Jennifer K. Gilbert

Teaching Writing to Elementary Students in Grades 4–6: A National Survey

A random sample of elementary teachers in grades 4–6 from across the United States were surveyed about their writing practices. Their responses raised concerns about the quality of writing instruction in upper-elementary grades. Almost two-thirds of the teachers reported that the teacher education courses they took in college provided them with little preparation to teach writing. They also reported that they teach writing for only 15 minutes a day and their students spend just 25 minutes a day writing texts of paragraph length or longer. The writing activities they mostly assigned involved writing-to-learn activities, but other important types of writing like persuasive writing, writing to inform, writing to describe, and research reports were assigned infrequently. Teachers reported using a wide range of evidenced-based instructional practices, but most of these practices were used infrequently. They make a variety of different types of adaptations for weaker writers, and most of these adaptations were applied frequently.

Evidence-Based Practices in a Changing World Reconsidering the Counterfactual in Education Research

Experimental and quasi-experimental designs are used in educational research to establish causality and develop effective practices. These research designs rely on a counterfactual model that, in simple form, calls for a comparison between a treatment group and a control group. Developers of educational practices often assume that the population from which control groups are drawn is unchanging in its behavior or performance. This is not always the case. Populations and study samples can change over time—sometimes dramatically so. We illustrate this important point by presenting data from 5 randomized control trials of the efficacy of Kindergarten Peer-Assisted Learning Strategies, a supplemental, peer-mediated reading program. The studies were conducted across 9 years and involved 2,591 students. Findings demonstrate a dramatic increase in the performance of control students over time, and suggest the need for a more nuanced understanding of the counterfactual model and its role in establishing evidence-based practices.

Accelerating Chronically Unresponsive Children to Tier 3 Instruction What Level of Data Is Necessary to Ensure Selection Accuracy

Response-to-intervention (RTI) approaches to disability identification are meant to put an end to the so-called wait-to-fail requirement associated with IQ discrepancy. However, in an unfortunate irony, there is a group of children who wait to fail in RTI frameworks. That is, they must fail both general classroom instruction (Tier 1) and small-group intervention (Tier 2) before becoming eligible for the most intensive intervention (Tier 3). The purpose of this article was to determine how to predict accurately which at-risk children will be unresponsive to Tiers 1 and 2, thereby allowing unresponsive children to move directly from Tier 1 to Tier 3. As part of an efficacy study of a multitier RTI approach to prevention and identification of reading disabilities (RD), 129 first-grade children who were unresponsive to classroom reading instruction were randomly assigned to 14 weeks of small-group, Tier 2 intervention. Nonresponders to this instruction (n = 33) were identified using local norms on first-grade word identification fluency growth linked to a distal outcome of RD at the end of second grade. Logistic regression models were used to predict membership in responder and nonresponder groups. Predictors were entered as blocks of data from least to most difficult to obtain: universal screening data, Tier 1 response data, norm referenced tests, and Tier 2 response data. Tier 2 response data were not necessary to classify students as responders and nonresponders to Tier 2 instruction, suggesting that some children can be accurately identified as eligible for Tier 3 intervention using only Tier 1 data, thereby avoiding prolonged periods of failure to instruction.

Multisyllabic Word Reading as a Moderator of Morphological Awareness and Reading Comprehension

The purpose of this study was to investigate whether the relation between morphological awareness on reading comprehension is moderated by multisyllabic word reading ability in fifth-grade students (N = 169, 53.7% female, 65.2% minority status, 69.2% free/reduced lunch status), oversampled for poor reading skill, when controlling for general knowledge and vocabulary. Based on the lexical quality hypothesis, it was expected that morphological awareness would have a stronger effect on comprehension for children with poor word reading skills, suggesting possible use of morphological awareness for word identification support. Results indicated that neither morphological awareness nor word reading was uniquely associated with reading comprehension when both were included in the model along with vocabulary and general knowledge. Instead, the interaction between word reading and morphological awareness explained significant additional variance in reading comprehension. By probing this interaction, it was determined that the effect of morphological awareness on reading comprehension was significant for the 39% of the sample that had more difficulty reading multisyllabic words but not for students at the higher end of the multisyllabic word reading continuum. We conclude from these results that the relation between morphological awareness and reading comprehension is moderated by multisyllabic word reading ability, providing support for the lexical quality hypothesis. Although we have only correlational data, we suggest tentative instructional practices for improving the reading skill of upper elementary struggling readers.

Understanding Unresponsiveness to Tier 2 Reading Intervention: Exploring the Classification and Profiles of Adequate and Inadequate Responders in First Grade.

The purpose of the current study was to examine academic and cognitive profiles of first graders who responded adequately and inadequately to intensive small-group reading intervention (Tier 2), as well as assess how these profiles differ based on the criteria used for classification of unresponsiveness. Nonresponders were identified using two different methods: (a) reading composite with weighted standardized scores for untimed word identification and word attack, timed sight word reading and decoding, and reading comprehension at the end of first grade (n = 23; 18.4%), and (b) local norms on first grade word identification fluency (WIF; n = 31; 24.8%). Repeated measures ANOVAs were used to assess the difference between responders and nonresponders on four separate profiles (i.e., academic and cognitive profiles, with groups identified using reading composite and WIF criteria for unresponsiveness). Significant level effects were found using the first-grade reading composite and the WIF criteria, indicating that the groups differ from one another across domains. Interestingly, there were only significant shape effects found when using the WIF criteria, suggesting relative strengths and weaknesses distinguish the groups. These findings suggest potentially important considerations related to identification and placement of students in appropriately intensive and targeted interventions.

Early Screening for Risk of Reading Disabilities: Recommendations for a Four-Step Screening System.

Response-to-intervention (RTI) models incorporate a screening process to identify students who appear to be at risk for learning disabilities (LDs). The purpose of this position article is to incorporate what is known about screening into a flexible, yet comprehensive screening system to help school psychologists and other school administrators in establishing school-specific screening procedures. The authors begin by discussing past research on screening for reading disabilities (RDs) within the RTI framework. Then, they propose a four-step screening system advocating a short screener (Step 1), progress monitoring (Step 2), follow-up testing (Step 3), and ongoing revision of procedures and cut scores (Step 4). Their goal is to improve screening within RTI systems with practical procedures to permit schools to implement state-of-the-art screening batteries that accurately and efficiently distinguish students who are at high risk for RD.

Modeling Polymorphemic Word Recognition Exploring Differences Among Children With Early-Emerging and Late-Emerging Word Reading Difficulty

Comprehensive models of derived polymorphemic word recognition skill in developing readers, with an emphasis on children with reading difficulty (RD), have not been developed. The purpose of the present study was to model individual differences in polymorphemic word recognition ability at the item level among 5th-grade children (N = 173) oversampled for children with RD using item-response crossed random-effects models. We distinguish between two subtypes of RD children with word recognition problems, those with early-emerging RD and late-emerging RD. An extensive set of predictors representing item-specific knowledge, child-level characteristics, and word-level characteristics were used to predict item-level variance in polymorphemic word recognition. Results indicate that item-specific root word recognition and word familiarity; child-level RD status, morphological awareness, and orthographic choice; word-level frequency and root word family size; and the interactions between morphological awareness and RD status and root word recognition and root transparency predicted individual differences in polymorphemic word recognition item performance. Results are interpreted within a multisource individual difference model of polymorphemic word recognition skill spanning item-specific, child-level, and word-level knowledge.

Explanatory Multidimensional Multilevel Random Item Response Model: An Application to Simultaneous Investigation of Word and Person Contributions to Multidimensional Lexical Representations

This paper presents an explanatory multidimensional multilevel random item response model and its application to reading data with multilevel item structure. The model includes multilevel random item parameters that allow consideration of variability in item parameters at both item and item group levels. Item-level random item parameters were included to model unexplained variance remaining when item related covariates were used to explain variation in item difficulties. Item group-level random item parameters were included to model dependency in item responses among items having the same item stem. Using the model, this study examined the dimensionality of a person’s word knowledge, termed lexical representation, and how aspects of morphological knowledge contributed to lexical representations for different persons, items, and item groups.

Development of First-Graders’ Word Reading Skills For Whom Can Dynamic Assessment Tell Us More?

Dynamic assessment (DA) of word reading measures learning potential for early reading development by documenting the amount of assistance needed to learn how to read words with unfamiliar orthography. We examined the additive value of DA for predicting first-grade decoding and word recognition development while controlling for autoregressive effects. Additionally, we examined whether predictive validity of DA would be higher for students who have poor phonological awareness skills. First-grade students (n = 105) were assessed on measures of word reading, phonological awareness, rapid automatized naming, and DA in the fall and again assessed on word reading measures in the spring. A series of planned, moderated multiple regression analyses indicated that DA made a significant and unique contribution in predicting word recognition development above and beyond the autoregressor, particularly for students with poor phonological awareness skills. For these students, DA explained 3.5% of the unique variance in end-of-first-grade word recognition that was not attributable to autoregressive effect. Results suggest that DA provides an important source of individual differences in the development of word recognition skills that cannot be fully captured by merely assessing the present level of reading skills through traditional static assessment, particularly for students at risk for developing reading disabilities.

Exploring individual differences in irregular word recognition among children with early-emerging and late-emerging word reading difficulty.

Models of irregular word reading that take into account both child- and word-level predictors have not been evaluated in typically developing children and children with reading difficulty (RD). The purpose of the present study was to model individual differences in irregular word reading ability among 5th grade children (N = 170), oversampled for children with RD, using item-response crossed random-effects models. We distinguish between 2 subtypes of children with word reading RD, those with early emerging and late-emerging RD, and 2 types of irregular words, “exception” and “strange.” Predictors representing child-level and word-level characteristics, along with selected interactions between child- and word-characteristics, were used to predict item-level variance. Individual differences in irregular word reading were predicted at the child level by nonword decoding, orthographic coding, and vocabulary; at the word level by word frequency and a spelling-to-pronunciation transparency rating; and by the Reader group × Imageability and Reader group × Irregular word type interactions. Results are interpreted within a model of irregular word reading in which lexical characteristics specific to both child and word influence accuracy.