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Few studies have systematically investigated the reading skill profiles of English Learners (ELs) in late elementary school, a critical developmental period for language and literacy and the most common grades for initial identification with specific learning disabilities (O’Connor et al., 2013). We investigated the reading skill profiles of 331 ELs in 3(rd) and 4(th) grades, including ELs with and without risk for dyslexia due to significant deficits in word and pseudo-word reading accuracy and fluency. We utilized latent profile analysis and factor mixture modeling to investigate: (1) the nature and distribution of reading skill profiles; (2) whether these profiles were associated with differences in reading comprehension growth across one academic year; and (3) the stability of reading profiles across an academic year. We selected a two class solution (reading disabled and typically developing) based on model fit indices, theoretical considerations, pattern of results across profile-solutions and time-points, and parameterizations, making the approach stronger and more generalizable. These classes demonstrated clear, consistent differences in performance across reading component skills, with the RD class scoring consistently below the TD class across code-based and meaning-based domains of reading. Across the year, the TD class demonstrated significantly higher patterns of growth in reading comprehension (χ(2) (1) = 206.21, p < 0.001). Class membership was largely stable (97% of participants maintain class membership). These results suggest that ELs with risk for dyslexia demonstrate multiple component skill deficits that may require long-term, comprehensive, intensive interventions to remediate.

Adolescents’ school engagement is associated with high school completion; yet, few studies have examined interventions to improve school engagement for English Learners (ELs). In this mixed-methods...

The present study had two aims. First, we set out to evaluate the structure of processing speed in children by comparing five alternative models: two conceptual models (a unitary model, a complexity model) and three methodological models (a stimulus material model, an output response model, and a timing modality model). Second, we then used the resulting models to predict multiple types of reading, a highly important developmental outcome, using other well-known predictors as covariates. Participants were 844 children enrolled in third through fifth grade in urban public elementary schools who received 16 measures of processing speed that varied in the above dimensions. A two-factor complexity model that differentiated between simple and complex processing speed was the preferred model and fit the data well. Both types of PS predicted reading fluency, and complex (but not simple) PS predicted single word reading and comprehension. Results offer insight to the structure of processing speed, its relation to closely related concepts (such as executive function), and provide nuance to the understanding of the way processing speed influences reading.

Attention is correlated with reading, but the extent to which behavioral ratings and sustained attention relate to reading skills is unclear. We assessed 245 4(th) and 5(th) grade struggling readers (mean age = 10.3 years) on behavioral ratings of attention, sustained attention, and reading over a school year. Contributions of behavioral ratings and sustained attention were considered cross-sectionally and longitudinally in the context of other important predictors of reading. Results suggest that sustained measures and behavioral ratings assess distinct, yet overlapping, aspects of attention. Both types of attention accounted for unique variance in comprehension, but not word reading accuracy or fluency, when evaluated cross-sectionally. Results also support the role of behavioral ratings of attention in fluency and in comprehension growth. Findings suggest that multidimensional assessment of attention is useful when considering its relation to reading, and highlights the need to integrate conceptualizations of attention that arise from different theoretical approaches.

Cognitive predictors of reading are well known, but less is understood about the roles of “noncognitive” factors, including emotional variables such as anxiety. While math anxiety has been a focus of study, its analogue in the reading literature is understudied. We assessed struggling fourth and fifth graders (n = 272) on reading anxiety in the context of general anxiety, cognitive predictors (working memory, verbal knowledge), and demographics. Regressions tested for unique contributions to three reading outcomes: word reading accuracy, oral reading fluency, and reading comprehension. Reading anxiety and general anxiety correlated moderately (r = .63) but were differentially related to reading. Reading anxiety predicted comprehension when all other predictors were considered, and predicted oral reading fluency until word reading accuracy was added to the model. Results offer a more nuanced understanding of the nature of reading anxiety, and its implications for struggling readers.

This study examined the effects of Reading Intervention for Adolescents, a 2-year extensive reading intervention targeting current and former English learners identified as struggling readers based on their performance on the state accountability assessment. Students who enrolled at three participating urban high schools were randomly assigned to the Reading Intervention for Adolescents treatment condition (n = 175) or a business-as-usual comparison condition. Students assigned to the treatment condition participated in the intervention for approximately 50 min daily for 2 school years in lieu of a school-provided elective course, which business-as-usual students took consistent with typical scheduling. Findings revealed significant effects for the treatment condition on sentence-level fluency and comprehension (g = 0.18) and on a proximal measure of vocabulary learning (g = .41), but not on standardized measures of word reading, vocabulary, or reading comprehension (g range: −0.09 to 0.06). Post hoc moderation analyses investigated whether initial proficiency levels interacted with treatment effects. On sentence-level fluency and comprehension and on vocabulary learning, initial scores were significantly associated with treatment effects—however, in opposite directions. Students who scored low at baseline on sentence reading and comprehension scored relatively higher at posttest on that measure, whereas students who scored high at baseline on the proximal vocabulary measure scored relatively higher at posttest on that measure. The discussion focuses on the difficulty of remediating persistent reading difficulties in high school, particularly among English learners, who are often still in the process of acquiring academic proficiency in English. (PsycINFO Database Record (c) 2019 APA, all rights reserved)

This study investigated the word reading and listening comprehension difficulties of fourth-grade students with significant reading comprehension deficits and the cognitive difficulties that underlie these weaknesses. Latent profile analysis was used to classify a sample of fourth-grade students ( n = 446) who scored below the 16th percentile on a measure of reading comprehension into subgroups based on their performance in word reading (WR) and listening comprehension (LC). Three latent profiles emerged: (a) moderate deficits in both WR and LC of similar severity (91%), (b) severe deficit in WR paired with moderate LC deficit (5%), and (c) severe deficit in LC with moderate WR difficulties (4%). Analyses examining the associations between cognitive attributes and group membership indicated students with lower performance on cognitive predictors were more likely to be in a severe subgroup. Implications for educators targeting improved reading performance for upper elementary students with significant reading difficulties were discussed.

This article addresses the nature of dyslexia and best practices for identification and treatment within the context of multitier systems of support (MTSS). We initially review proposed definitions of dyslexia to identify key commonalities and differences in proposed attributes. We then review empirical evidence for proposed definitional attributes, focusing on key sources of controversy, including the role of IQ, instructional response, as well as issues of etiology and immutability. We argue that current empirical evidence supports a dyslexia classification marked by specific deficits in reading and spelling words combined with inadequate response to evidence-based instruction. We then propose a “hybrid” dyslexia identification process built to gather data relevant to these markers of dyslexia. We argue that this assessment process is best implemented within school-wide MTSS because it leverages data routinely collected in well-implemented MTSS, including documentation of student progress and fidelity of implementation. In contrast with other proposed methods for learning disability (LD) identification, the proposed “hybrid” method demonstrates strong evidence for valid decision-making and directly informs intervention.

Relations of visual attention to reading have long been hypothesized; however, findings in this literature are quite mixed. These relations have been investigated using several different visual attention paradigms and with variable controls for other competing reading-related processes. We extended current knowledge by evaluating four of the key visual attention paradigms used in this research-visual attention span, attention blink, visual search, and visuospatial attention-in a single study. We tested the relations of these to reading in 90 middle schoolers at high risk for reading difficulties while considering their effect in the context of known language predictors. Performance on visual-spatial, visual search, and attentional blink paradigms showed weak nonsignificant relations to reading. Visual attention span tasks showed robust relations to reading even when controlling for language, but only when stimuli were alphanumeric. Although further exploration of visual attention in relation to reading may be warranted, the robustness of this relationship appears to be questionable, particularly beyond methodological factors associated with the measurement of visual attention. Findings extend and refine our understanding of the contribution of attention to reading skill and raise questions about the mechanism by which visual attention is purported to affect reading.

This study examined how differences in listening comprehension and word reading at the beginning of the school year influence changes in reading comprehension for English learners (ELs) with significant reading difficulties compared to non-ELs with significant reading difficulties. The study investigated heterogeneity in response to instruction among 400 struggling readers in fourth grade ( n = 183 for non-EL; n = 217 for EL) who received an intensive reading intervention. At pretest, word reading, listening comprehension, and reading comprehension were measured, and at posttest, reading comprehension was measured again. Results from moderated multiple regression analyses showed a significant three-way interaction such that reading comprehension at posttest was higher for ELs than non-ELs with similar levels of low word reading but relatively higher levels of listening comprehension. However, non-ELs outperformed ELs with similar levels of relatively high word reading and average to high listening comprehension. The findings suggest that pre-intervention skill profiles may need to be interpreted differently for ELs and non-ELs with significant reading difficulties in relation to language and literacy outcomes.

Objective Executive function (EF) is a commonly used but difficult to operationalize construct. In this study, we considered EF and related components as they are commonly presented in the neuropsychological literature, as well as the literatures of developmental, educational, and cognitive psychology. These components have not previously been examined simultaneously, particularly with this level of comprehensiveness, and/or at this age range or with this sample size. We expected that the EF components would be separate but related, and that a bifactor model would best represent the data relative to alternative models. Method We assessed EF with 27 measures in a large sample (N = 846) of late elementary school-age children, many of whom were struggling in reading, and who were demographically diverse. We tested structural models of EF, from unitary models to methodological models, utilizing model-comparison factor analytic techniques. We examined both a common factor as well as a bifactor structure. Results Initial models showed strong overlap among several latent EF variables. The final model was a bifactor model with a common EF, and five specific EF factors (working memory-span/manipulation and planning; working memory-updating; generative fluency, self-regulated learning; metacognition). Conclusions Results speak to the commonality and potential separability of EF. These results are discussed in light of prevailing models of EF and how EF might be used for structure/description, prediction, and for identifying its mechanism for relevant outcomes. (PsycINFO Database Record

We examined the effectiveness of a researcher-provided reading intervention with 484 fourth graders with significant reading difficulties. Students were randomly assigned to one year of intervention, two years of intervention, or a business-as-usual comparison condition (BAU). Students assigned to two years of intervention demonstrated significantly greater gains in reading fluency compared to students who received one year of intervention and the BAU group. Students in both the one- and two-year groups demonstrated similar and significantly larger gains in word reading in comparison to the BAU group. There were no statistically significant differences between the three groups on standardized measures of reading comprehension. We discuss these results in the context of research with late elementary and secondary students targeting reading comprehension.

Few studies have investigated specific learning disabilities (SLD) identification methods based on the identification of patterns of processing strengths and weaknesses (PSW). We investigated the reliability of SLD identification decisions emanating from different achievement test batteries for 1 method to operationalize the PSW approach: the concordance/discordance model (C/DM; Hale & Fiorello, 2004). Two studies examined the level of agreement for SLD identification decisions between 2 different simulated, highly correlated achievement test batteries. Study 1 simulated achievement and cognitive data across a wide range of potential latent correlations between an achievement deficit, a cognitive strength and a cognitive weakness. Latent correlations permitted simulation of case-level data at specified reliabilities for cognitive abilities and 2 achievement observations. C/DM criteria were applied and resulting SLD classifications from the 2 achievement test batteries were compared for agreement. Overall agreement and negative agreement were high, but positive agreement was low (0.33-0.59) across all conditions. Study 2 isolated the effects of reduced test reliability on agreement for SLD identification decisions resulting from different test batteries. Reductions in reliability of the 2 achievement tests resulted in average decreases in positive agreement of 0.13. Conversely, reductions in reliability of cognitive measures resulted in small average increases in positive agreement (0.0-0.06). Findings from both studies are consistent with prior research demonstrating the inherent instability of classifications based on C/DM criteria. Within complex ipsative SLD identification models like the C/DM, small variations in test selection can have deleterious effects on classification reliability. (PsycINFO Database Record

Executive function (EF) is related to reading. However, there is a lack of clarity around (a) the relative contribution of different components of EF to different reading components (word reading, fluency, comprehension), and (b) how EF operates in the context of known strong language predictors (e.g., components of the Simple View of Reading or SVR), and other skills theoretically related to reading (e.g., vocabulary, processing speed) and/or to EF (e.g., short-term memory, motor function). In a large sample of 3(rd) to 5(th) graders oversampled for struggling readers, this paper evaluates the impact of EF derived from a bifactor model (Cirino, Ahmed, Miciak, Taylor, Gerst, & Barnes, 2018) in the context of well-known covariates and demographics. Beyond common EF, five specific factors (two related to working memory, and factors of fluency, self-regulated learning, and behavioral inattention/metacognition) were addressed. EF consistently showed a unique contribution to already-strong predictive models for all reading outcomes; for reading comprehension, EF interacted with SVR indices (word reading and listening comprehension). The findings extend and refine our understanding of the contribution of EF to reading skill.

This study investigated the extent to which problem behaviors were factors associated with response to a year-long multicomponent reading intervention for fourth- and fifth-grade students with reading difficulties. Students scoring ≤85 standard score on the Test of Silent Reading Efficiency and Comprehension ( n = 108), a reading fluency and comprehension screener measure, were randomized to the researcher-provided treatment condition ( n = 55) or the business-as-usual comparison condition ( n = 53). Results indicated that problem behaviors were associated with lower reading comprehension outcomes. Findings also suggested that students with higher levels of overall problem behaviors and externalizing behaviors in the treatment condition outperformed similar students in the comparison condition on the Gates-MacGinitie Reading Test ( p < .05). Future research is needed on how to best identify, develop, and adapt effective interventions for students with reading difficulties and problem behaviors within school-wide response to intervention frameworks.

There is controversy regarding the relative merits of cognitive assessment for the identification of learning disabilities. Proponents of cognitive assessment have suggested that multitiered systems of support (MTSS) should be supplemented with routine, systematic assessment of cognitive processes following a determination of inadequate response to evidence-based interventions in order to document a pattern of processing strengths and weaknesses (PSW methods) as an inclusionary criterion for learning disabilities. However, the financial costs incurred by this addition to MTSS are not well known. In the present study, we present a systematic case study to estimate the costs associated with adopting routine assessment of cognitive processing for students referred for special education evaluation. We estimate that implementation within a district would cost between $1,960 and $2,400 per student, assuming no existing infrastructure. These expenses are discussed in relation to evidence for the educational value of such assessments and inherent trade-offs between assessment and intervention.

We investigated the classification accuracy of learning disability (LD) identification methods premised on the identification of an intraindividual pattern of processing strengths and weaknesses (PSW) method using multiple indicators for all latent constructs. Known LD status was derived from latent scores; values at the observed level identified LD status for individual cases according to the concordance/discordance method. Agreement with latent status was evaluated using (a) a single indicator, (b) two indicators as part of a test–retest “confirmation” model, and (c) a mean score. Specificity and negative predictive value (NPV) were generally high for single indicators (median specificity = 98.8%, range = 93.4%-99.7%; median NPV = 94.2%, range = 85.6%-98.7%), but low for sensitivity (median sensitivity = 49.1%, range = 20.3%-77.1%) and positive predictive value (PPV; median PPV = 48.8%, range = 23.5%-69.6%). A test–retest procedure produced inconsistent and small improvements in classification accuracy, primarily in “not LD” decisions. Use of a mean score produced small improvements in classifications (mean improvement = 2.0%, range = 0.3%-2.8%). The modest gains in agreement do not justify the additional testing burdens associated with incorporating multiple tests of all constructs.

We examined the efficacy of an afterschool multicomponent reading intervention for third- through fifth-grade students with reading difficulties. A total of 419 students were identified for participation based on a 90 standard score or below on a screening measure of the Test of Silent Reading Efficiency and Comprehension. Participating students were randomly assigned to a business as usual comparison condition or one of two reading treatments. All treatment students received 30 min of computer-based instruction plus 30 min of small-group tutoring for four to five times per week. No statistically significant reading comprehension posttest group differences were identified ( p > .05). The limitations of this study included high attrition and absenteeism. These findings extend those from a small sample of experimental studies examining afterschool reading interventions and provide initial evidence that more instruction, after school, may not yield the desired outcome of improved comprehension.

The role of executive function (EF) in the reading process, and in those with reading difficulties, remains unclear. As members of the Texas Center for Learning Disabilities, we review multiple perspectives regarding EF in reading and then summarize some of our recent studies of struggling and typical readers in grades 3-5. Study 1a found that a bi-factor structure best represented a comprehensive assessment of EF. Study 1b found that cognitive and behavioral measures of EF related independently to math and reading. Study 1c found that EF related to reading, above and beyond other variables, but Study 1d found no evidence that adding an EF training component improved intervention response. Study 1e found that pretest EF abilities did not relate to intervention response. Neuroimaging studies examined EF-related brain activity during both reading and nonlexical EF tasks. In Study 2a, the EF task evoked control activity, but generated no differences between struggling and typical readers. The reading task, however, had group differences in both EF and reading regions. In Study 2b, EF activity during reading at pretest was related to intervention response. Across studies, EF appears involved in the reading process. There is less evidence for general EF predicting or improving intervention outcomes.

This review documents the learning disabilities (LD) identification criteria and procedures utilized in empirical research including students with LD published from 2001 to 2013 in three journals dedicated to the study of LD. Results reveal several troublesome findings related to transparency in reporting and the coherence of the LD construct. Nearly one-third of all empirical studies investigating LD did not describe who identified the participants as having LD or how they were identified. Information on the specific area of LD was similarly lacking. Across studies, identification criteria varied widely. Moving forward, we contend that greater transparency and consistency with regard to the definition and operationalization of the construct of LD in empirical research is necessary if solidification of the scientific construct of LD is to be achieved.

Content Acquisition Podcasts for Teachers (CAP-T) are a form of multimedia-based instruction that are supported by an empirical record of effectiveness and are grounded in Mayer’s cognitive theory of multimedia learning and accompanying instructional design principles. In this study, 162 students enrolled in an introductory course in special education were assigned to watch CAP-Ts for a variety of topics throughout the semester. Students tracked their viewings per CAP-T and self-reported the number of views during the midterm and final examinations. Researchers included clusters of questions coded to each CAP-T on the exams. Linear regression was used to predict student performance on each cluster of questions based on the number of CAP-T viewings. Results show a positive, predictive relationship between CAP-T views and performance on midterm and final exam questions overall, but some unexpected findings emerged when looking at individual subcomponents of the assessments.

OBJECTIVE No previous empirical study has investigated whether the LD identification decisions of proposed methods to operationalize processing strengths and weaknesses (PSW) approaches for LD identification are associated with differential treatment response. We investigated whether the identification decisions of the concordance/discordance model (C/DM; Hale & Fiorello, 2004) and Cross Battery Assessment approach (XBA method; Flanagan, Ortiz, & Alfonso, 2007) were consistent and whether they predicted intervention response beyond that accounted for by pretest performance on measures of reading. METHOD Psychoeducational assessments were administered at pretest to 203 4th graders with low reading comprehension and individual results were utilized to identify students who met LD criteria according to the C/DM and XBA methods and students who did not. Resulting group status permitted an investigation of agreement for identification methods and whether group status at pretest (LD or not LD) was associated with differential treatment response to an intensive reading intervention. RESULTS The LD identification decisions of the XBA and C/DM demonstrated poor agreement with one another (κ = -.10). Comparisons of posttest performance for students who met LD criteria and those who did not meet were largely null, with small effect sizes across all measures. CONCLUSIONS LD status, as identified through the C/DM and XBA approaches, was not associated with differential treatment response and did not contribute educationally meaningful information about how students would respond to intensive reading intervention. These results do not support the value of cognitive assessment utilized in this way as part of the LD identification process.

Improving minority academic achievement is a primary goal for education policy makers. Despite resource allocations, gaps in minority accomplishments persist. Emerging research suggests language variety may hinder minority students, thereby slowing academic progress. This article synthesizes suggestions from a panel composed of experts in the field of language dialect education and findings from a literature review of best practices for addressing language variation in educational instruction. Unique findings from the research were presented to the Texas legislature to be used in shaping policy and practice for students who are standard English learners.

The criteria for identification of a specific learning disability (SLD) as outlined by a consensus group convened by the Office of Special Education Programs in the US Department of Education are discussed. Next, a hybrid approach to assessment is explained that puts a focus on assessments that inform instruction within a multi-tiered system of support. Measurement issues and challenges are described, as are methods for identifying SLD which, despite their common use in practice, lack validity. Finally, a set of operating principles designed to improve the reliability of diagnostic decisions are recommended.

We examine the efficacy of an intervention to improve word reading and reading comprehension in fourth- and fifth-grade students with significant reading problems. Using a randomized control trial design, we compare the fourth- and fifth-grade reading outcomes of students with severe reading difficulties who were provided a researcher-developed treatment with reading outcomes of students in a business-as-usual (BAU) comparison condition. A total of 280 fourth- and fifth-grade students were randomly assigned within school in a 1:1 ratio to either the BAU comparison condition ( n = 139) or the treatment condition ( n = 141). Treatment students were provided small-group tutoring for 30 to 45 minutes for an average of 68 lessons (mean hours of instruction = 44.4, SD = 11.2). Treatment students performed statistically significantly higher than BAU students on a word reading measure (effect size [ES] = 0. 58) and a measure of reading fluency (ES = 0.46). Though not statistically significant, effect sizes for students in the treatment condition were consistently higher than BAU students for decoding measures (ES = 0.06, 0.08), and mixed for comprehension (ES = -0.02, 0.14).

The goal of this study was to evaluate the extent to which training that emphasizes the process of executive function (EF) and self-regulated learning (SRL) would result in increased reading comprehension; we also evaluated interrelationships of EF, SRL, and reading. We report an experiment ( N = 75 fourth graders) that contrasted two researcher-implemented conditions (text-based reading [TB] and text-based reading plus executive function [TB+EF]) to a control. We also evaluated relationships among measures of SRL, EF, and reading. Both the TB and TB+EF groups outperformed the control group for proximal text comprehension (where the topic was similar to that covered in training) and background knowledge related to it, but the two researcher-led groups performed similarly. There were no significant differences for less proximal text, and again similar performance for both TB and TB+EF. Correlations among measures were weak in general, although the pattern was similar to that found in the extant literature. The findings speak to the difficulty in separating these components from those of strong instruction more generally. The relationships of these constructs to reading comprehension will likely be enhanced by more sensitive measurement of EF and reading comprehension, particularly where tied to active treatment components.

Given the significant literature supporting the use of curriculum-based measurement (CBM) for data-based decision making, it is critical that teacher candidates learn about it prior to student teaching and entry into the field as full-time teachers. The authors of this study used a content acquisition podcast (CAP), a multimedia-based instructional tool, to deliver information regarding CBM to teacher candidates. A second set of students received a practitioner-friendly text containing the same content as the CAP. Participants from three universities ( N = 270) were randomly assigned to condition and completed pretest, posttest, and maintenance probes of CBM knowledge and ability to apply skill. In addition, participants completed a measure of motivation during their instruction. Results showed that participants who learned using the CAP scored significantly higher on the knowledge and application measures and reported being more motivated during instruction than peers in the text-only condition. The authors discuss implications for teacher education instruction and future research.

We conducted a meta-analysis of 28 studies comprising 39 samples to ask the question, “What is the magnitude of the association between various baseline child cognitive characteristics and response to reading intervention?” Studies were located via literature searches, contact with researchers in the field, and review of references from the National Reading Panel Report. Eligible participant populations included at-risk elementary school children enrolled in the third grade or below. Effects were analyzed using a shifting unit of analysis approach within three statistical models: cognitive characteristics predicting growth curve slope (Model 1, mean r = .31), gain (Model 2, mean r = .21), or postintervention reading controlling for preintervention reading (Model 3, mean r = .15). Effects were homogeneous within each model when effects were aggregated within study. The small size of the effects calls into question the practical significance and utility of using cognitive characteristics for prediction of response when baseline reading is available.

Few empirical investigations have evaluated learning disabilities (LD) identification methods based on a pattern of cognitive strengths and weaknesses (PSW). This study investigated the reliability of LD classification decisions of the concordance/discordance method (C/DM) across different psychoeducational assessment batteries. C/DM criteria were applied to assessment data from 177 second-grade students based on 2 psychoeducational assessment batteries. The achievement tests were different, but were highly correlated and measured the same latent construct. Resulting LD identifications were then evaluated for agreement across batteries on LD status and the academic domain of eligibility. The 2 batteries identified a similar number of participants as having LD (80 and 74). However, indices of agreement for classification decisions were low (κ = .29), especially for percent positive agreement (62%). The 2 batteries demonstrated agreement on the academic domain of eligibility for only 25 participants. Cognitive discrepancy frameworks for LD identification are inherently unstable because of imperfect reliability and validity at the observed level. Methods premised on identifying a PSW profile may never achieve high reliability because of these underlying psychometric factors. An alternative is to directly assess academic skills to identify students in need of intervention.

Inadequate responders demonstrate significant risk for learning disabilities. Previous investigations of the cognitive profiles of inadequate and adequate responders have not included measures of executive functions (EFs), which have well-documented associations to reading comprehension. We evaluated EF performance on a common factor comprised of shared variance across tasks as well as five separable EF factors in the context of an intensive reading intervention for struggling fourth graders. To determine whether EF performance at pretest is associated with subsequent responder status, we compared EF performance of three subgroups of students: inadequate and adequate responders and typical students not at risk for reading disabilities. Results of discriminant function analyses and linear regression models comparing groups were largely null; EF performance at pretest demonstrated only small associations with responder status. These results suggest that the assessment of EF may have limited value in predicting which individual students will respond to intensive reading interventions.

No studies have investigated the cognitive attributes of middle school students who are adequate and inadequate responders to Tier 2 reading intervention. We compared students in Grades 6 and 7 representing groups of adequate responders (n = 77) and inadequate responders who fell below criteria in (a) comprehension (n = 54); (b) fluency (n = 45); and (c) decoding, fluency, and comprehension (DFC; n = 45). These students received measures of phonological awareness, listening comprehension, rapid naming, processing speed, verbal knowledge, and nonverbal reasoning. Multivariate comparisons showed a significant Group-by-Task interaction: the comprehension-impaired group demonstrated primary difficulties with verbal knowledge and listening comprehension, the DFC group with phonological awareness, and the fluency-impaired group with phonological awareness and rapid naming. A series of regression models investigating whether responder status explained unique variation in cognitive skills yielded largely null results consistent with a continuum of severity associated with level of reading impairment, with no evidence for qualitative differences in the cognitive attributes of adequate and inadequate responders.

We describe findings from a series of longitudinal studies utilizing a response to intervention framework implemented over 3 years with students in Grades 6 through 8 with reading disabilities and poor reading comprehension. Students were identified based on reading comprehension scores in Grade 5 ( n = 1,083) and then randomized to treatment or comparison conditions. Beginning in sixth grade, students assigned to intervention were provided treatment for 1, 2, or 3 years based on their response to instruction in each preceding year. Screening procedures, progress monitoring tools, tiers of instruction, and findings from each year of the study are reported. Additional studies investigating reading and behavioral outcomes through multi-level, growth modeling, and studies of the cognitive and neural correlates of inadequate response are also reported.

Content analyses of journals in the field of LD provide a means of surveying research and publication trends, the knowledge of which may inform policy and practice related to future research agendas. As the first decade of the current millennium was particularly contentious for the field of LD, we felt that a content review would be timely. In this paper, the content of three refereed LD journals—Journal of Learning Disabilities, Learning Disabilities Research & Practice, and Learning Disabilities Quarterly—was analyzed. Articles from 2001–2010 (n = 841) were systematically coded to capture article type, area of interest, population of interest, sample characteristics, and inclusion of students with LD. Results indicate that across the decade, (a) 68% of articles reported empirical research; (b) empirical research trended up; (c) publication of intervention research remained steady; (d) the most common foci were literacy and the non-academic characteristics of individuals with LD; and (e) inclusion of participants labeled as having a LD declined. We discuss trends, possible explanations, and implications, highlighting areas for future research.

There is considerable controversy about the necessity of cognitive assessment as part of an evaluation for learning and attention problems. The controversy should be adjudicated through an evaluation of empirical research. We review five sources of evidence commonly provided as support for cognitive assessment as part of the learning disability (LD) identification process, highlighting significant gaps in empirical research and where existing evidence is insufficient to establish the reliability and validity of cognitive assessments used in this way. We conclude that current evidence does not justify routine cognitive assessment for LD identification. As an alternative, we offer an instructional conceptualization of LD: a hybrid model that directly informs intervention and is based on documenting low academic achievement, inadequate response to intensive interventions, and a consideration of exclusionary factors.

We examined cognitive attributes, attention, and self-efficacy of fourth grade struggling readers who were identified as adequate responders (n = 27), inadequate responders with comprehension only deficits (n = 46), and inadequate responders with comprehension and word reading deficits (n = 52) after receiving a multicomponent reading intervention. We also included typical readers (n = 40). These four groups were compared on measures of nonverbal reasoning, working memory, verbal knowledge, listening comprehension, phonological awareness, and rapid naming as well as on teacher ratings of attention problems and self-reported self-efficacy. The two inadequate responder groups demonstrated difficulties primarily with verbal knowledge and listening comprehension compared to typical readers and adequate responders. Phonological awareness and rapid naming differentiated the two inadequate responder groups. In addition, both inadequate responder groups showed more attention problems and low self-efficacy compared to typical readers.

This study examined the effectiveness of a researcher-provided intervention with 4th-graders with significant reading difficulties. The intervention emphasized multi-syllable word reading, fluent reading of high frequency words and phrases, vocabulary, and comprehension. To identify the participants, 1,695 fourth grade students were screened using the Gates MacGinitie Reading Test, and those whose standard score was 85 or lower were included in the study (N=485). Participants were randomly assigned (2:1) to receive either researcher-provided intervention (n=324) or intervention provided by school personnel (business as usual, BAU) (n=161). Findings revealed no statistically significant differences between students in the researcher-provided intervention and BAU groups. Using effect sizes as an indicator of impact, students in the researcher implemented treatment generally outperformed students in the school implemented treatment (BAU). Examining growth in standard scores, both groups made significant gains in reading outcomes with standard score growth from pretest to posttest of 3 standard score points on decoding, 5 on fluency,, and 2.0 to 7 standard score points on reading comprehension measures.

An appropriate estimate of statistical power is critical for the design of intervention studies. Although the inclusion of a pretest covariate in the test of the primary outcome can increase statistical power, samples selected on the basis of pretest performance may demonstrate range restriction on the selection measure and other correlated measures. This can result in attenuated pretest-posttest correlations, reducing the variance explained by the pretest covariate. We investigated the implications of two potential range restriction scenarios: direct truncation on a selection measure and indirect range restriction on correlated measures. Empirical and simulated data indicated direct range restriction on the pretest covariate greatly reduced statistical power and necessitated sample size increases of 82%-155% (dependent on selection criteria) to achieve equivalent statistical power to parameters with unrestricted samples. However, measures demonstrating indirect range restriction required much smaller sample size increases (32%-71%) under equivalent scenarios. Additional analyses manipulated the correlations between measures and pretest-posttest correlations to guide planning experiments. Results highlight the need to differentiate between selection measures and potential covariates and to investigate range restriction as a factor impacting statistical power.

This chapter addresses the accuracy and validity of methods of learning disabilities (LD) identification, particularly methods based on a response-to-intervention (RTI) service delivery framework. Recently, classification frameworks have shifted from cognitive discrepancy models towards instructional models utilizing low achievement and instructional response criteria. All actuarial methods for LD identification, including methods based on RTI, demonstrate limited reliability for individual decisions, because they: (a) apply strict cut points that dichotomize a dimensional attribute and (b) rely on tests with imperfect reliability and validity. The resulting group membership is inherently unstable. However, methods based on RTI demonstrate good validity, because emergent groups can be differentiated on attributes not utilized to form groups, a critical test of validity. In contrast, methods based on identifying cognitive discrepancies fail because resulting groups cannot be differentiated reliably on variables not used to form groups. The authors suggest that instructional models for LD identification can be improved by limiting use of rigid cut points on single tests. Instead, identification processes should incorporate multiple academic measures, utilize confidence intervals, and move towards a system focused on ongoing assessments of risk or probability of academic difficulty and timely intervention, rather than issues of identification and entitlement.

Few empirical investigations have evaluated learning disabilities (LD) identification methods based on a pattern of cognitive strengths and weaknesses (PSW). This study investigated the reliability and validity of two proposed PSW methods: the concordance/discordance method (C/DM) and cross battery assessment (XBA) method. Cognitive assessment data for 139 adolescents demonstrating inadequate response to intervention was utilized to empirically classify participants as meeting or not meeting PSW LD identification criteria using the two approaches, permitting an analysis of: (a) LD identification rates, (b) agreement between methods, and (c) external validity. LD identification rates varied between the 2 methods depending upon the cut point for low achievement, with low agreement for LD identification decisions. Comparisons of groups that met and did not meet LD identification criteria on external academic variables were largely null, raising questions of external validity. This study found low agreement and little evidence of validity for LD identification decisions based on PSW methods. An alternative may be to use multiple measures of academic achievement to guide intervention.

Learning to read is a foundational skill that is critical to academic success. Yet, it is a skill that eludes many children. Children who have difficulty learning to read need instruction that is balanced, systematic and explicit. This chapter provides an overview of literacy development, with special attention to universal features across languages. It describes the characteristics of effective reading instruction within a response to instruction framework and recommends attention to both the content and delivery of instruction. Assessment is an essential component of sound instruction. Thus, a discussion of assessment for both screening and progress monitoring purposes is included. The final section identifies additional factors that must be considered when determining children’s need for additional instruction.