On the contrary, measurement error which takes place from relation between research variables can be explained. Sharpness and accuracy in predicting the variables which are considered to have influence on variables can be obtained. The use of LISREL technique to analyze variable data for education is a must. ![]() The other benefit is that fit between theoritical model and data can be tested. The other benefit of this technique compared to the conventional analysis model are: (1) faulty estimate on variables relation caused by measurement error can be corrected and (2) statistical test on whether or not a theoritical model describing relation structure between variables can be carried out. The purpose of this paper are (1) to propose applying a technique of data analysis of educational variables using LISREL, (2) to construct variables including in the research model.
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