Impact of Engineering Students' Attitudes on Achievement in Statistics: A Structural Model
By Carmen Sorge, C. Schau. 2002
238 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/b70574abc35ae42c439daa3fbcc8ede85d1472dd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Kieth A. Carlson
- J. Winquist
- Primi Caterina
- Francesca Chiesi
- Mogens Fosgerau
- Stephane Hess
- Baibing Li
- Kenneth Small
Citations in the corpus
- Evaluating an Active Learning Approach to Teaching Introductory Statistics: A Classroom Workbook Approach (2011, methodology): “Interestingly, while our sample had more improved affect and cognitive competence ratings, they also produced a greater increase in statistics difficulty ratings.”
- On the relation between the mean and variance of delay in dynamic queues with random capacity and demand (2010, background): “The bottleneck model and its implications for congestion pricing have been analyzed extensively (Arnott et al., 1993). In particular, there is always a queue in the Nash equilibrium. In the social optimum there is no queue since users then arrive at a rate equal to the service rate. It is fairly eas”
- COGNITIVE AND NON-COGNITIVE FACTORS RELATED TO STUDENTS’ STATISTICS ACHIEVEMENT (2010, background): “…research on statistics achievement measured students' mathematics background referring to high school achievement (Nasser, 2004; Onwuegbuzie, 2003; Sorge & Schau, 2002) or to mathematics knowledge that was generally assessed by tests developed for instructional use or for the purpose of the…”