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Direct linkMoreno, Mario; Harwell, Michael; Guzey, S. Selcen; Phillips, Alison; Moore, Tamara J. – School Science and Mathematics, 2016
Hierarchical linear models have become a familiar method for accounting for a hierarchical data structure in studies of science and mathematics achievement. This paper illustrates the use of cross-classified random effects models (CCREMs), which are likely less familiar. The defining characteristic of CCREMs is a hierarchical data structure…
Descriptors: Mathematics Achievement, Mathematics Instruction, Hierarchical Linear Modeling, Mathematics Curriculum
Corbishley, Jeffrey B.; Truxaw, Mary P. – School Science and Mathematics, 2010
The National Council of Teachers of Mathematics has set ambitious goals for the teaching and learning of mathematics that include preparing students for both the workplace and higher education. While this suggests that it is important for students to develop strong mathematical competencies by the end of high school, there is evidence to indicate…
Descriptors: Generalization, Mathematical Logic, Numeracy, Measurement Techniques
Ellington, Aimee J. – School Science and Mathematics, 2006
Forty-two studies comparing students with access to graphing calculators during instruction to students who did not have access to graphing calculators during instruction are the subject of this meta-analysis. The results on the achievement and attitude levels of students are presented. The studies evaluated cover middle and high school…
Descriptors: Testing, Graphing Calculators, Calculus, Mathematics Instruction
