Assessing Knowledge of Mathematical Equivalence: A Construct-Modeling Approach.
By Bethany Rittle-Johnson, Percival G. Matthews, Roger Taylor, Katherine McEldoon. 2011
171 citations recorded by the source corpus.
Subfields: Education, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/253b8bf203282ca8a35c938a0110616d663d5d59
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Education
- Bethany Rittle-Johnson
- Emily R. Fyfe
- Noelle M. Crooks
- Martha W. Alibali
- Percival G. Matthews
- Katherine McEldoon
- Roger Taylor
- Jon Star
In Statistics and Probability
- Bethany Rittle-Johnson
- Emily R. Fyfe
- Noelle M. Crooks
- Martha W. Alibali
- Percival G. Matthews
- Katherine McEldoon
- Roger Taylor
- Jon Star
Citations in the corpus
- Defining and measuring conceptual knowledge in mathematics (2014, background): “In four sources, participants were asked to decide whether two given numbers were equal (number equality task; e.g., Rittle-Johnson et al., 2011).”
- The Effects of Feedback During Exploratory Mathematics Problem Solving: Prior Knowledge Matters (2012, methodology): “After the tutoring session, children completed a posttest (immediately and after a 2-week delay) that assessed conceptual and procedural knowledge of mathematical equivalence (Rittle-Johnson et al., 2011).”
- Measure for Measure: what Combining Diverse Measures Reveals About Children's Understanding of the Equal Sign as an Indicator of Mathematical Equality (2012, methodology): “First, researchers have not used assessments with proven reliability and validity when investigating children’s understanding of the equal sign (Hill & Shih, 2009; Rittle-Johnson et al., 2011).”