The purpose of this paper is to describe what we know and what we still need to learn about literacy intervention for children who experience significant difficulties learning to read. We reviewed 14 ...meta-analyses and systematic reviews of experimental and quasi-experimental studies published in the last decade that examined the effects of reading and writing interventions in the elementary grades, including research focused on students with reading difficulties and disabilities, including dyslexia. We attended to moderator analyses, when available, to further refine what we know and need to learn about interventions. Findings from these reviews indicate that explicit and systematic interventions focusing on the code "and" meaning dimensions of reading and writing, and delivered one-to-one or in small groups, are likely to improve foundational code-based reading skills, and to a lesser extent, meaning-based skills, across elementary grade levels. Findings, at least in the upper elementary grades, indicate that some intervention features including standardized protocols, multiple components, and longer duration can yield stronger effects. And, integrating reading and writing interventions shows promise. We still need to learn more about specific instructional routines and components that provide more robust effects on students' ability to comprehend and individual differences in response to interventions. We discuss limitations of this review of reviews and suggest directions for future research to optimize implementation, particularly to understand "for whom" and "under what conditions" literacy interventions work best. For the corresponding grantee submission, see ED623078.
Effects from different studies of reading and mindset interventions are inconsistent, pointing to the need to investigate moderating factors affecting response. In this study, we implemented two ...intensive intervention conditions for fourth-grade students with/at risk for reading disabilities (N = 360). One intervention condition included reading intervention only, whereas the other intervention condition incorporated both reading and mindset interventions. Through exploratory analyses, we examined student characteristics (sex, race/ethnicity, mindset) as moderators of the effects of the interventions on mindset, word attack, and reading comprehension outcomes and also explored potential interactions. Overall, we found no differential outcomes of intervention by race, sex, or initial mindset level. Our exploration of the interactions also did not yield any significant effects; however, we were limited by small sample sizes in subgroups. Overall, more research is needed to explore potential interactions moderating intervention outcomes.
Using a longitudinal cluster-randomized controlled design, we examined whether students' reading outcomes differed when they received 1, 2, or 3 years of individualized reading instruction from first ...through third grade, compared with a treated control group. More than 45% of students came from families living in poverty. Following students, we randomly assigned their teachers each year to deliver individualized reading instruction or a treated control condition intervention focused on mathematics. Students who received individualized reading instruction in all three grades showed the strongest reading skills by the end of third grade compared with those who received fewer years of such instruction. There was inconsistent evidence supporting a sustained first-grade treatment effect: Individualized instruction in first grade was necessary but not sufficient for stronger third-grade reading outcomes. These effects were achieved by regular classroom teachers who received professional development, which indicates that policies that support the use of evidence-based reading instruction and teacher training can yield increased student achievement.
Complex research questions often need large samples to obtain accurate estimates of parameters and adequate power. Combining extant data sets into a large, pooled data set is one way this can be ...accomplished without expending resources. Measurement invariance (MI) modeling is an established approach to ensure participant scores are on the same scale. There are two major problems when combining independent data sets through MI. First, sample sizes will often be large leading to small differences becoming noninvariant. Second, not all data sets may include the same combination of measures. In this article, we present a method that can deal with both these problems and is user friendly. It is a combination of generating random normal deviates for variables missing completely in combination with assessing model fit using the root mean square error of approximation good enough principle, based on the hypothesis that the difference between groups is not zero but small. We demonstrate the method by examining MI across eight independent data sets and compare the MI decisions of the traditional and good enough approach. Our results show the approach has potential in combining educational data.
This study examined the response of two students in the Southwestern United States with autism spectrum disorder and IQ in the intellectual disability range to a comprehensive, text-based reading ...intervention. The intervention, Friends on the Block, includes multiple strands of literacy providing explicit instruction in phonics, phonemic awareness, high-frequency irregular or temporarily irregular words, decoding, vocabulary, oral language, and comprehension. Multiple supports for students with intensive needs are embedded within the intervention, such as specially designed multi-criteria books, extensive scaffolding, and intensive cumulative review. Teachers customize the program to address the varying needs of students. We used single-case multiple baselines across levels of instruction design to assess growth on a measure of reading (words read correctly). Results indicated a positive, functional relation between reading intervention and word reading. Both students also demonstrated modest growth on measures of phonemic awareness, letter–sound knowledge, and word identification from pre- to post-intervention.
In the USA, many states have adopted response to intervention or multi-tiered systems of supports to provide early intervention. However, there is considerable variability in how states and schools ...implement RTI. Teachers are responsible for using student data from RTI to inform instructional decisions for students with or at risk for dyslexia, so it is necessary to understand the knowledge they have about the structure of RTI in their individual schools. This study reviews the results of an exploratory factor analysis of a survey aimed at measuring teachers’knowledge about RTI implementation and their understanding of RTI implementation within their school. The 52-item survey was administered online to 139 general and special education teachers. The three final factors from this factor analytic work were (1) Teacher Knowledge about Tier 1 Implementation, (2) Teacher Knowledge about Leadership and School Systems, and (3) Teacher Knowledge about Data-Based Decision Making. Factor determinacy scores demonstrated that the survey had high internal consistency. On average, teachers’ survey scores were higher on the first two factors and slightly lower on the third factor. Implications of the findings for teachers of students with learning disabilities, including dyslexia, and directions for future research were discussed.
The primary purpose of this study was to identify student characteristics that reliably predict responsiveness and nonresponsiveness to generally effective early literacy interventions. Participants ...were 104 children, including 7 with special needs and Individualized Education Programs (IEPs), who were tested in kindergarten and first grade. Responsiveness/nonresponsiveness status was determined after 2 years during which children participated in best practice instruction (a) in kindergarten and first grade, (b) in kindergarten only, (c) in first grade only, or (d) in neither year. This facilitated the study of three groups. Always responsive students met responsiveness criteria in both years. Sometimes responsive students met the criteria in only one year. Nonresponsive students did not meet the criteria in either year. Multivariate analysis of variance and discriminant function analysis indicated that the three groups were reliably different from one another on measures of problem behavior, verbal memory, sentence imitation, syntactic awareness, vocabulary, naming speed, and segmentation. A combination of naming speed, vocabulary, sentence imitation, problem behavior, and amount of intervention correctly predicted 82.1% of nonresponsive students, 30.0% of sometimes responsive students, and 84.1% of always responsive students. Fifty students from kindergarten and first grade were tested again at the end of what should have been their third-grade year. All but 1 of the nonresponsive students who received intervention had been identified as requiring special education and had an IEP with reading goals.
Recent achievement research suggests that executive function (EF), a set of regulatory processes that control both thought and action necessary for goal-directed behavior, is related to typical and ...atypical reading performance. This project examines the relation of EF, as measured by its components, Inhibition, Updating Working Memory, and Shifting, with a hybrid model of reading disability (RD). Our sample included 420 children who participated in a broader intervention project when they were in KG-third grade (age
= 6.63 years,
= 1.04 years, range = 4.79-10.40 years). At the time their EF was assessed, using a parent-report Behavior Rating Inventory of Executive Function (BRIEF), they had a mean age of 13.21 years (
= 1.54 years; range = 10.47-16.63 years). The hybrid model of RD was operationalized as a composite consisting of four symptoms, and set so that any child could have any one, any two, any three, any four, or none of the symptoms included in the hybrid model. The four symptoms include low word reading achievement, unexpected low word reading achievement, poorer reading comprehension compared to listening comprehension, and dual-discrepancy response-to-intervention, requiring both low achievement and low growth in word reading. The results of our multilevel ordinal logistic regression analyses showed a significant relation between all three components of EF (Inhibition, Updating Working Memory, and Shifting) and the hybrid model of RD, and that the strength of EF's predictive power for RD classification was the highest when RD was modeled as having at least one or more symptoms. Importantly, the chances of being classified as having RD increased as EF performance worsened and decreased as EF performance improved. The question of whether any one EF component would emerge as a superior predictor was also examined and results showed that Inhibition, Updating Working Memory, and Shifting were equally valuable as predictors of the hybrid model of RD. In total, all EF components were significant and equally effective predictors of RD when RD was operationalized using the hybrid model.
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