPK Gunung Mulia.

Jöreskog, K.G. & Sörbom. 1996. LISREL 8 User’s Reference Guide. Ed ke-2 Chicago:

SSI, Inc.

Jöreskog, K.G. & Sörbom. 1996. Prelis 2 User’s Reference Guide. Ed ke-3 Chicago: SSI, Inc.

Loehlin, J.C. 1992. Latent Variable Models An Introduction to Factor, Path, and

Structural Analysis, 2nd edition. New Jersey: Lawrence Erlbaum Associates.

Mulaik, S.A. 1975. Confirmatory Factor Analysis In Introductory Multivariate Analysis For Educational, Psychological, and Social Research. Berkeley: Daniel J. Amick and Herbert J. Walberg. Ed. McCutchan Publishing Corporation.

SAS Institute Inc. 1989. SAS/STAT User’s Guide Version 6.0. Ed ke-4. Volume 1. North

Carolina: SAS Institute.

Schumacker, R.E. & Lomax, R.G. 1996. A Beginner’s Guide to Structural Equation Modeling. New Jersey: Lawrence Erlbaum Associates.

DOI: https://doi.org/10.21831/pg.v4i2.561