Several scholars have recommended using data from neuropsychological tests to develop interventions for reading and mathematics. The current study examined the effects of using neuropsychological data within the intervention process with meta-analytic procedures. A total of 1,126 articles were found from an electronic search and compared to inclusion criteria, which resulted in 37 articles that were included in the current study. Each article was coded based on how the data were used (screening-86% or designing interventions-14%), size of the group for which interventions were delivered (small group-45%, individual students-45%, or entire classroom-10%), and type of data collected (cognitive functions-24%, reading fluency-33%, phonemic/phonological awareness-35%, or mixed-8%). A corrected Hedges' g was computed for every study and reported for variables of interest. A Fail-safe N was also computed to determine how many studies with a zero effect would have to be found to change the conclusions. The data resulted in a small effect (g = 0.17) for measures of cognitive functioning, but moderate effects of g = 0.43 and g = 0.48 for measures of reading fluency and phonemic/phonological awareness. There were few studies that examined measures of cognitive functioning within the intervention process. Taken together with previous research, the data do not support the use of cognitive measures to develop interventions but instead favor more direct measures of academic skills (e.g., reading fluency) in a skill-by-treatment interaction. Implications for practice and future research are discussed.

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The current study examined the relationship between oral reading fluency (ORF) and reading comprehension for students in second grade. A total of 84 participants were randomly assigned to one of four conditions that involved reading a grade-appropriate passage with either 0%, 10%, 20%, or 30% scrambled words and answering subsequent comprehension questions. The correlation coefficient between ORF and the number of comprehension questions correctly answered was r = .54. Receiver operating characteristics were then used to empirically derive a minimum ORF score necessary for comprehension, indicating that when these students read 63 words correct per minute they successfully comprehended what they read. Finally, the diagnostic accuracy of the derived criterion of 63 words read correctly per minute was tested and resulted in overall correct classification of .80. C

This book, and several previous publications, has argued convincingly the need for universal screening to systematically identify students at risk for difficulties (Deno, 2003). Universal screening emerged from prevention science, in which the goal is to identify key risk and protective factors related to a problem, measure the factors, and deliver services based on assessment results (Coie et al., 1993). The process for implementing a prevention approach within an educational setting starts with school personnel identifying screening measures that assess areas for preventive intervention that predict future academic outcomes (Jenkins, Hudson, & Johnson, 2007) and that are aligned with the curriculum and instruction delivered within the school system (Ikeda, Neesen, & Witt, 2008).Although identifying students who are at risk for failure is an important step in the prevention process, the data also should be useful in making service delivery decisions for individuals and groups of students.