2007
DOI: 10.1080/02796015.2007.12087919
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Screening for At-Risk Readers in a Response to Intervention Framework

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Cited by 215 publications
(208 citation statements)
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“…Universal screening is an essential component of multi-tiered systems of support (MTSS) as it is often the first mechanism by which students are identified as at risk of future failure. Given the importance of universal screening outcomes, it is necessary for measures to be reliable, valid, and accurate to aid in the proper allocation of finite resources (Glover & Albers, 2007; Jenkins et al, 2007). Despite this importance, the current literature on traditional screening measures (i.e., CBMs) indicates that levels of diagnostic accuracy are often inadequate for use in decision making (e.g., Johnson, Jenkins, Petscher, & Catts, 2009; Petscher & Kim, 2011).…”
Section: Discussionmentioning
confidence: 99%
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“…Universal screening is an essential component of multi-tiered systems of support (MTSS) as it is often the first mechanism by which students are identified as at risk of future failure. Given the importance of universal screening outcomes, it is necessary for measures to be reliable, valid, and accurate to aid in the proper allocation of finite resources (Glover & Albers, 2007; Jenkins et al, 2007). Despite this importance, the current literature on traditional screening measures (i.e., CBMs) indicates that levels of diagnostic accuracy are often inadequate for use in decision making (e.g., Johnson, Jenkins, Petscher, & Catts, 2009; Petscher & Kim, 2011).…”
Section: Discussionmentioning
confidence: 99%
“…When dichotomizing state test scores into passing/failing, we used the passing standard in place during the 2015 administration (i.e., satisfactory and advanced categories, scaled score of 1,331 or higher was passing). Although various guidelines exist for acceptable levels of diagnostic accuracy (.70 to .90; Compton, Fuchs, Fuchs, & Bryant, 2006; Jenkins, Hudson, & Johnson, 2007; Johnson, Jenkins, & Petscher, 2010), a recent meta-analysis suggests .80 for sensitivity and .70 for specificity, when used in screening decisions (Kilgus, Methe, Maggin, & Tomasula, 2014). For this study, ROC curves were used to identify the cut score that maximized sensitivity and specificity, with a minimum specificity of .70.…”
Section: Methodsmentioning
confidence: 99%
“…Ideally, a test would have 100% sensitivity and 100% specificity. In practice this is not possible due to measurement error and the difficulty measuring complicated constructs such as reading (Jenkins, Hudson, & Johnson, 2007). In the school setting, educators need to balance between the two probabilities, but both sensitivity and specificity need be high for screening tools.…”
Section: Diagnostic Accuracymentioning
confidence: 99%
“…Some students are identified at risk on a screener, but do not have a reading problem. These false positives result in overidentification of students and force schools to utilize more time and materials by providing services to students who do not require them (Jenkins et al, 2007). Overidentification can hinder systems that are seeking to target supports (Compton et al, 2010) and false negatives in which a student passes a reading screener, but fails the end of the year test.…”
Section: Diagnostic Accuracymentioning
confidence: 99%
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