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Applying two-level structural equation modelling techniques, the current study examined the dimensionality of socio-economic status (SES) and its relationship with mathematics and science performance at student and school levels. Data were drawn from population 2 (13-year-olds) of 17 countries in the Third International Mathematics and Science study (TIMSS). A set of items about the ownership of household materials was used to measure the dimensions of SES. For most of the countries, a general economic dimension and a cultural dimension were identified at the student level. The cultural dimension had the greatest impact on students' mathematics and science achievement. At the school level, however, only a general economic dimension was found in most countries. This dimension was interpreted to represent community wealth. It was found to be highly related to school mean maths-science achievement, except for the countries where an additional cultural dimension is identified. This cultural dimension can be interpreted as the community cultural resources and atmosphere, and is strongly related to average school mathematics and science achievement. The current study confirmed that the ownership of a set of household materials can be used as SES indicators in exploring its multifaceted feature at both individual and school levels. A similar model structure is found in different countries by applying these indicators, despite the fact that the content of the set of household possessions is different. The findings show that the latent structure of SES at individual level is different from that at the school level, and that SES dimensions have different effects on mathematics and science achievement at individual and school levels.  相似文献   
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The purpose of the present study was to examine the effects of student-related variables on achievement in mathematics. The sample consisted of 3736 13-year-old Jordanian 8th-graders who participated in the Third International Mathematics and Science Study (TIMSS). The participants completed a student questionnaire and participated in the mathematics test. Of the matrix of affective variables reported to lead to the variation in mathematics achievement were educational aspiration, attitude, success attribution, confidence in ability and perception of importance of mathematics. A structural equation model was used to estimate and test the hypothesized relationships of the factors with achievement in mathematics. Results from this study indicate that four attitudinal and motivational variables had strong positive total and direct effects; and two variables had negative total and direct effects on mathematics achievement. Recommendations for future research were suggested.  相似文献   
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