Are Child Cognitive Characteristics Strong Predictors of Responses to Intervention? A Meta-Analysis

The effect of measurement error on the positive predictive value of PSW methods for SLD identification: How buffer zones dispel the illusion of inaccuracy

Patterns of Strengths and Weaknesses (PSW) methods are widely used for identifying specific learning disabilities (SLDs). Several researchers, however, have reported that the diagnostic accuracy of PSW methods is unacceptably low when strict thresholds were used to identify students with SLDs. We believe these findings give a misleading impression of the magnitude of the diagnostic errors that are likely to arise in PSW assessments. In a simulation study of 10 million cases using a simplified PSW method for demonstration, most of what have been called diagnostic errors were cases in which observed scores and true scores fell on opposite sides of a strict threshold but were still within a buffer zone the size of a typical measurement error. Because small score differences do not result in meaningfully different case conceptualizations, the use of buffer zones reveals that previous estimates of the diagnostic accuracy of PSW methods are misleadingly low. We also demonstrate that diagnostic decisions become increasingly reliable when observed scores are comfortably distant from diagnostic thresholds. For practitioners, we present a flowchart and practical guidelines to improve the accuracy and stability of SLD identification decisions.

Revisiting the definition of dyslexia

The International Dyslexia Association definition of dyslexia was updated 20 years ago and has been referenced frequently in research and practice. In this paper, researchers from the Florida Center for Reading Research consider the components of the definition and make recommendations for revisions. These include recognizing the persistence of word-reading, decoding, and spelling difficulties, acknowledging the multifactorial causal basis of dyslexia, clarifying exclusionary factors, and denoting comorbidity with other developmental disorders. It is also suggested that the academic and psychosocial consequences of dyslexia be highlighted to reinforce a preventive service delivery model. Lastly, the inclusion of dyslexia within a specific learning disability category is supported.

Empowering Schools to Implement Effective Research-Based Reading Remediation Delivers Long-Lasting Improvements to Children's Reading Trajectories

There is a wide gap between what research evidence identifies as effective reading intervention and what is currently offered in schools. This effectiveness study reports the results of a long-term research/school system partnership that is implementing reading intervention for children with reading difficulties in community schools. In Study 1, growth-curve analyses revealed significant long-term shifts in the reading trajectories of children (n = 731) from Kindergarten to Grade 5 as a function of receiving the Empower™ Reading: Decoding and Spelling intervention. Long-term outcomes were higher in children who received intervention in Grade 2 than in Grade 3, supporting the benefit of earlier intervention. In Study 2, we compare reading outcomes before and after children participated in school system-led intervention (Empower™ Reading, n = 341) to results from previously reported researcher-led intervention and business-as-usual controls. Children in both school system-led and researcher-led interventions showed greater improvement than controls on standardized measures of decoding and reading comprehension. Among school system participants, greater gains were seen for those with stronger reading skills at pre-test. Findings demonstrate successful school system implementation of research-originated and validated reading intervention. Researcher/school system partnerships may be integral in closing the research-practice gap.

Evaluating the Efficacy of a Narrative Language Intervention for Bilingual Students

PURPOSE

This study examines the narrative language and reading outcomes of monolingual and bilingual students who received instruction with the Supporting Knowledge in Language and Literacy (SKILL) program, a narrative language intervention.

METHOD

The main effects of the SKILL program were evaluated in a randomized controlled trial in which students (N = 355) who were at risk for English language and literacy difficulties were randomized to the SKILL intervention or a business-as-usual instruction. This article reports secondary analyses examining the efficacy of SKILL for bilingual (n = 148) and monolingual (n = 207) students who completed measures of oral and written narrative language and reading comprehension in English.

RESULTS

Moderation results showed that the effects of SKILL did not differ for monolinguals and bilinguals across most narrative language measures and did not vary for monolinguals or bilinguals based on their pre-intervention language performance.

CONCLUSION

These findings that suggest a language-based approach to improving narrative production and comprehension yielded similar results for monolinguals and bilinguals and that neither monolinguals nor bilinguals in this study needed to meet a certain threshold of English language proficiency to benefit from the intervention.

What We Know and Need to Know about Literacy Interventions for Elementary Students with Reading Difficulties and Disabilities, including Dyslexia

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 intervention 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.

A Bayesian Probabilistic Framework for Identification of Individuals with Dyslexia

Purpose

Bayesian-based models for diagnosis are common in medicine but have not been incorporated into identification models for dyslexia. The purpose of the present study was to evaluate Bayesian identification models that included a broader set of predictors and that capitalized on recent developments in modeling the prevalence of dyslexia.

Method

Model-based meta-analysis was used to create a composite correlation matrix that included common predictors of dyslexia such as decoding, phonological awareness, oral language, but also included response to intervention (RTI) and family risk for dyslexia. Bayesian logistic regression models were used to predict poor reading comprehension, unexpectedly poor reading comprehension, poor decoding, and unexpectedly poor decoding, all at two levels of severity.

Results

Most predictors made independent and substantial contributions to prediction, supporting models of dyslexia that rely on multiple rather than single indicators. RTI was the strongest predictor of poor reading comprehension and unexpectedly poor reading comprehension. Phonological awareness was the strongest predictor of poor decoding and unexpectedly poor decoding, followed closely by family risk.

Conclusion

Bayesian-based models are a promising tool for implementing multiple-indicator models of identification. Ideas for improving prediction and implications for theory and practice are discussed.

Predicting and Evaluating Treatment Response: Evidence Toward Protracted Response Patterns for Severely Impacted Students With Dyslexia

Great strides have been made in the development of effective methods of instruction for children with dyslexia. However, individual response to treatment varies, and weaknesses persist for some students with dyslexia despite otherwise effective instruction. Continued efforts are needed to support the prospective identification of poor response, particularly in routine intervention settings. The current study addressed whether indicators of dyslexia risk as outlined by hybrid diagnostic models predict response in children who received Tier 3 dyslexia intervention in their schools. The program's efficacy has been previously documented in remediating reading abilities in children with dyslexia. Data were examined from 115 elementary-age children who received routine Tier 3 dyslexia intervention in their schools. Logistic regression revealed powerful effects of preintervention fluency and gender in predicting response, with weaker effects of decoding and rapid naming. Attention-deficit/hyperactivity disorder status also played a role in predicting response. Phonological awareness and listening-reading comprehension discrepancy did not predict response. Profile analyses indicated near- and far-transfer of skill for the adequate response group, whereas growth in the poor response group was limited to near-transfer. Findings support a continuum of severity that may be associated with less robust growth and generalization over the course of the intervention.

Exploring boundary conditions of the listening comprehension-reading comprehension discrepancy index

Conversations about the nature of dyslexia and how dyslexia impacts reading and listening comprehension get to the heart of classification and identification models of dyslexia. Recently, this conversation has been expanded to include efforts to estimate the prevalence of dyslexia in the population through the introduction of a discrepancy index of listening comprehension and reading comprehension. This discrepancy index was proposed to serve as a proxy for dyslexia when estimating its prevalence in the population. Individuals whose reading comprehension is considerably lower than their listening comprehension are thought to exhibit unexpected reading deficits. However, the index could underrepresent certain groups within the population. The current study explored this possibility using data from a sample of 4078 public-school students. We hypothesized that students from historically marginalized or otherwise disenfranchised groups (i.e., poor and minority groups) would be less likely to have a positive listening comprehension - reading comprehension (LC-RC) discrepancy index. Based on the results of multilevel linear mixed effect modeling, socioeconomic status (SES) contributed to differential performance on the discrepancy index when it was calculated using residual scores. Moreover, African American students were identified as having a reliably lower discrepancy index regardless of how it was calculated. It appears that this index, which only looks at the comprehension of language and not production, may, in fact, disadvantage students for whom oral language production differs from General American English (GAE). These outcomes suggest that this measure may lack the sensitivity to identify bidialectal students with dyslexia.

Identifying Determinants of Dyslexia: An Ultimate Attempt Using Machine Learning

Research based on traditional linear techniques has yet not been able to clearly identify the role of cognitive skills in reading problems, presumably because the process of reading and the factors that are associated with reading reside within a system of multiple interacting and moderating factors that cannot be captured within traditional statistical models. If cognitive skills are indeed indicative of reading problems, the relatively new nonlinear techniques of machine learning should make better predictions. The aim of the present study was to investigate whether cognitive factors play any role in reading skill, questioning (1) the extent to what cognitive skills are indicative of present reading level, and (2) the extent to what cognitive skills are indicative of future reading progress. In three studies with varying groups of participants (average school-aged and poor readers), the results of four supervised machine learning techniques were compared to the traditional General Linear Models technique. Results of all models appeared to be comparable, producing poor to acceptable results, which are however inadequate for making a thorough prediction of reading development. Assumably, cognitive skills are not predictive of reading problems, although they do correlate with one another. This insight has consequences for scientific theories of reading development, as well as for the prevention and remediation of reading difficulties.

Remote Neuropsychological Intervention for Developmental Dyslexia with the Tachidino Platform: No Reduction in Effectiveness for Older Nor for More Severely Impaired Children

Tachidino is a web-platform for remote treatment of reading and writing disorders. A total of 91 children with developmental dyslexia and/or dysorthographia participated in the present study and received Tachidino treatment. The purpose of the study was to compare results obtained after four weeks treatment and a six-month follow-up in older versus younger children and in more versus less severely impaired children (separately subdividing them according to reading speed, reading accuracy, and writing accuracy). The results showed no difference in improvement for reading accuracy and speed in the three age groups, but children below 9 years improved more than older children in writing accuracy. Regarding severity groups, children with more severe initial impairments improved more than children with less severe impairments. Additionally, the results were confirmed after controlling for spurious effects due to use of Z-scores and regression to the mean. The findings are discussed in terms of their theoretical and practical implications.

Trajectories of Response to Treatments in Children with ADHD and Word Reading Difficulties

This study investigated patterns of response to intervention in children with co-occurring attention-deficit/hyperactivity disorder (ADHD) and reading difficulties (RD), who participated in a randomized clinical trial examining the efficacy of reading intervention, ADHD treatment, or combined treatments. Growth Mixture Modeling (GMM) was used to investigate trajectories of parent and teacher academic impairment ratings and child oral reading fluency, and whether trajectories were predicted by pre-treatment covariates (ADHD severity, reading achievement, phonemic awareness, rapid letter naming, anxiety, oppositional defiant disorder), for 216 children with ADHD/RD in 2nd-5th grade (61.1% male; 72.2% African American; 8.8 ± 1.3 years of age). GMM revealed three trajectories for academic impairment (6.9-24.2% stable, 23.7-78.7% moderately improving, and 14.1-52.1% steeply improving) and oral reading fluency (20.8% low improving, 42.1% moderate improving, and 37.1% high improving). Children in the reading intervention were more likely to be in the stable or moderately improving trajectory than those in the ADHD and combined treatments, who were more likely to be in the steeply improving trajectory for academic impairment. Relative to the ADHD intervention, children in the reading intervention were more likely to be in the high improving trajectory than the moderate or low improving trajectory for oral reading fluency. Children without comorbid anxiety and with better reading skills showed a more positive treatment response for teacher-rated academic progress and oral reading fluency. Results highlight the importance of examining individual differences in response to reading and ADHD interventions. Intervention modality predicted differences in parent/teacher ratings of academic progress as well as reading fluency.

Current Research Informing the Conceptualization, Identification, and Treatment of Dyslexia Across Orthographies: An Introduction to the Special Series

This introduction to the special series summarizes evidence for the genetic and brain bases for dyslexia and cognitive-behavioral indicators (including ones that can be measured even before the onset of reading instruction) that attest to meaningful differences between children with dyslexia and their non-dyslexic peers. Authors review controversies that have surrounded approaches to dyslexia identification and treatment during the last few decades. Finally, they introduce the findings of the articles in the special series and discuss potential implications for dyslexia identification and treatment.

Morphological awareness and vocabulary predict reading resilience in adults

Resilient readers comprehend written language despite word reading deficits. The reading resiliency framework specifies candidate protective factors hypothesized to mitigate adverse effects on reading comprehension arising from phonological decoding deficiencies and, consequently, illuminates how some individuals exhibit relative reading resiliency. A focus on relative reading resiliency involves an examination of individual strengths and weaknesses because areas of relative strength can bolster one's abilities. The ability for morphological awareness and vocabulary to be strengths or protective factors contributing to reading resiliency was explored in a sample of university students. Morphological awareness is predicted to be a particularly important skill for university students due to the complexity of texts encountered in their coursework. A measure of word-level morphological awareness was positively associated with relative reading resiliency. Furthermore, across norm-referenced and standardized high-stakes testing measures of reading comprehension, vocabulary mediated the impact of morphological awareness on comprehension after controlling for phonological decoding ability. These findings suggest that morphological awareness and vocabulary skills are important contributing factors to reading comprehension and reading resilience.

Long-term stability of Wechsler Intelligence Scale for Children-fifth edition scores in a clinical sample

This study investigated the stability of Wechsler Intelligence Scale for Children-Fifth Edition (WISC-V) scores for 225 children and adolescents from an outpatient neuropsychological clinic across, on average, a 2.6 year test-retest interval. WISC-V mean scores were relatively constant but subtest stability score coefficients were all below 0.80 (M = 0.66) and only the Verbal Comprehension Index (VCI), Visual Spatial Index (VSI), and omnibus Full Scale IQ (FSIQ) stability coefficients exceeded 0.80. Neither intraindividual subtest difference scores nor intraindividual composite difference scores were stable across time (M = 0.26 and 0.36, respectively). Rare and unusual subtest and composite score differences as well as subtest and index scatter at initial testing were unlikely to be repeated at retest (kappa = 0.03 to 0.49). It was concluded that VCI, VSI, and FSIQ scores might be sufficiently stable to support normative comparisons but that none of the intraindividual (i.e. idiographic, ipsative, or person-relative) measures were stable enough for confident clinical decision making.

Is "Response/No Response" Too Simple a Notion for RTI Frameworks? Exploring Multiple Response Types With Latent Profile Analysis

We conducted a secondary analysis of data from a randomized control trial to explore this question: Does "response/no response" best characterize students' reactions to a generally efficacious first-grade reading program, or is a more nuanced characterization necessary? Data were collected on 265 at-risk readers' word reading prior to and immediately following program implementation in first grade and in spring of second grade. Pretreatment data were also obtained on domain-specific skills (letter knowledge, decoding, passage comprehension, language) and domain-general skills (working memory, non-verbal reasoning). Latent profile analysis of word reading across the three time points with controls as a local norm revealed a strongly responsive group (n = 45) with mean word-reading z scores of 0.25, 1.64, and 1.26 at the three time points, respectively; a mildly responsive group (n = 109), z scores = 0.30, 0.47, and 0.55; a mildly non-responsive group (n = 90), z scores = -0.11, -0.15, and -0.55; and a strongly non-responsive group (n = 21), z scores = -1.24, -1.26, and -1.57. The two responsive groups had stronger pretreatment letter knowledge and passage comprehension than the two non-responsive groups. The mildly non-responsive group demonstrated better pretreatment passage comprehension than the strongly non-responsive group. No domain-general skill distinguished the four groups. Findings suggest response to early reading intervention was more complicated than response/no response, and pretreatment reading comprehension was an important predictor of response even with pretreatment word reading controlled.

Understanding, educating, and supporting children with specific learning disabilities: 50 years of science and practice

Specific learning disabilities (SLDs) are highly relevant to the science and practice of psychology, both historically and currently, exemplifying the integration of interdisciplinary approaches to human conditions. They can be manifested as primary conditions-as difficulties in acquiring specific academic skills-or as secondary conditions, comorbid to other developmental disorders such as attention-deficit hyperactivity disorder. In this synthesis of historical and contemporary trends in research and practice, we mark the 50th anniversary of the recognition of SLDs as a disability in the United States. Specifically, we address the manifestations, occurrence, identification, comorbidity, etiology, and treatment of SLDs, emphasizing the integration of information from the interdisciplinary fields of psychology, education, psychiatry, genetics, and cognitive neuroscience. SLDs, exemplified here by specific word reading, reading comprehension, mathematics, and written expression disabilities, represent spectrum disorders, each occurring in approximately 5% to 15% of the school-aged population. In addition to risk for academic deficiencies and related functional social, emotional, and behavioral difficulties, those with SLDs often have poorer long-term social and vocational outcomes. Given the high rate of occurrence of SLDs and their lifelong negative impact on functioning if not treated, it is important to establish and maintain effective prevention, surveillance, and treatment systems involving professionals from various disciplines trained to minimize the risk and maximize the protective factors for SLDs. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

The Critical Role of Word Reading as a Predictor of Response to Intervention

This study examines the initial word reading performance of fourth-grade struggling readers and the extent to which differing levels of word reading performance at pretest influenced their response to reading interventions. A large group of students with significant reading comprehension difficulties (N = 481) were classified into three clusters of word reading proficiency based on their pretest performance: (a) very low, (b) low, and (c) near adequate. We examined their performance on several academic, language, and executive functioning measures at the beginning of the year and their reading comprehension performance at the beginning of year and after 1 year of reading intervention to examine how each cluster responded to instruction. Results from a discriminant function analysis indicated that performance on five pretest variables were meaningful predictors of word reading proficiency cluster membership: phonological processing, writing fluency, math calculation, math fluency, and reading efficiency and comprehension. Results also demonstrated that word reading proficiency at pretest was related to response to intervention on reading comprehension measures. Students in the very low word reading proficiency cluster showed minimal response to intervention whereas the near-adequate word reading cluster demonstrated greatest response to intervention. These results suggest word reading is a critical predictor of response to intervention for students with significant comprehension problems in the upper elementary grades and that students with the most substantial word reading problems may require more intensive and specialized treatments than students with greater word reading performance to show meaningful progress in reading.

Exploring the use of network meta-analysis in education: examining the correlation between ORF and text complexity measures

Calls for empirical investigations of the Common Core standards (CCSSs) for English Language Arts have been widespread, particularly in the area of text complexity in the primary grades (e.g., Hiebert & Mesmer Educational Research, 42(1), 44-51, 2013). The CCSSs mention that qualitative methods (such as Fountas and Pinnell) and quantitative methods (such as Lexiles) can be used to gauge text complexity (CCSS Initiative, 2010). However, researchers have questioned the validity of these tools for several decades (e.g., Hiebert & Pearson, 2010). In an effort to establish criterion validity of these tools, individual studies have compared how well they correlate with actual student reading performance measures, most commonly reading comprehension and/or oral-reading fluency (ORF). ORF is a key aspect of reading success and as such is often used for progress monitoring purposes. However, to date, studies have not been able to evaluate different text complexity tools and relation to reading outcomes across studies. This is challenging because the pair-wise meta-analytic model is not able to synthesize several independent variables that differ both within and across studies. Therefore, it is unable to answer pressing research questions in education, such as, which text complexity tool is most correlated with student ORF (and, thus, a good measure of text difficulty)? This question is timely given that the Common Core State Standards explicitly mention various text complexity tools; yet, the validity of such tools has been repeatedly questioned by researchers. This article provides preliminary evidence to answer that question using an approach borrowed from the field of medicine-Network Meta-Analysis (NMA; Lumley Statistics in Medicine, 21, 2313-2324, 2002). A systematic search yielded 5 studies using 19 different text complexity tools with ORF as the reading outcome measured. Both a frequentist and Bayesian NMA were conducted to pool the correlations of a given text complexity tool with students' ORF. While the results differed slightly across the two approaches, there is preliminary evidence in support of the hypothesis that text complexity tools which incorporate more fine-grained sub-lexical variables were more strongly correlated with student outcomes. While the results of this example cannot be generalized due to the low sample size, this article shows how NMA is a promising new analytic tool for synthesizing educational research.

Longitudinal outcomes of an individualized and intensive reading intervention for third grade students

Early intervention is known to reduce reading disabilities; however, treatment response is variable, and some students have persistent deficits that require intensive supports. This study examined the immediate and 1-year outcomes of an individualized and intensive reading program for third grade students, which was delivered throughout the school day for an average of 189 hr of instruction over 3 months. These students' performances were compared with two comparison groups, including poor readers who received small group supports and good readers who did not have additional reading instruction. The intensive group showed an improvement in word recognition and decoding fluency immediately after the program and 1 year later, and there was a decrease in significant reading impairments from 62% before intervention to 35% at follow-up. Furthermore, baseline reading, spelling, phonological awareness, and rapid naming skills were predictive of persistent reading deficits at a later time point. Although improvements in reading skills were shown, a significant gap between poor and good readers persisted in the third and fourth grades. This study illustrates the importance of a tertiary intensive reading program, but also the need for continuing supports.

Cognitive, Intervention, and Neuroimaging Perspectives on Executive Function in Children With Reading Disabilities

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.

Executive Functions and Response to Intervention: Identification of Students Struggling with Reading Comprehension

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 (EF), 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 if 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.

Brain activity in struggling readers before intervention relates to future reading gains

Neural markers for reading-related changes in response to intervention could inform intervention plans by serving as a potential index of the malleability of the reading network in struggling readers. Of particular interest is the role of brain activation outside the reading network, especially in executive control networks important for reading comprehension. However, it is unclear whether any intervention-related executive control changes in the brain are specific to reading tasks or reflect more domain general changes. Brain changes associated with reading gains over time were compared for a sentence comprehension task as well as for a non-lexical executive control task (a behavioral inhibition task) in upper-elementary struggling readers, and in grade-matched non-struggling readers. Functional MRI scans were conducted before and after 16 weeks of reading intervention. Participants were grouped as improvers and non-improvers based on the consistency and size of post-intervention gains across multiple post-test measures. Engagement of the right fusiform during the reading task, both before and after intervention, was related to gains from remediation. Additionally, pre-intervention activation in regions that are part of the default-mode network (precuneus) and the fronto-parietal network (right posterior middle temporal gyrus) separated improvers and non-improvers from non-struggling readers. None of these differences were observed during the non-lexical inhibitory control task, indicating that the brain changes seen related to intervention outcome in struggling readers were specific to the reading process.

How Initial Word Reading and Language Skills Affect Reading Comprehension Outcomes for Students With Reading Difficulties

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.

A Misuse of IQ Scores: Using the Dual Discrepancy/Consistency Model for Identifying Specific Learning Disabilities

The purpose of this article is to describe the origins of patterns of strengths and weaknesses (PSW) methods for identifying specific learning disabilities (SLD) and to provide a comprehensive review of the assumptions and evidence supporting the most commonly-used PSW method in the United States: Dual Discrepancy/Consistency (DD/C). Given their use in determining whether students have access to special education and related services, it is important that any method used to identify SLD have supporting evidence. A review of the DD/C evidence indicates it cannot currently be classified as an evidence-based method for identifying individuals with a SLD. We show that the DD/C method is unsound for three major reasons: (a) it requires test scores have properties that they fundamentally lack, (b) lack of experimental utility evidence supporting its use, and (c) evidence supporting the inability of the method to identify SLD accurately.

The multiple deficit model of dyslexia: what does it mean for identification and intervention?

Research demonstrates that phonological skills provide the basis of reading acquisition and are a primary processing deficit in dyslexia. This consensus has led to the development of effective methods of reading intervention. However, a single phonological deficit is not sufficient to account for the heterogeneity of individuals with dyslexia, and recent research provides evidence that supports a multiple-deficit model of reading disorders. Two studies are presented that investigate (1) the prevalence of phonological and cognitive processing deficit profiles in children with significant reading disability and (2) the effects of those same phonological and cognitive processing skills on reading development in a sample of children that received treatment for dyslexia. The results are discussed in the context of implications for identification and an intervention approach that accommodates multiple deficits within a comprehensive skills-based reading program.

Prefrontal mediation of the reading network predicts intervention response in dyslexia

A primary challenge facing the development of interventions for dyslexia is identifying effective predictors of intervention response. While behavioral literature has identified core cognitive characteristics of response, the distinction of reading versus executive cognitive contributions to response profiles remains unclear, due in part to the difficulty of segregating these constructs using behavioral outputs. In the current study we used functional neuroimaging to piece apart the mechanisms of how/whether executive and reading network relationships are predictive of intervention response. We found that readers who are responsive to intervention have more typical pre-intervention functional interactions between executive and reading systems compared to nonresponsive readers. These findings suggest that intervention response in dyslexia is influenced not only by domain-specific reading regions, but also by contributions from intervening domain-general networks. Our results make a significant gain in identifying predictive bio-markers of outcomes in dyslexia, and have important implications for the development of personalized clinical interventions.

Neuropsychology of Learning Disabilities: The Past and the Future

Over the past 50 years, research on children and adults with learning disabilities has seen significant advances. Neuropsychological research historically focused on the administration of tests sensitive to brain dysfunction to identify putative neural mechanisms underlying learning disabilities that would serve as the basis for treatment. Led by research on classifying and identifying learning disabilities, four pivotal changes in research paradigms have produced a contemporary scientific, interdisciplinary, and international understanding of these disabilities. These changes are (1) the emergence of cognitive science, (2) the development of quantitative and molecular genetics, (3) the advent of noninvasive structural and functional neuroimaging, and (4) experimental trials of interventions focused on improving academic skills and addressing comorbid conditions. Implications for practice indicate a need to move neuropsychological assessment away from a primary focus on systematic, comprehensive assessment of cognitive skills toward more targeted performance-based assessments of academic achievement, comorbid conditions, and intervention response that lead directly to evidence-based treatment plans. Future research will continue to cross disciplinary boundaries to address questions regarding the interaction of neurobiological and contextual variables, the importance of individual differences in treatment response, and an expanded research base on (a) the most severe cases, (b) older people with LDs, and (c) domains of math problem solving, reading comprehension, and written expression. (JINS, 2017, 23, 930-940).

Let's Not Do Away with Comprehensive Cognitive Assessments Just Yet

We review rational and empirical reasons that comprehensive cognitive assessments are useful sources of information in the evaluation and treatment of learning disabilities. However, the existing evidence base that demonstrates the value of comprehensive cognitive assessments for this purpose is not nearly as strong as it needs to be. Proponents of comprehensive cognitive assessments for learning disability identification must do more to rigorously evaluate their beliefs or else concede the argument to those with better evidence.

Comprehensive Cognitive Assessments are not Necessary for the Identification and Treatment of Learning Disabilities

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.

Cognitive discrepancy models for specific learning disabilities identification: Simulations of psychometric limitations

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

Do Processing Patterns of Strengths and Weaknesses Predict Differential Treatment Response?

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 4^th 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.