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Katherine Follette; Sanlyn Buxner; Erin Dokter; Donald McCarthy; Beau Vezino; Laci Brock; Edward Prather – Numeracy, 2017
In this article, we explore the ability of demographic and attitudinal variables to predict student scores on the Quantitative Reasoning for College Science (QuaRCS) Assessment. Variables measured by the assessment include: students' academic choices and plans, attitudes and perceptions regarding mathematics, self-reported effort level, and basic…
Descriptors: Student Characteristics, Student Attitudes, Scores, Predictor Variables
Wu, Margaret – OECD Publishing (NJ1), 2010
This paper makes an in-depth comparison of the PISA (OECD) and TIMSS (IEA) mathematics assessments conducted in 2003. First, a comparison of survey methodologies is presented, followed by an examination of the mathematics frameworks in the two studies. The methodologies and the frameworks in the two studies form the basis for providing…
Descriptors: Mathematics Achievement, Foreign Countries, Gender Differences, Comparative Analysis
Peer reviewedMunger, Gail F.; Loyd, Brenda H. – Journal of Educational Computing Research, 1989
Describes study of 60 high school students that examined the relationship between mathematics performance, students' attitudes toward computers and calculators, and whether the relationship is similar for males and females. Results indicate that both male and female students with more positive attitudes toward computers and calculators perform…
Descriptors: Academic Achievement, Analysis of Variance, Calculators, Computer Assisted Instruction

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