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Using data from different countries, the author conducted an international investigation of the relationship between mean country mathematics and science self-concept and respective mean country achievement and geographic region. In addition, the relationship between self-concept and gender and age was compared for the different countries. Findings showed, at the student level, an overall positive relationship between achievement and self-concept in the countries investigated. However, at the country level, a negative relationship was found. Overall, there was a gender gap in favor of males and a developmental gap suggesting that mathematics and science self-concept decline as students grow older. Implications for mathematics and science education are discussed.

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This article articulates and operationalizes a framework for investigating the level of quantitative literacy in the United States. Quantitative literacy is defined in terms of mathematical content knowledge, mathematical reasoning, understanding of the social impact and utility of mathematics, understanding the nature and historical development of mathematics, and mathematical disposition‐Data from the Third International Mathematics and Science Study are used to document the level of quantitative literacy in the US. Results suggest that, although students in the US seem to possess an awareness of the usefulness of mathematics and have positive dispositions toward mathematics, they fall short in their understanding of the nature of mathematics and an ability to apply their content knowledge to everyday situations. Suggestions for curriculum and instruction that align with the framework for promoting quantitative literacy are offered.

Blackwell et al. (Child Development 78(1):246-263, 2007) tested a motivational model of achievement in which an incremental theory of intelligence leads to learning goals and positive effort beliefs, which leads to fewer ability-based, helpless attributions, and more positive strategies, which leads to improved grades. In the present study, we tested this model by using a different population, using domain-specific items, comparing the results across gender, including "interest" as another variable in the model, and assessing the impact of achievement as an antecedent and outcome variable in the model. Participants included 163, mostly White, ninth-grade Algebra students from a suburban school in southwest Virginia, USA. We established that the model had a relatively good fit to the data and all paths were statistically significant when achievement was used as both an antecedent and outcome variable. The standardized path coefficients were consistent with those reported by Blackwell et al. and the model was invariant across genders. Furthermore, we documented that interest could be included as another mediating variable in the model. The results of this study provide evidence to support the validity of the relationships between the constructs in the Blackwell et al. model for the population examined.