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Group design research studies can provide evidence to draw conclusions about "what works," "for whom," and "under what conditions" in special education. The quality indicators introduced by Gersten and colleagues (2005) have contributed to increased rigor in group design research, which has provided substantial evidence about what works across various content areas. However, there is a need to more fully understand the range of effects within studies and individual differences in treatment response. In this article, we identify contemporary considerations for group design research in special education. First, we propose an expanded set of quality indicators that broaden our lens of inquiry to promote understanding of for whom and under what conditions interventions, programs, and practices are more or less effective. Next, we introduce new quality indicators to further methodological rigor in using open science practices. We recommend that researchers consider the full set of quality indicators and document their decision-making related to the design, implementation, and analysis of group design research. These efforts can generate new scientific knowledge with the potential to advance equity and inclusion of students with disabilities.

Many research agencies are now requiring that data collected as part of funded projects be shared. However, the practice of data sharing in education sciences has lagged these funder requirements. We assert that this is likely because researchers generally have not been made aware of these requirements and of the benefits of data sharing. Furthermore, data sharing is usually not a part of formal training, so many researchers may be unaware of how to properly share their data. Finally, the research culture in education science is often filled with concerns regarding the sharing of data. In this article, we address each of these areas, discussing the wide range of benefits of data sharing, the many ways by which data can be shared; provide a step by step guide to start sharing data; and respond to common concerns.

The transition to formal schooling is a large contextual change, which for many children in U.S. begins with the year of kindergarten. To better understand the challenges of this transition, the present study examines the extent to which children experience transition difficulties in five salient areas: making friends, following schedules, meeting academic demands, working within groups, and being organized. Using a sample of 688 kindergarteners from 45 classrooms, we found that challenges in the transition to kindergarten were prevalent based on teacher report. More than 70% of the children were reported to have difficulty in at least one area, and over 30% of children had challenges in all five areas. Meeting academic demands and being organized were two of the most common challenges kindergarteners experienced. Gender and IEP status consistently predicted transition difficulties, in that boys struggled more than girls, and children with disabilities (on the basis of IEP provision) were more likely to have difficulties than those without IEPs. Overall, this work highlights the need to support children during the transition to kindergarten.

Preschool-age children identified as at risk for later reading difficulties can benefit from supplemental, small-group emergent literacy intervention. As such interventions become commercially available and marketed to preschool programs, it is important to understand their impacts when implemented by intended end users under routine conditions. In this study, we examined the effects of the Nemours BrightStart! (NBS!) intervention on children's emergent literacy skills when implemented by teachers and community aides in authentic preschool classrooms. We randomly assigned 98 classrooms to one of three conditions (NBS! teacher-implemented, NBS! community aide-implemented, or control). Children enrolled in these classrooms who met eligibility criteria and were identified as at risk via an early literacy screener (n = 281) completed pretest and posttest emergent literacy assessments; those assigned to NBS! conditions received intervention from their classroom teacher or a community aide affiliated with a local kindergarten-readiness initiative. Intent-to-treat analyses showed no significant impacts of NBS! on any outcome, and an instrumental variable, as-treated approach showed one significant intervention effect on letter writing. Consequently, we did not replicate results of prior highly controlled efficacy trials. Findings have implications for revising the NBS! theory of change, conducting dosage and as-treated analyses, and moving research-based interventions toward scale-up.

Most children experience some form of grouping in the classroom every day. Understanding how teachers make grouping decisions and their impacts on children's social development can shed light on effective teacher practices for promoting positive social dynamics in the classroom. This study examined the influence of teachers' grouping strategies on changes in young children's social experiences with peers across an academic year. A total of 1,463 children (51% girls, M[subscript age] = 6.79, SD[subscript age] = 1.22) and 79 teachers from kindergarten to third-grade classrooms participated in this study. Teachers rated children's behavioral problems as the most important consideration when creating seating charts or assigning children to small groups. Promoting existing or new friendships was rated as the least important consideration. Heterogeneous ability grouping, rated as somewhat important by the teachers, was associated with a decrease in children's friendships and yet also a decrease in girls' experience with peer conflicts. Our findings begin to fill in the gaps in the literature on the social impacts of ability grouping for young children.

The current study examined preschoolers' (N = 801) age-related performance on one measure of verbal counting and two measures of cardinality ("how many" and "give n") aligned with the kindergarten Common Core State Standards for Mathematics (CCSSM) and included in the majority of states' early learning guidelines for mathematics. Children were grouped into five age categories (3, 3.5, 4, 4.5, 5, 5.5), and within-age-group average rates of correct responses for each item within these three measures were calculated. Results demonstrated that the majority of children were already successfully meeting the CCSSM standards for both cardinal number knowledge tasks (86.5% and 53.3%, respectively) prior to kindergarten entry but that only 18.9% of the children were meeting the standard for verbal counting. Findings indicate potential misalignment between children's existing capabilities and the CCSSM standards for cardinality and underscore the need to conduct large, nationally representative studies measuring children's abilities on items that more closely assess the specific mathematics skills included in the CCSSM and early learning guidelines.

The extant literature on implementation fidelity has found mixed evidence for empirically establishing the dimensionality of implementation fidelity. The current study aims to add to this growing body of literature by examining implementation fidelity in a book-reading intervention for young children's caregivers. Caregivers (n = 291) implemented Sit Together and Read 2 (STAR 2) with their preschool-age children. These data indicated that implementation fidelity was determined to be a four-dimensional construct including adherence/dose, quality of delivery, participant responsiveness, and program differentiation. The main findings of this work are twofold: (a) implementation fidelity is a more complex construct than some previous descriptions, and (b) early childhood education research should aim to report on all aspects of implementation fidelity.

The overall purpose of this study was to examine caregivers' adherence to a storybook-reading intervention using latent class analysis (LCA). This study also examined whether adherence was related to child and family characteristics including children's language ability, caregiver education, and whether the child has a disability. Caregivers of children with language impairment (N = 695) were provided with a book per week and were encouraged to read the book twice a week. Results of the LCA indicated that there were four profiles of caregivers' adherence: sporadic, late dropout, completers, and early dropout. Completers were so-named because they adhered to study activities for the duration, completed the study as designed. These caregivers represented one third of participants, whereas dropouts (both early and late) represented the majority of caregivers (51%). This study found no reliable differences in the adherence patterns for caregivers of children with a disability and their typically developing peers. However, children who had better language skills also had significantly higher probability of continued caregiver adherence. Implications for educational research are discussed.

In this study, we identified child- and family-level characteristics most strongly associated with clinical identification of language disorder for preschool-aged children. We used machine learning to identify variables that best classified children receiving therapy for language disorder among a sample of 483 3- to 5-year-old children (54% affected). Using a dichotomous outcome based on receipt of language therapy, we applied the least absolute shrinkage and selection operator (LASSO) classification approach to a range of background data available on the children, including teacher and caregiver ratings of communication and social skills. The sample was randomly split into a training (67% of children) and test sample (33% of children) to examine out-of-sample classification accuracy. The full model had excellent classification accuracy based on area under the curve (AUC) of 0.87 and 0.85 on the training and test sets, respectively, when utilizing all available background data. Variables most strongly contributing to accurate classification of language-therapy receipt were cognitive impairment, age, gender, and teacher- and parent-reported communication, social, and literacy skills. Use of machine-learning approaches to classify children receiving language services in school settings may provide a valuable approach for identifying those factors that best differentiate children with and without language disorders from a clinical perspective.

Background: Process data, data generated by a user's interaction with a web-based application, is an emerging tool in educational research. The current study explores using process data as a measure of implementation fidelity to a randomized control trial (RCT) of the Read It Again Mobile (RIA-M) curricular supplement. Objectives: To determine the extent to which teachers implemented RIA-M and to assess the utility of using process data in the assessment of fidelity. Methods: The RCT involved 30 pre-kindergarten classrooms with a sample of n = 216 students. RIA-M provides a curricular supplement which teachers may incorporate into classroom instruction and is delivered via a tablet computer. Pre and post literacy assessments are used to determine treatment effect. Process data, produced from teacher interactions with the tablet, and classroom observations are used to assess fidelity. Results and Conclusions: Our findings indicate no difference between treatment and control students in the RCT. Yet, we find that process data provides unique fidelity information concerning treatment exposure, adherence, and quality of program delivery. Specifically, process data indicated that teachers did not demonstrate the same level of fidelity that was captured in classroom observations. This finding provides some evidence for the absence of an intervention effect. Major Takeaways: The current study improves our understanding of how web-based interventions may be assessed for implementation fidelity using process data. Further, process data offers a potentially reliable and scalable measure of fidelity for other web-based educational interventions.

Despite being a critical emergent literacy skill and an indicator of risk for later reading difficulties, relatively little is known about how alphabet knowledge develops over time. This study utilized a person-centered approach and longitudinal sample of 998 preschool-aged children (M = 56.50 months old) to examine patterns in letter name and letter-sound knowledge development, associations with child, home/family, and classroom factors, and kindergarten readiness outcomes. Results indicated three profiles: children demonstrating initially "High" knowledge and little growth before mastery, children demonstrating initially low knowledge but "Growing" trajectories toward mastery, and children demonstrating initially low knowledge whose growth was substantially "Delayed." Multiple factors distinguished the "High" profile but few distinguished the "Growing" versus "Delayed" profiles; all differed in kindergarten readiness. Implications concerning risk, resiliency, and assessment/instruction are discussed.

This study aimed to examine the psychometric properties of an instrument designed to measure parental practices to support young children's learning and literacy at home (ELLS) and explore the predictive validity of the instrument by examining the associations between the ELLS subscales (basic concepts, phonological awareness, conceptual understanding) and children's narrative skill scores. The sample included 315 parents of three to five years old preschool-aged children. The results of a confirmatory factor analysis demonstrated that a hypothesized three-factor model was a good fit to the sample data. All subscales had adequate internal consistency. The overall findings of the current study suggest that phonological awareness is the strongest predictors of children's narrative skills. Parental activities that aim to promote children's phonological awareness appear to make a greater contribution to the children's narrative skills than the activities that enhance children's knowledge of basic concepts and understanding of events and characters depicted in picture books.

Purpose: Narrative skill represents a higher-level linguistic skill that shows incremental development in the preschool years. During these years, there are considerable individual differences in this skill, with some children being highly skilled narrators (i.e., precocious) relative to peers of their age. In this study, we explored the contribution of three lower-level language skills to a range of narrative abilities, from children performing below expected levels for their age to those performing much higher than the expected levels for their age. We speculated that individual differences in lower-level skills would contribute meaningfully to variability in narrative skills. Method: Using a sample of 336 children between 3 and 6 years of age (M = 4.27 years, SD = 0.65), both multiple regression and quantile regression approaches were used to explore how vocabulary, grammar, and phonological awareness account for variance in children's "narrative ability index" (NAI), an index of how children scored on the Narrative Assessment Protocol--Second Edition relative to the expected performance for their age. Results: Multiple regression results indicated that lower-level language skills explained a significant amount of variance (approximately 13%) in children's NAI scores. Quantile regression results indicated that phonological awareness and vocabulary accounted for significant variance in children's NAI scores at lower quantiles. At the median quantile, vocabulary and grammar accounted for significant variance in children's NAI scores. For precocious narrators, only vocabulary accounted for a significant amount of variance in children's NAI scores. Conclusion: Results indicate that lower-level language skills work in conjunction to support narrative skills at different ability levels, improving understanding of how lower-level language skills contribute across a spectrum of higher-level linguistic abilities.

Purpose: This study aimed to identify child-level characteristics that predict gains in language skills for children with language impairment who were receiving therapy within the public schools. The therapy provided represented business-as-usual speech/language treatment provided by speech-language pathologists in the public schools. Method: The sample included 272 kindergartners and first-graders with language impairment who participated in a larger study titled "Speech-Therapy Experiences in the Public Schools." Multilevel regression analyses were applied to examine the extent to which select child-level characteristics, including age, nonverbal cognition, memory, phonological awareness, vocabulary, behavior problems, and self-regulation, predicted children's language gains over an academic year. Pratt indices were computed to establish the relative importance of the predictors of interest. Results: Phonological awareness and vocabulary skill related to greater gains in language skills, and together they accounted for nearly 70% of the explained variance, or 10% of total variance at child level. Externalizing behavior, nonverbal cognition, and age were also potentially important predictors of language gains. Conclusions: This study significantly advances our understanding of the characteristics of children that may contribute to their language gains while receiving therapy in the public schools. Researchers can explore how these characteristics may serve to moderate treatment outcomes, whereas clinicians can assess how these characteristics may factor into understanding treatment responses.

Research Findings: Using a sample of 568 students from 61 kindergarten classrooms whose primary caregivers completed a questionnaire describing their child's early childhood education and care (ECEC) by year from birth to pre-kindergarten, we identified seven pathways characterizing children's ECEC experiences using a latent class analysis. Once identified, profile membership was included as an independent variable in a multilevel model to predict children's cognitive and social-behavioral outcomes at kindergarten entry. Although a considerable body of work has examined dosage of time in (ECEC) and its associations with children's skills in later grades, we extend this work by expanding the definition of dosage to include multiple care arrangements from birth to kindergarten entry and by examining if profiles of ECEC participation have associations with kindergarten-entry skills. Our findings show membership in profiles in which children spent consistent time in center-based care from birth to five were associated with adverse social-behavioral outcomes including behavioral aggression, school adjustment, peer social skills, and self-efficacy. Practice or Policy: Our findings suggest the importance of considering more nuanced differences in children's experiences with ECEC and the need for possible interventions to support the social-behavioral development of children with exposure to 5 years of center-based care. [For the corresponding grantee submission, see ED614469.]

Planned missing data designs allow researchers to have highly-powered studies by testing only a fraction of the traditional sample size. In two-method measurement planned missingness designs, researchers assess only part of the sample on a high-quality expensive measure, while the entire sample is given a more inexpensive, but biased measure. The present study focuses on a longitudinal application of the two-method planned missingness design. We provide evidence of the effectiveness of this design for fitting developmental data. Methodologically, we extend the framework for modeling an average treatment effect. Finally, we provide code and step-by-step instructions for how to analyze longitudinal, treatment effect data within these frameworks.

Research Findings: The amount of time and type of program that children experience in early childhood settings may be associated with children's kindergarten-entry skills, or kindergarten readiness. Taking a person-centered perspective, in the present study, we examined the extent to which reliable and unique profiles of early childhood experiences among a heterogeneous group of preschool children could be identified (N = 422). Based on parent reports of children's early education experiences in the year before kindergarten, three distinct profiles were identified. The three groups (Part-Time Head Start, Public Preschool and Other Care Programs, and Full-Time Head Start) significantly differed based on family and child characteristics. Children in the Public Preschool and Other Care Programs profile resided in families with greater maternal educational levels and incomes, and were more likely to be white than children in the other profiles. However, differences in children's kindergarten readiness by profile were not observed. Practice or Policy: Findings suggest that time spent in different care arrangements was not associated with children's kindergarten readiness. It is important for future work to examine other factors, such as quality of care, that may promote children's learning across settings. [For the grantee submission, see ED614471.]

Research designs that include planned missing data are gaining popularity in applied education research. These methods have traditionally relied on introducing missingness into data collections using the missing completely at random (MCAR) mechanism. This study assesses whether planned missingness can also be implemented when data are instead designed to be purposefully missing based on student performance. A research design with purposefully selected missingness would allow researchers to focus all assessment efforts on a target sample, while still maintaining the statistical power of the full sample. This study introduces the method and demonstrates the performance of the purposeful missingness method within the two-method measurement planned missingness design using a Monte Carlo simulation study. Results demonstrate that the purposeful missingness method can recover parameter estimates in models with as much accuracy as the MCAR method, across multiple conditions. [ABSTRACT FROM AUTHOR]

Many preschool language-focused interventions attempt to boost language and literacy skills in young children at risk in these areas of development, though the long-term effects of such interventions are not well-established. This study investigated kindergarten language and reading skills, specifically the subcomponents of vocabulary, decoding, and reading comprehension, for children exposed to the language-focused intervention "Learning Language and Loving It" (LLLI; Weitzman & Greenberg, 2002) during preschool. End of kindergarten skills were examined, comparing children whose teachers implemented LLLI (n = 25) or business-as-usual (BAU) instruction (n = 24). Hierarchical linear modeling results showed the LLLI intervention to have significant effects on children's decoding and reading comprehension in kindergarten for children who had high levels of language skill at preschool, as compared to their counterparts in the BAU condition. Study findings therefore indicate that preschool language-focused interventions may primarily benefit children with higher skill levels. This suggests the need to explore avenues for addressing the needs of children with relatively low language skills during preschool and the eventual transition to reading. [This article was published in "Applied Developmental Science," v20 n2 p94-107 2016.]

In this study, we investigated how multiple types of knowledge and beliefs, along with holding an early childhood-related degree and teaching experience were linked to amounts of early childhood educators' language and literacy instruction. Quantile regression was used to estimate associations between these variables along a continuum of language and literacy instruction for 222 early childhood educators. In general, low levels of language- and literacy-related instruction were observed; however, the use of quantile regression afforded unique insight into the associations of knowledge, beliefs, education, and teacher experience with instruction when levels of instruction were sufficient. These findings would not have been visible with traditional, linear regression models. Specifically, two types of knowledge were examined: disciplinary-related content knowledge about the structure of language and knowledge for use in teaching language and literacy to young children. Only educators' disciplinary content knowledge was associated with amount of instruction. Associations between beliefs about language and literacy instruction and amount of instruction were less consistent. Generally, holding an early childhood related degree was positively associated with language and literacy instruction whereas teaching experience was negatively associated with the amount of instruction. Implications for studying educators and understanding the associations among educator characteristics and instruction are discussed.

This study examined implementation of an evidence-based home reading program by caregivers of children with language impairment. Caregivers received materials and supports to read with their children for 15 weeks, four times weekly; in total, 128 caregivers were enrolled. Survival analysis showed that 55% of caregivers completed the program, and the majority of dropouts did so early in the intervention. Mulitnominal logistic regression results showed that dropout was associated with household income, child literacy skills, and receipt of behavior-change techniques by caregivers, especially financial incentives (50 cents per book reading). Results may advance the science of implementation in the area of early childhood disability and could provide suggestions to improve caregivers' effectiveness in implementing interventions to their children.