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Predicting Mathematics Achievement of Eighth Grade Students in Germany: An Application of Parts of the Model of Educational Productivity to the TIMSS Data
Authors:Olaf Köller  Jürgen Baumert  Marten Clausen  Ingmar Hosenfeld
Abstract:Parts of the model of educational productivity provided by Walberg and colleagues (e.g., Walberg, 1981) were tested on the basis of the German TIMSS data. Due to its national extensions, the German study allows longitudinal analyses. Structural equation modelling was applied to the data at student level. Findings supported cum grano salis the model of educational productivity. The most powerful predictors were cognitive variables. Nevertheless, motivational determinants, leisure activities and students’ gender were also significant predictors of achievement. Mass media as well as home background, that is, the educational level of parents, their job prestige and their number of books at home, had no direct impact on learning.
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