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A COMPARISON OF ACADEMIC ACHIEVEMENT IN INDONESIAN PRIVATE AND PUBLIC ELEMENTARY SCHOOLS

This study attempted (a) to identify factors that affect student aspiration and student achievement in public, Inpres, and private schools in Yogyakarta, Indonesia; (b) and to posit a plausible causal model, through the use of Linear Structural Relationships (LISREL), which is able to handle simultaneously both observed and unobserved variables, and error of measurement. A sample of 731 students were selected purposively from four regular public, two Inpres, and 12 private elementary schools in the Province of Yogyakarta, Indonesia. Data were collected from students, parents, teachers, and head masters through tests and questionnaires. Student prior achievement and current (final exam scores) achievement were collected directly from official school records. / The study showed no significant difference in achievement between public and private school students. However, Inpres school students were significantly lower achievers in the four academic areas of Bahasa Indonesia, social science, science and mathematics. / The use of a just identified LISREL model indicated that home learning environment, student learning capability, school quality, and teacher quality positively affected student aspiration and achievement, but student age (maturity) had a negative effect. The two stage least square (TSLS) solution showed that student prior achievement positively affected student aspiration and student current achievement as well. These three latent endogenous variables were influenced by latent exogenous variables, namely home learning environment, student maturity, student learning capability, school quality, and teacher quality. When the same data were analyzed by means of a just identified LISREL method and a multiple regression method, the two methods produced similar results. However, the LISREL method provides a better assessment of the fit of the matrix to be analyzed, the structural equation, and the parameters of the LISREL estimate along with T-values, standard errors and standardized solutions. These allow better judgment of the extent of measurement error in the model, and thus better judgment of the importance of the findings. / Source: Dissertation Abstracts International, Volume: 46-01, Section: A, page: 0025. / Thesis (Ph.D.)--The Florida State University, 1984.

Identiferoai:union.ndltd.org:fsu.edu/oai:fsu.digital.flvc.org:fsu_75493
ContributorsSUDARSONO, FRANCISCUS XAVIERIUS., Florida State University
Source SetsFlorida State University
Detected LanguageEnglish
TypeText
Format468 p.
RightsOn campus use only.
RelationDissertation Abstracts International

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