Metrics for quantifying co-development at the individual level.

Previous research on co-development has focused on modeling the relations at the group level; however, how individuals differ in co-development may provide important information as well. Recent work has used vector plots to visually explore individual differences in co-development; however, these judgements were made based on visual inspection of a vector plot rather than the calculation of metrics. Here we propose two metrics that can be used to quantify co-development at the individual level: the co-development change ratio (CCR) and the angle of co-development metric (ACM). CCR provides information about the symmetry of development, examining whether an individual grew at the same pace in one skill relative to peers as compared to growth in the other skill relative to peers. ACM represents the relative amount and direction of change on each skill. This paper provides a tutorial on how to calculate and interpret these two metrics for quantifying co-development at the individual level.

Modeling and Visualizing the Codevelopment of Word and Nonword Reading in Children From First Through Fourth Grade: Informing Developmental Trajectories of Children With Dyslexia.

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 â†’ phonology relations at the level of the word, limiting the development of sublexical representations needed to read nonwords.

Childhood Mistreatment, PTSD, and Substance Use in Latinx: The Role of Discrimination in an Omitted-Variable Bias.

BACKGROUND: Childhood mistreatment (CM) has been associated with adult posttraumatic disorder (PTSD) and substance use disorders (SUDs) in the general population. Few studies have examined the role of PTSD in the CM-SUD association among Latinx. This cross-sectional study evaluated a theory-driven conceptual model with a specific focus on the impact of perceived discrimination, which may interfere with these associations. METHOD: Using a nationally representative sample and structural equation modeling (SEM), the study evaluated the mediation of PTSD in the CM-SUD link, adjusting for or omitting discrimination and other sociodemographic variables that are known predictors of Latinx behavioral health. Multi-subsample analyses were then conducted to review nativity differences (US-born = 924.43% and immigrant = 1630.57%). RESULTS: The fully specified final model (model 1, covariates adjusted) failed to show a significant mediation of PTSD in the tested link, but a direct detrimental effect group of discrimination, for all Latinx. The mediation was only supported, when treating discrimination and other covariates as omitted variables (model 5), which also showed additional direct and indirect effect of CM on SUD. In subsample analyses, models of US-born and immigrant-Latinx subpopulations were identical but showed nativity differences when omitting covariates. CONCLUSION: When discrimination and other covariates were fully adjusted, Latinx exposed to trauma were more likely to develop SUD in adulthood, regardless of when traumatic exposure occurred. This unexpected finding challenges theories explaining the CM-SUD connection, suggesting possible model misspecifications of parametric SES; namely, omitting the unique impact of perceived discrimination in Latinx can lead to biased results. From a clinical standpoint, both trauma and discrimination must be addressed when assessing Latinx behavioral health.

Letter Features as Predictors of Letter-Name Acquisition in Four Languages with Three Scripts.

To expand our understanding of script-general and script-specific principles in the learning of letter names, we examined how three characteristics of alphabet letters-their frequency in printed materials, order in the alphabet, and visual similarity to other letters-relate to children's letter-name knowledge in four languages with three distinct scripts (English [N = 318; M age = 4.90], Portuguese [N = 366; M age = 5.80], Korean [N = 168; M age = 5.48], and Hebrew [N = 645; M age = 5.42]). Explanatory item response modeling analysis showed that the frequency of letters in printed materials was consistently related to letter difficulty across the four languages. There were also moderation effects for letter difficulty in English and Korean, and for discriminatory power of letters in Korean. The results suggest that exposure to letters as measured by letter frequency is a language-general mechanism in the learning of alphabet letters.

A Study of the Factor Structure, Profiles, and Concurrent Validity of the Mindset Assessment Profile Tool for Elementary Students.

This study explored the underlying latent structure of items on the Mindset Assessment Profile (MAP) tool, explore whether subgroups of students exist based on the latent structure of MAP items, and test whether subgroups were differentiated on standardized measures of reading comprehension, vocabulary, and word reading. Participants included 431 fourth grade students. Confirmatory factor analysis revealed that a three-factor model provided the most parsimonious fit to the data. Results of exploratory finite mixture model analysis with auxiliary regression suggested five classes of students with the students categorized as Growth Mindset - High Effort profile, having the highest, observed reading comprehension (M = 451.98, SD = 38.88) and vocabulary (M = 454.37, SD = 34.74) scores. By contrast, students categorized as Fixed Mindset - Higher Effort had the lowest observed reading comprehension and vocabulary scores. Limitations and directions for future research, and implications for using MAP assessment to inform intervention are discussed.

Predicting Second and Third Graders' Reading Comprehension Gains: Observing Students' and Classmates Talk during Literacy Instruction using COLT.

This paper introduces a new observation system that is designed to investigate students' and teachers' talk during literacy instruction, Creating Opportunities to Learn from Text (COLT). Using video-recorded observations of 2nd-3rd grade literacy instruction (N=51 classrooms, 337 students, 151 observations), we found that nine types of student talk ranged from using non-verbal gestures to generating new ideas. The more a student talked, the greater were his/her reading comprehension (RC) gains. Classmate talk also predicted RC outcomes (total effect size=0.27). We found that 11 types of teacher talk ranged from asking simple questions to encouraging students' thinking and reasoning. Teacher talk predicted student talk but did not predict students' RC gains directly. Findings highlight the importance of each student's discourse during literacy instruction, how classmates' talk contributes to the learning environments that each student experiences, and how this affects RC gains, with implications for improving the effectiveness of literacy instruction.

Differential Co-Development of Vocabulary Knowledge and Reading Comprehension for Students with and without Learning Disabilities.

In this large-scale study of students from Title 1 schools (N = 14,773), we used multiple-group latent change score (LCS) modeling to investigate the developmental relations between vocabulary knowledge and reading comprehension in students with a school-identified learning disability (LD, n = 627) and typically developing students (n = 14,146). Students were tested for their vocabulary breadth and passage comprehension skills in Kindergarten through fourth grade. For typically developing students, there were bidirectional influences between their vocabulary knowledge and reading comprehension skills. There were no cross-lagged influences across constructs for students with an LD. We find evidence for a developmental delay, such that students with an LD had similar levels and gains in their vocabulary knowledge relative to typically developing students, but these students started much lower in their reading comprehension skills and did not catch up to their typically developing peers. We discuss the implications for children with learning disabilities and the development of their reading comprehension skills.

How the Science of Reading Informs 21st-Century Education.

The science of reading should be informed by an evolving evidence base built upon 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. Our goals in this paper are 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, we summarize those things that we believe have compelling evidence, promising evidence, or a lack of compelling evidence. We conclude with a discussion of areas of focus that we believe will advance the science of reading to meet the needs of all children in the 21st century.

Development and Prediction of Context-Dependent Vowel Pronunciation in Elementary Readers.

As children learn to read they become sensitive to context-dependent vowel pronunciations in words, considered a form of statistical learning. The work of Treiman and colleagues demonstrated that readers' vowel pronunciations depend on the consonantal context in which the vowel occurs and reading experience. We examined child- and nonword-factors associated with children's assignment of more vs. less frequent grapheme-phoneme correspondences (GPC) to vowel pronunciations as a function of rime coda in monosyllabic nonwords. Students (N=96) in grades 2-5 read nonwords in which more vs. less frequent vowel GPCs were wholly supported or partially favored by the rime unit. Two explanatory item-response models were developed using alternative nonword scoring procedures. Use of less frequent vowel GPCs was predicted by set for variability, word reading, and rime support for the context-dependent vowel pronunciation. We interpret the results within a developmental word reading model in which initially incomplete and oversimplified GPC representations become more context-dependent with reading experience.

The Reading Comprehension and Vocabulary Knowledge of Children with Poor Reading Comprehension despite Adequate Decoding: Evidence from a Regression-Based Matching Approach.

The present study examined the reading comprehension and receptive vocabulary skills of children with poor reading comprehension despite adequate decoding using a regression-based matching technique. Participants included five cohorts of children who were identified as typical readers (N = 70,493 - 75,553) or as children with specific reading comprehension difficulties (N = 480 - 8,717). Across cohorts, children with specific reading comprehension difficulties exhibited oral language difficulties based on a measure of vocabulary; however, the observed weakness in vocabulary was not as severe as their reading comprehension difficulties. Results from the regression-based matching technique suggested that the vocabulary weakness for these children is better characterized as a developmental delay rather than a developmental deficit. This outcome also emerged when more stringent criteria were used to identify subgroups of readers. Although children with poor reading comprehension despite adequate decoding have a weakness in at least one aspect of oral language, their oral language weakness does not account for the severity of their reading comprehension difficulties. Theoretical and practical implications are discussed.

Linking Behavioral and Computational Approaches to Better Understand Variant Vowel Pronunciations in Developing Readers.

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.

Modeling the Early Language Trajectory of Language Development When the Measures Change and Its Relation to Poor Reading Comprehension.

This study examined change in early language comprehension from 15 to 54 months for fifth-grade typical readers (n = 35), poor decoders (n = 11), or poor comprehenders (n = 16) from a nationally representative study of early child-care experiences. Changing measures of language comprehension were captured across early childhood for the 62 children. Multiple-group quasi-simplex and latent growth models were used on rank-transformed outcomes to examine children's relative rank change. Results showed that future poor comprehenders significantly declined in language comprehension over time relative to others who gradually improved. Efforts to improve language skills as a means to improve reading comprehension hinge upon the perspective that language weaknesses are a causal contributor to reading difficulties.

Acquiring Science and Social Studies Knowledge in Kindergarten Through Fourth Grade: Conceptualization, Design, Implementation, and Efficacy Testing of Content-Area Literacy Instruction (CALI).

With national focus on reading and math achievement, science and social studies have received less instructional time. Yet, accumulating evidence suggests that content knowledge is an important predictor of proficient reading. Starting with a design study, we developed Content Area Literacy Instruction (CALI), as an individualized (or personalized) instructional program for kindergarteners through fourth graders to build science and social studies knowledge. We developed CALI to be implemented in general education classrooms, over multiple iterations (n=230 students), using principles of design-based implementation research. The aims were to develop CALI as a usable and feasible instructional program that would, potentially, improve science and social studies knowledge, and could be implemented during the literacy block without negatively affecting students' reading gains (i.e., no opportunity cost). We then evaluated the efficacy of CALI in a randomized controlled field trial with 418 students in kindergarten through fourth grade. Results reveal that CALI demonstrates promise as a useable and feasible instructional individualized general education program, and is efficacious in improving social studies (d=2.2) and science (d=2.1) knowledge, with some evidence of improving oral and reading comprehension skills (d=.125).

Developmental relations between vocabulary knowledge and reading comprehension: a latent change score modeling study.

The present study followed a sample of first-grade (N = 316, Mage = 7.05 at first test) through fourth-grade students to evaluate dynamic developmental relations between vocabulary knowledge and reading comprehension. Using latent change score modeling, competing models were fit to the repeated measurements of vocabulary knowledge and reading comprehension to test for the presence of leading and lagging influences. Univariate models indicated growth in vocabulary knowledge, and reading comprehension was determined by two parts: constant yearly change and change proportional to the previous level of the variable. Bivariate models indicated previous levels of vocabulary knowledge acted as leading indicators of reading comprehension growth, but the reverse relation was not found. Implications for theories of developmental relations between vocabulary and reading comprehension are discussed.

CBM Reading, Mathematics, and Written Expression at the Secondary Level: Examining Latent Composite Relations Among Indices and Unique Predictions With a State Achievement Test.

A paucity of research has examined the utility of curriculum-based measurement (CBM) for data-based decision making at the secondary level. As schools move to multitiered systems of service delivery, it is conceivable that multiple screening measures will be used that address various academic subject areas. The value of including different CBM indices measures is not well understood. The purpose of this study was to (a) examine the relationship among a variety of reading, writing, and mathematics CBM indices administered to 249 seventh-grade students; (b) investigate amount and patterns of growth; and (c) examine predictive validity to a high-stakes state test using latent factor analysis and multiple indicator growth models. Results indicated strong correspondence among CBM types for fall static scores but weak relationships among slopes. Different patterns of growth were yielded for CBM writing than for CBM reading and mathematics. Findings from this study suggested that although reading, mathematics, and writing CBM were independently and moderately related to both English Language Arts and Math test scores, reading was the strongest predictor when all 3 CBM constructs were considered jointly.

Examining General and Specific Factors in the Dimensionality of Oral Language and Reading in 4th-10th Grades.

The objective of this study was to explore dimensions of oral language and reading and their influence on reading comprehension in a relatively understudied population-adolescent readers in 4th through 10th grades. The current study employed latent variable modeling of decoding fluency, vocabulary, syntax, and reading comprehension so as to represent these constructs with minimal error and to examine whether residual variance unaccounted for by oral language can be captured by specific factors of syntax and vocabulary. A 1-, 3-, 4-, and bifactor model were tested with 1,792 students in 18 schools in 2 large urban districts in the Southeast. Students were individually administered measures of expressive and receptive vocabulary, syntax, and decoding fluency in mid-year. At the end of the year students took the state reading test as well as a group-administered, norm-referenced test of reading comprehension. The bifactor model fit the data best in all 7 grades and explained 72% to 99% of the variance in reading comprehension. The specific factors of syntax and vocabulary explained significant unique variance in reading comprehension in 1 grade each. The decoding fluency factor was significantly correlated with the reading comprehension and oral language factors in all grades, but, in the presence of the oral language factor, was not significantly associated with the reading comprehension factor. Results support a bifactor model of lexical knowledge rather than the 3-factor model of the Simple View of Reading, with the vast amount of variance in reading comprehension explained by a general oral language factor.

Quantile regression in the study of developmental sciences.

Linear regression analysis is one of the most common techniques applied in developmental research, but only allows for an estimate of the average relations between the predictor(s) and the outcome. This study describes quantile regression, which provides estimates of the relations between the predictor(s) and outcome, but across multiple points of the outcome's distribution. Using data from the High School and Beyond and U.S. Sustained Effects Study databases, quantile regression is demonstrated and contrasted with linear regression when considering models with: (a) one continuous predictor, (b) one dichotomous predictor, (c) a continuous and a dichotomous predictor, and (d) a longitudinal application. Results from each example exhibited the differential inferences which may be drawn using linear or quantile regression.

Learning to write letters: examination of student and letter factors.

Learning to write the letters of the alphabet is an important part of learning how to write conventionally. In this study, we investigated critical factors in the development of letter-writing skills using exploratory item response models to simultaneously account for variance in responses due to differences between students and between letters. Letter-writing skills were assessed in 415 preschool children aged 3 to 5 years. At the student level, we examined the contribution of letter-name knowledge, letter-sound knowledge, and phonological awareness to letter-writing skills. At the letter level, we examined seven intrinsic and extrinsic factors in understanding how preschool children learn to write alphabet letters: first letter of name, letters in name, letter order, textual frequency, number of strokes, symmetry, and letter type. Results indicated that variation in letter-writing skills was accounted for more by differences between students rather than by differences between letters, with most of the variability accounted for by letter-name knowledge and age. Although significant, the contribution of letter-sound knowledge and phonological awareness was relatively small. Student-level mechanisms underlying the acquisition of letter-writing skills are similar to the mechanisms underlying the learning of letter sounds. However, letter characteristics, which appear to play a major role in the learning of letter names and letter sounds, did not appear to influence learning how to write letters in a substantial way. The exception was if the letter was in the child's name.

Classroom Age Composition and Vocabulary Development Among At-Risk Preschoolers.

RESEARCH FINDINGS: The purpose of this exploratory study was to examine the relationship between classroom age composition and preschoolers' vocabulary gains over an academic year and also to examine whether these relations were moderated by classroom quality. In this study (N = 130 children in 16 classrooms representing a subset of all children enrolled in these classrooms), results showed a significant cross-level interaction between classroom age composition and children's age, suggesting positive effects of greater variance in classroom age composition for younger but not older children. The interaction between behavior management (1 dimension of classroom quality) and classroom age composition was also significant, indicating that a wider distribution of classroom age composition was positively related to children's vocabulary gains within classrooms characterized by better behavior management. PRACTICE OR POLICY: Findings underscore the importance of children's social interactions with more knowledgeable conversational partners in promoting their vocabulary development and signify the need to help teachers learn how to manage children's behaviors so as to provide a classroom that is optimal for child learning.

Incorporating RTI in a Hybrid Model of Reading Disability.

The present study seeks to evaluate a hybrid model of identification that incorporates response-to-intervention (RTI) as a one of the key symptoms of reading disability. The one-year stability of alternative operational definitions of reading disability was examined in a large scale sample of students who were followed longitudinally from first to second grade. The results confirmed previous findings of limited stability for single-criterion based operational definitions of reading disability. However, substantially greater stability was obtained for a hybrid model of reading disability that incorporates RTI with other common symptoms of reading disability.