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The purpose of this study was to examine (1) the stability of latent classes associated with reading disability (RD) and typical development (TD) across time, (2) the importance of speeded word recognition as a latent class indicator of RD and TD, and (3) possible early indicators of students with late-emerging RD. Analyses were based on a longitudinal sample of 177 students, some of whom had been assigned randomly to small-group tutoring in either fall or spring of 1st grade. At the end of 1st, 2nd, and 4th grades, students were assessed on word identification, sight word efficiency (SWE), and passage comprehension. Latent transition analysis models were developed to examine classification transitions from 1st to 4th grade and 2nd to 4th grade. Results indicated that RD/TD classification was relatively stable across time, however 5 students were consistently identified as having late-emerging RD. Findings indicated that SWE measured in 2nd grade reduced the number of false negatives for RD and was therefore important for the classification of RD. Finally, although students with late-emerging RD had poorer listening comprehension skill at the start of 1st grade and smaller word reading fluency slopes during 1st grade compared to TD children, these indicators did not reliably distinguish students with late-emerging RD from TD due to high rates of false positives. (Contains 3 figures and 4 tables.)

Response to intervention (RTI) models for identifying learning disabilities rely on the accurate identification of children who, without Tier 2 tutoring, would develop reading disability (RD). This study examined 2 questions concerning the use of 1st-grade data to predict future RD: (1) Does adding initial word identification fluency (WIF) and 5 weeks of WIF progress-monitoring data (WIF-Level and WIF-Slope) to a typical 1st-grade prediction battery improve RD prediction? and (2) Can classification tree analysis improve the prediction accuracy compared to logistic regression? Four classification models based on 206 1st-grade children followed through the end of 2nd grade were evaluated. A combination of initial WIF, WIF-Level, and WIF-Slope and classification tree analysis improved prediction sufficiently to recommend their use with RTI.

The purpose of this study was to examine the cognitive correlates of RD-grade skill in arithmetic, algorithmic computation, and arithmetic word problems. Third graders (N = 312) were measured on language, nonverbal problem solving, concept formation, processing speed, long-term memory, working memory, phonological decoding, and sight word efficiency as well as on arithmetic, algorithmic computation, and arithmetic word problems. Teacher ratings of inattentive behavior also were collected. Path analysis indicated that arithmetic was linked to algorithmic computation and to arithmetic word problems and that inattentive behavior independently predicted all 3 aspects of mathematics performance. Other independent predictors of arithmetic were phonological decoding and processing speed. Other independent predictors of arithmetic word problems were nonverbal problem solving, concept formation, sight word efficiency, and language.

This study investigated whether 2 different progress monitoring assessments differentially predicted growth in reading skills associated with systematic phonics instruction. Oral reading fluency (ORE) was compared with an intervention aligned word list (IAWL) as predictors of growth in untimed and timed decoding and word identification and text reading accuracy, fluency, and comprehension. Results from 40 children with reading disabilities, Grades 2-5, indicated that the IAWL accounted for unique variance in change on measures of decoding and word identification, whereas the ORF measure accounted for unique variance on passable reading fluency gains. Evaluation of the IAWL psychometric properties revealed adequate reliability and construct validity; however, additional analysis indicated that the hierarchical coding scheme used to determine each word's rank difficulty ordering was not as effective. (Contains 3 figures and 4 tables.)

In the fourth session of the National Research Center on Learning Disabilities Responsiveness-to-Intervention Symposium in 2003, Good, Vellutino, and Torgesen presented papers that addressed the question, "How should unresponsiveness to secondary intervention be operationalized in an RTI approach to LD identification?" In this commentary, I highlight important areas in which ideas converge across the three presentations. I argue that it will be important, as the field begins to grapple with a definition of "unresponsiveness" to secondary intervention, that we also specify "who" should get the intervention, "what" the intervention should consist of, "when" the intervention should occur, "how long" the intervention should last, and "by whom" the intervention should be applied. Only then can we accurately assess the merits of competing definitions of unresponsiveness.

This study examined the efficacy of preventive 1st-grade tutoring in mathematics, estimated the prevalence and severity of mathematics disability, and explored pretreatment cognitive characteristics associated with mathematics development. Participants were 564 first graders, 127 of whom were designated at risk (AR) for mathematics difficulty and randomly assigned to tutoring or control conditions. Before treatment, all participants were assessed on cognitive and academic measures. Tutoring occurred 3 times weekly for 16 weeks; treatment fidelity was documented; and math outcomes were assessed. Tutoring efficacy was supported on computation and concepts/applications, but not on fact fluency. Tutoring decreased the prevalence of math disability, with prevalence and severity varying as a function of identification method and math domain. Attention accounted for unique variance in predicting each aspect of end-of-year math performance. Other predictors, depending on the aspect of math performance, were nonverbal problem solving, working memory, and phonological processing.

The authors explored a new means of assessing responsiveness to decoding-skill intervention to model individual differences in the transfer of decoding-skill gains to other aspects of reading acquisition in 35 children, Grades 3 through 5, with reading disabilities. Seven different parameters, representing responsiveness to decoding instruction, were estimated for each child and used to predict gains on standardized reading tests assessing word attack, word identification, and text reading accuracy, fluency, and comprehension. Results indicated that several estimates of an individual's responsiveness to instruction were related to gains in other aspects of reading. Results also suggested that the most appropriate unit of analysis for examining transfer is the individual, not the group.

First graders (N = 323) participated in an evidence-based classwide reading program (Peer-Assisted Learning Strategies; PALS). A dual-discrepancy approach was used to identify 56 children whose reading performance and growth rates were substantially below those of average readers, indicating they were not responding sufficiently to PALS. This approach reliably distinguished among unresponsive at-risk, responsive at-risk, and average-performing readers. Nonresponders were assigned randomly to one of three increasingly individualized treatments: PALS, Modified PALS, or tutoring by an adult. No statistically significant between-group differences on reading-related measures were found. Effect sizes (between .30 and .50) comparing groups and proportions of nonresponders following treatment suggest that tutoring was most promising for reducing unresponsiveness.

The purpose of this study was to investigate the relationship between different text-leveling systems and reading accuracy and fluency in second-grade students with and without decoding difficulties. Two-hundred-forty-eight second-grade students, 44 identified as low achieving (LA) and 204 identified as average achieving (AA) in decoding skill, participated in the 15-week study. During the study teachers collected data weekly on students' text-reading accuracy and fluency using curriculum-based measurement (CBM) techniques. Text attributes such as readability, decodability, percentage of high frequency words, average words per sentence, and percentage of multisyllabic words were estimated for each passage. Results using the entire sample of children indicated that accuracy of text reading was uniquely predicted by the percentage of high frequency words in the passages, whereas both the percentage of high frequency words and passage decodability made unique contributions to variance in passage-reading fluency. Moreover, results suggested that the relationship between text-leveling variables and reading performance was similar in the LA and AA groups, with only a slight trend favoring a stronger relationship between passage decodability and measures of text-reading performance in the AA group compared to the LA group.

This study contrasts the validity of 2 early reading curriculum-based measurement (CBM) measures: word identification fluency and nonsense word fluency. At-risk children (n = 151) were assessed (a) on criterion reading measures in the fall and spring of first grade and (b) on the 2 CBM measures each week for 7 weeks and twice weekly for an additional 13 weeks. Concurrent and predictive validity for CBM performance level and predictive validity for CBM slopes demonstrated the superiority of word identification fluency over nonsense word fluency. Findings are discussed in terms of the measures' utility for identifying children in need of intensive instruction and for monitoring children's progress through first grade.

A study examined phonological and orthographic processing skills related to two lexical acquisition systems in fifth and sixth-grade children with (n=16) and without (n=48) reading disabilities (RD). Children with RD added word-specific entries to their lexicons without a corresponding expansion of subword orthographic-phonological connections. (Contains references.) (CR)

Investigates whether two different versions of the serial rapid automatized naming (RAN) task, using similar alphanumeric stimuli, would differentially predict performance on word level reading skills. Indicates that the RAN-Alternative measure explained significantly more unique variance in word recognition and orthographic-processing skills than the RAN-Traditional task. (SG)

Examines relative importance of both static and dynamic measures of cognitive-processing abilities and emergent print knowledge in first-grade children. Finds growth in cognitive-processing abilities and general knowledge about print could be measured and adequately modeled. Suggests a strong association between the rate of growth in cognitive processing, print knowledge, and decoding skills in the very earliest stages of reading development. (RS)

A study investigated predictors of individual differences in responsiveness to word reading instruction in 55 typical first-graders and 41 identified as at-risk. A combination of rapid naming speed, letter sound knowledge, and phonemic awareness skill predicted word and nonword reading growth in the at-risk group. Growth modeling increased reading skills. (Contains references.) (Author/CR)

The predictive utility of screening measures for forecasting math disability (MD) at the end of 2nd grade and the predictive and discriminant validity of math progress-monitoring tools were assessed. Participants were 225 students who entered the study in 1st grade and completed data collection at the end of 2nd grade. Screening measures were Number Identification/Counting, Fact Retrieval Curriculum-Based Measurement (CBM) Computation, and CBM Concepts/Applications. For Number Identification/Counting and CBM Computation, 27 weekly assessments were also collected. MD was defined as below the 10th percentile at the end of 2nd grade on calculations and word problems. Logistic regression showed that the 4-variable screening model produced good and similar fits in accounting for MD--calculation and MD--word problems. Classification accuracy was driven primarily by CBM Concepts/Applications and CBM Computation; CBM Concepts/Applications was the better of these predictors. CBM Computation, but not Number Identification/Counting, demonstrated validity for progress monitoring., Individuals with learning disabilities constitute approximately 5% of the school-age population (U.S. Department of Education, 2000). Because of the additional costs involved in educating this population, as well as the [...]

Developmental studies examining relations between word reading (WR) and decoding in typical and dyslexic populations routinely cut the reading distribution to form distinct groups. However, dichotomizing continuous variables to study development is problematic for multiple reasons. Instead, we modeled and visualized the parallel growth of WR and nonword reading (NWR) factor scores longitudinally in a Grade 1–4 developmental sample (N = 588). The results indicate that while WR and NWR growth factors are highly related (r =.71), the relation between WR and NWR trajectories change as a function of initial WR. Results are interpreted within computational models of dyslexia in which children with dyslexia overfit orthography → phonology relations at the level of the word, limiting the development of sublexical representations needed to read nonwords. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

The science of reading should be informed by an evolving evidence base built on the scientific method. Decades of basic research and randomized controlled trials of interventions and instructional routines have formed a substantial evidence base to guide best practices in reading instruction, reading intervention, and the early identification of at‐risk readers. The recent resurfacing of questions about what constitutes the science of reading is leading to misinformation in the public space that may be viewed by educational stakeholders as merely differences of opinion among scientists. The authors' goals in this article were to revisit the science of reading through an epistemological lens to clarify what constitutes evidence in the science of reading, and to offer a critical evaluation of the evidence provided by the science of reading. To this end, the authors summarize those things that they believe have compelling evidence, promising evidence, or a lack of compelling evidence. The authors conclude with a discussion of areas of focus that they believe will advance the science of reading to meet the needs of all students in the 21st century. [ABSTRACT FROM AUTHOR]

Models of word reading that simultaneously take into account item-level and person-level fixed and random effects are broadly known as explanatory item response models (EIRM). Although many variants of the EIRM are available, the field has generally focused on the doubly explanatory model for modeling individual differences on item responses. Moreover, the historical application of the EIRM has been a Rasch version of the model where the item discrimination values are fixed at 1.0 and the random or fixed item effects only pertain to the item difficulties. The statistical literature has advanced to allow for more robust testing of observed or latent outcomes, as well as more flexible parameterizations of the EIRM. The purpose of the present study was to compare four types of Rasch-based EIRMs (i.e., doubly descriptive, person explanatory, item explanatory, doubly explanatory) and more broadly compare Rasch and 2PL EIRM when including person-level and item-level predictors. Results showed that not only was the error variance smaller in the unconditional 2PL EIRM compared to the Rasch EIRM due to including the item discrimination random effect, but that patterns of unique item-level explanatory variables differ between the two approaches. Results are interpreted within the context of what each statistical model affords to the opportunity for describing and explaining differences in word-level performance. [ABSTRACT FROM AUTHOR]

The orthographic choice (OC) task—requiring individuals to choose the correct spelling between a word and a pseudohomophone foil (e.g., goat vs. gote)—has been used as an outcome measure of orthographic learning and as a predictor of individual differences in word reading development. Some consider the OC task a measure of orthographic knowledge (e.g., Conrad, Harris, & Williams (Reading and Writing, 26(8), 1223–1239, 2013)), whereas others have suggested that the task measures a reader's familiarity with the word's orthographic representation and thus measures word reading skill (e.g., Castles & Nation, 2006). We examined this assertion by testing OC task performance of individuals ages 8 to 18 (J = 296) and their ability to read the OC target words (I = 80) in isolation using crossed random effects item-response models. Results reveal that response on the OC task is not fully determined by the ability of an individual to read the target word in isolation. Specifically, the probability of choosing the correct orthographic form when the word was pronounced incorrectly was.79; whereas it was.90 when the word was pronounced correctly. Measures of receptive spelling and phonemic awareness (person-characteristics) and word frequency and orthographic neighborhood size (item-characteristics) accounted for significant variance in orthographic choice after controlling for target item reading and other reading-related abilities. We interpret the results to suggest that the OC task taps both item-specific orthographic knowledge and more general orthographic knowledge. [ABSTRACT FROM AUTHOR]

Dynamic assessment refers to assessment that combines elements of instruction for the purpose of learning something about an individual that cannot be learned as easily or at all from conventional assessment. The origins of dynamic assessment can be traced to Thorndike (1924), Rey (1934), and Vygotsky (1962), who shared three basic assumptions. The first assumption is that conventional assessment does not work for children who have diverse educational and cultural experiences. The second assumption is that people should be interested more in where children can be tomorrow if given adequate education or intervention rather than in where children are now given their previous educational history. The third and final assumption is that the reason for assessment lies in intervention and, consequently, that the results of assessment should have direct implications for selecting or modifying interventions. Obvious parallels exist between fundamental assumptions of dynamic assessment and those of recent response-to-intervention (RTI) models (see Grigorenko, 2009, for a comprehensive and insightful recent comparison between dynamic assessment and RTI). RTI models can be used as the basis of service delivery and also as a source of assessment information. Arguments in support of using RTI models as a source of assessment information mirror the three key assumptions of dynamic assessment.

The overarching goal of the new Florida State University/Haskins Laboratory/University of Connecticut Learning Disability (LD) Hub project is to align computational and behavioral theories of individual word reading development more closely with the challenges of learning to read a quasi‐regular orthography (i.e., English) for both typically developing (TD) children and, more specifically, children with dyslexia. Our LD Hub adopts an integrated approach to better understand the neurocognitive bases of individual differences in word reading development by specifically examining the experiential (exogenous) and child‐specific (endogenous) factors that determine acquisition of orthographic–phonological knowledge at different subword granularities using behavioral and computational modeling. Findings are intended to enrich understanding of the processes that influence individual differences in word reading development in TD and dyslexic children and significantly inform issues of practice (e.g., curriculum, instruction, diagnosis, and intervention). Here, we briefly provide the rationale for the Hub and present findings from the initial behavioral and computational modeling studies. [ABSTRACT FROM AUTHOR]