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The primary purpose of this study was to examine several key questions related to the neuropsychological contributors to early written language. First, can we develop an empirical measurement model that encompasses many of the neuropsychological components that have been deemed as important to the development of written language? Second, once derived, will the neuropsychological components of this model remain stable over first and second grades or will the model change in its composition? Third, will the strength of the relationships between neuropsychological components and writing outcomes be constant over time, or will the strength of the relationships change over time? Finally, will the derived empirical model show significant concurrent and predictive relationships with written expression? The sample included 205 first grade students recruited from a single school district who were followed into the second grade via two cohorts: Measures were aligned with major neuropsychological components as extracted from theoretical models of written expression and available empirical findings examining the neuropsychological contributors to writing in children.

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This longitudinal study was conducted to determine (a) the rate of co-occurrence of reading disabilities (RDs) in a writing disability (WD) population of students followed from first grade to fourth grade and (b) the cognitive burden that is assumed by having a WD and a RD (WD + RD). The sample included 137 first-grade students from a single school district who initially were placed into three groups based on the Wechsler Individual Achievement Test–Second Edition (WIAT-II) Written Expression subtest: Typically Developing (TD; n = 83), WD-Only ( n = 38), and WD + RD ( n = 16). Results indicated that the rate of a WD + RD increased with advancing grades, ranging from 30% in first grade to 47% in fourth grade. This increase was secondary to the instability of group membership across all three groups. The number of students with a WD + RD remained relatively constant over the 4 years, with about 50% of first-grade students with a WD + RD continuing to manifest this co-occurrence through the fourth grade. There was increased cognitive burden for the students in the WD + RD group across the four grades in language and executive dysfunctions. Along with the use of progress monitoring strategies for both reading and writing in the early grades, these findings suggest the importance of assessing the cognitive underpinnings for students with a WD + RD.

This study examined gains in written language as assessed by targeted curriculum-based measures (CBMs), and explored how these gains were affected by moderator variables of specific cognitive functions and student subgroups. The sample included 68 second grade students who were at risk for writing disabilities. Handwritten compositions were collected throughout a written

Researchers often use measures of the frequency of self-regulated learning (SRL; Zimmerman, American Educational Research Journal, 45(1), 166-183, 2000) processing as a predictor of learning gains. These frequency data, which are really counts of SRL processing events, are often non-normally distributed, and the accurate analysis of these data requires the use of specialized statistical models. In this study, we demonstrate how to implement and interpret count statistical models in path and latent profile analyses to investigate the role of SRL as a mediator of the relation between pretest and posttest conceptual understanding. Our findings from a sample of 170 college students using a computer to learn about the circulatory system show that SRL does mediate the aforementioned relation, and that count models are a more accurate representation of SRL processing data than standard analysis models based on ordinary least squares estimation. The results of our path analyses revealed which specific SRL processes were related to learning, above and beyond the effect of prior knowledge. Our latent profile analysis revealed two groups of participants, indicative of Brophy's (2004) model of schematic and aschematic learners. We conclude with implications and future directions for basic and applied SRL research.