Curriculum-Based Measurement of Oral Reading: Standard Errors Associated With Progress Monitoring Outcomes From DIBELS, AIMSweb, and an Experimental Passage Set
By S. Ardoin, Theodore J. Christ. 2009
196 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/2585bf7628ae6c37e5a1a52433d72ae53a0e08c9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
Citations in the corpus
- Handbook of Classroom Management (2014, background): “Frequent opportunities to respond and high rates of correct response are associated with increased on-task behavior (Burns & Boice, 2009; Haydon et al., 2010) and a decrease in disruptive behavior (Christle & Schuster, 2003; Gunter & Reed, 1997).”
- Connecting Cognitive Theory and Assessment: Measuring Individual Differences in Reading Comprehension (2012, background): “One issue of concern in CBM progress monitoring is the unreliability associated with growth rates generated by CBM measures (e.g., Christ, 2006; Christ & Ardoin, 2009a, 2009b; Hintz & Christ, 2004; Tolar, Barth, Francis, Fletcher, Stuebing, & Vaughn, 2012; Wayman, Wallace, Wiley, Tichá, & Espin,…”