The relative importance of predictors of math and science achievement: An opportunity–propensity analysis
By James P. Byrnes, David C. Miller. 2007
174 citations recorded by the source corpus.
Subfields: Education
View Paper: https://www.semanticscholar.org/paper/1d7b38f5025df230946b64497b3d551ac02b3b46
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Education
- Jeff M. Allen
- S. Robbins
- Alex Casillas
- T. Cleary
- Anastasios Karakolidis
- A. Biggart
- Anastasia Kitsantas
- Paul L. Morgan
Citations in the corpus
- A Model of Factors Contributing to STEM Learning and Career Orientation (2015, background): “The influence of parents has been widely studied outside the context of SCCT, showing that parent–child activities, often conceptualized as ‘parent involvement,’ are positively related to academic performance (Byrnes & Miller, 2007; Fan & Chen, 2001; Rice, 2001).”
- Predicting early academic failure in high school from prior academic achievement, psychosocial characteristics, and behavior. (2012, background): “Although grading standards may vary across middle schools, middle-school grades are strongly predictive of high school grades (e.g., Byrnes & Miller, 2007).”
- Motivation and Self-Regulated Learning Influences on Middle School Mathematics Achievement (2017, background): “…& McGue, 2003), there is much evidence demonstrating that family economic status relates directly to school achievement and academic behaviors (Byrnes & Miller, 2006; Matthews, Kizzie, Rowley, & Cortina, 2010; Pagani, Boulerice, Vitaro, & Tremblay, 1999) although not necessarily to motivation…”
- Science Achievement Gaps Begin Very Early, Persist, and Are Largely Explained by Modifiable Factors (2016, background): “To date, the extant work has mostly analyzed science achievement in older (e.g., high school) student populations (e.g., Byrnes & Miller, 2007; Ma & Wilkins, 2002; Muller et al., 2001; Reynolds & Walberg, 1992; J. Wang & Staver, 2001; Young, Reynolds, & Walberg, 1996), at particular time points…”
- The role of students' self-beliefs, motivation and attitudes in predicting mathematics achievement: A multilevel analysis of the Programme for International Student Assessment data (2017, background): “For example, Areepattamannil (2014) and Byrnes and Miller (2007), who examined data from PISA and the National Education Longitudinal Study (NELS), respectively.”