2015
DOI: 10.1080/10573569.2014.964352
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Validity and Diagnostic Accuracy of Written Expression Curriculum-Based Measurement for Students With Diverse Language Backgrounds

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Cited by 23 publications
(34 citation statements)
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References 40 publications
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“…The highest relationships in this case were those between the WJ IV WE cluster score PW CWS and CLS. These validity findings parallel the results of writing studies in older children where metrics that capture correct sequences, often CWS as well as CIWS, are found to be most related to the criterion (e.g., Keller-Margulis, Payan, Jaspers, & Brewton, 2016;Weissenburger & Espin, 2005), although the correlations are often only in the moderate range. The results are slightly higher than those of existing studies at the kindergarten level where the correlations tend to be moderate (e.g., Coker & Ritchey, 2010).…”
Section: Discussionsupporting
confidence: 79%
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“…The highest relationships in this case were those between the WJ IV WE cluster score PW CWS and CLS. These validity findings parallel the results of writing studies in older children where metrics that capture correct sequences, often CWS as well as CIWS, are found to be most related to the criterion (e.g., Keller-Margulis, Payan, Jaspers, & Brewton, 2016;Weissenburger & Espin, 2005), although the correlations are often only in the moderate range. The results are slightly higher than those of existing studies at the kindergarten level where the correlations tend to be moderate (e.g., Coker & Ritchey, 2010).…”
Section: Discussionsupporting
confidence: 79%
“…When sensitivity did not reach .70, the sensitivity closest to .70 which was accompanied by the highest specificity was selected. This approach is similar to other studies of diagnostic accuracy with writing CBM (e.g., Keller-Margulis et al, 2016). The results include cut scores, sensitivity, specificity, PPP and NPP, AUC and associated confidence intervals, and hit rates.…”
Section: Diagnostic Accuracymentioning
confidence: 68%
“…Most WE-CBM research has focused on technical features of a static score with an emphasis on predictive and criterion validity (e.g., Espin et al, 2000; Gansle, VanDerHeyden, Noell, Naquin, & Slider, 2002; Keller-Margulis, Payan, Jaspers, & Brewton, 2016). To date, there is only limited consensus regarding appropriate scoring metrics for screening, and there is evidence of the need for a developmental perspective (e.g., grade level) when determining which scoring metric to use (Jewell & Malecki, 2005; Malecki & Jewell, 2003) as well as a need to consider language background (e.g., Keller-Margulis, Payan, et al, 2016).…”
Section: We-cbmmentioning
confidence: 99%
“…When the criterion used to study the diagnostic accuracy of WE-CBM is the statewide achievement test, results suggest that the diagnostic accuracy of WE-CBM differs across outcome metrics and across students of diverse language backgrounds (Keller-Margulis, Payan, et al, 2016). The accurate-production index of CIWS and the production-independent metric of %CWS offering adequate diagnostic accuracy for fourth-grade students who were native English speakers, however, varied for students with diverse language backgrounds (Keller-Margulis, Payan, et al, 2016).…”
Section: We-cbmmentioning
confidence: 99%
“…Younger, elementary-age students tend to write less fluently than older, adolescent students (Keller-Margulis, Mercer, Payan, & McGee, 2015;McMaster et al, 2017), and across grade levels, males tend to show slower rates of writing fluency than females (Fearrington et al, 2014;McMaster et al 2017). Furthermore, compared to native English speakers, English writing fluency tends to grow at slower rates for students who are English language learners (ELLs) or from diverse linguistic backgrounds (Espin et al, 2008;Keller-Margulis, Payan, Jaspers, & Brewton, 2016).…”
mentioning
confidence: 99%