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The present study represents a novel method not yet used in the quantitative intersectionality literature -- the CT-C(M-1) model (Eid et al., 2003) -- for measuring and understanding the similarities and uniquenesses among intersectional subgroups. Intersectionality is a conceptual framework from which to investigate and remedy the ways in which oppression manifests at the intersections of socio-politico-geo-temporal power structure contexts and individuals' interwoven experiences of racism, sexism, and other forms of marginalization (Cho et al., 2013). Specifically, we describe and illustrate the usefulness of the CT-C(M-1) model in intersectionality research through estimation of the latent variable structure of two school climate variables (engagement and support) using data from N = 165 schools in which Black non-Hispanic students' experience is centered as the reference category, and which other race-ethnicity subgroups are compared. Consistent with prior research, our substantive findings indicated that, while a large share of commonality among subgroups was observed, Black Hispanic students experienced school climate differently from the other groups. This analytic tool adds to the growing set of quantitative methods that can aid in advancing the second goal of intersectionality research -- intervening in the status quo for true transformational change.

Multilevel structural equation modeling (MSEM) allows researchers to model latent factor structures at multiple levels simultaneously by decomposing within- and between-group variation. Yet the extent to which the sampling ratio (i.e., proportion of cases sampled from each group) influences the results of MSEM models remains unknown. This article explores how variation in the sampling ratio in MSEM affects the measurement of Level 2 (L2) latent constructs. Specifically, we investigated whether the sampling ratio is related to bias and variability in aggregated L2 construct measurement and estimation in the context of doubly latent MSEM models utilizing a two-step Monte Carlo simulation study. Findings suggest that while lower sampling ratios were related to increased bias, standard errors, and root mean square error, the overall size of these errors was negligible, making the doubly latent model an appealing choice for researchers. An applied example using empirical survey data is further provided to illustrate the application and interpretation of the model. We conclude by considering the implications of various sampling ratios on the design of MSEM studies, with a particular focus on educational research. [For the corresponding grantee submission, see ED617004.]

This study evaluated the construct and structural equivalence of the English and Spanish versions of the authoritative school climate survey (ASCS). Measurement invariance was evaluated through increasingly restrictive tests on a sample of N = 6976 high school students, with focus on the three core ASCS scales: Students' Willingness to Seek Help, Teacher Respect for Students, and Disciplinary Structure. Results provided support for the configural, metric, and scalar invariance of these scales across versions. Because school climate is often measured through reports of student perceptions that are aggregated to the school level, these results provide an additional resource for schools looking to increase the diversity of their students' voice through more equitable tools.

Moderated mediation analysis is a valuable technique for assessing whether an indirect effect is conditional on values of a moderating variable. We review the basis of moderation and mediation and their integration into a combined model of moderated mediation within a regression framework. Thereafter, an analytic and interpretive illustration of the technique is provided in the context of a substantive school climate research question. The illustration is based on a sample of 318 high schools that examines whether school-wide student engagement mediates the association between the prevalence of teasing and bullying (PTB) and academic achievement on a state-mandated reading exam; and whether this indirect effect was moderated by student perceptions of teacher support.

In two-level designs, the total sample is a function of both the number of Level 2 clusters and the average number of Level 1 units per cluster. Traditional multilevel power calculations rely on either the arithmetic average or the harmonic mean when estimating the average number of Level 1 units across clusters of unbalanced size. The current study compares these two approaches with simulation-based power estimates in cluster randomized controlled trial designs with unbalanced cluster size. Results from the Monte Carlo study demonstrated that the largest differences in simulated and calculated power occurred in study designs with large variability in the number of Level 1 units sampled. We discuss implications of these findings for the design of cluster randomized trials. [For the corresponding grantee submission, see ED612237.]

Compared to traditional confirmatory factor analysis (CFA), exploratory structural equation modeling (ESEM) has been shown to result in less structural parameter bias when cross-loadings (CLs) are present. However, when model fit is reasonable for CFA (over ESEM), CFA should be preferred on the basis of parsimony. Using simulations, the current study examined the sensitivity of the CFI, RMSEA, and RMSEAD in correctly adjudicating model fit between ESEM and CFA. Results showed that 1) the magnitude of structural bias was moderated by the sign of the CL, 2) constraining non-zero CL to zero resulted in incorrectly specified CFAs demonstrating good stand-alone fit but were often rejected when compared with ESEM, and 3) CFAs with negligible factor correlation bias <|.10| often failed the model equivalence test while those with non-ignorable bias >|.30| passed. This disconnect is shown to be linked to CL conditions and calls into question historically held beliefs about what constitutes an "ignorable" CL value. [ABSTRACT FROM AUTHOR]

This study tested the theory that an authoritative school climate characterized by disciplinary structure and student support is conducive to positive academic outcomes for middle and high school students. Multilevel multivariate modeling at student and school levels was conducted using school surveys completed by statewide samples of 39,364 students in Grades 7 and 8 in 423 middle schools and 48,027 students in Grades 9 through 12 in 323 high schools. Consistent with authoritative school climate theory, both higher disciplinary structure and student support were associated with higher student engagement in school, higher course grades, and higher educational aspirations at the student level in both samples. At the school level, higher disciplinary structure was associated with higher engagement, and higher student support was associated with higher engagement and grades in both samples. Overall, these findings add new evidence that an authoritative school climate is conducive to student academic success in middle and high schools.

Self-report surveys are widely used to measure adolescent risk behavior and academic adjustment, with results having an impact on national policy, assessment of school quality, and evaluation of school interventions. However, data obtained from self-reports can be distorted when adolescents intentionally provide inaccurate or careless responses. The current study illustrates the problem of invalid respondents in a sample (N = 52,012) from 323 high schools that responded to a statewide assessment of school climate. Two approaches for identifying invalid respondents were applied, and contrasts between the valid and invalid responses revealed differences in means, prevalence rates of student adjustment, and associations among reports of bullying victimization and student adjustment outcomes. The results lend additional support for the need to screen for invalid responders in adolescent samples.

This study employed observed factor index scores as well as latent ability constructs from the "Wechsler Intelligence Scale for Children-Fourth Edition" (WISC-IV; Wechsler, 2003) in estimating reading and mathematics achievement on the "Wechsler Individual Achievement Test-Second Edition" (WIAT-II; Wechsler, 2002). Participants were the nationally stratified linking sample (N = 498) of the WISC-IV and WIAT-II. Observed scores from the WISC-IV were analyzed using hierarchical multiple regression analysis. Although the factor index scores provided a statistically significant increment over the Full Scale IQ, the size of the improvement was too small to be of clinical utility. Observed WISC-IV subtest scores were also subjected to structural equation modeling (SEM) analyses. Subtest scores from the WISC-IV were fit to a general factor ("g") and four ability constructs corresponding to factor indexes from the WISC-IV (Verbal Comprehension, Perceptual Reasoning, Working Memory, and Processing Speed). For both reading and mathematics, only "g" (0.55 and 0.77, respectively) and Verbal Comprehension (0.37 and 0.17, respectively) were significant influences. Thus, when using observed scores to predict reading and mathematics achievement, it may only be necessary to consider the Full Scale IQ. In contrast, both "g" and Verbal Comprehension may be required for explanatory research.

The use of multiple informants is common in assessments that rely on the judgments of others. However, ratings obtained from different informants often vary as a function of their perspectives and roles in relation to the target of measurement, and causes unrelated to the trait being measured. We illustrate the usefulness of a latent variable multilevel multitrait-multimethod measurement model for extracting trait factors from reports of school climate obtained by students (N = 45,641) and teachers (N = 12,808) residing within 302 high schools. We then extend this framework to include assessments of linkages between the resulting trait factors and potential outcomes that might be used for addressing questions of substantive interest or providing evidence of concurrent validity. The approach is illustrated with data obtained from student and teacher reports of two dimensions of school climate, student engagement, and the prevalence of teasing and bullying in their schools.

Within the frequentist structural equation modeling (SEM) framework, adjudicating model quality through measures of fit has been an active area of methodological research. Complicating this conversation is research revealing that a higher quality measurement portion of a SEM can result in poorer estimates of overall model fit than lower quality measurement models, given the same structural misspecifications. Through population analysis and Monte Carlo simulation, we extend the earlier research to recently developed Bayesian SEM measures of fit to evaluate whether these indices are susceptible to the same reliability paradox, in the context of using both uninformative and informative priors. Our results show that the reliability paradox occurs for RMSEA, and to some extent, gamma-hat and PPP (measures of absolute fit); but not CFI or TLI (measures of relative fit), across Bayesian (MCMC) and frequentist (maximum likelihood) SEM frameworks alike. Taken together, these findings indicate that the behavior of these newly adapted Bayesian fit indices map closely to their frequentist analogs. Implications for their utility in identifying incorrectly specified models are discussed. [ABSTRACT FROM AUTHOR]

This study examined the effects of behavioral and social engagement and classroom supportiveness on the development of civic efficacy in fourth-grade science classrooms. We define civic efficacy as children's beliefs that they are not only capable of making a difference in their community, but they also feel a responsibility to do so. This study enrolled 815 students (48% female) across 39 classrooms, including 31 fourth-grade teachers at 25 schools in a large urban school district in the South Central U.S. Stepwise regression showed that behavioral engagement, social engagement, and classroom supportiveness in science class all positively predicted civic efficacy, and social engagement accounted for the greatest amount of variance in that civic efficacy. Findings suggests that social engagement is a stronger driver of civic efficacy than behavioral engagement and classroom supportiveness, pointing to the importance of collaboration and teamwork in science classrooms. We discuss implications for elementary classroom practices. [ABSTRACT FROM AUTHOR]

This study tested the association between school-wide measures of an authoritative school climate and high school dropout rates in a statewide sample of 315 high schools. Regression models at the school level of analysis used teacher and student measures of disciplinary structure, student support, and academic expectations to predict overall high school dropout rates. Analyses controlled for school demographics of school enrollment size, percentage of low-income students, percentage of minority students, and urbanicity. Consistent with authoritative school climate theory, moderation analyses found that when students perceive their teachers as supportive, high academic expectations are associated with lower dropout rates.

Discrepancies among informants' ratings of a given child's behavior complicate the study of linkages between child behavior and academic achievement. In the current study, we examined the potential moderating effect of informant type on associations between behavior and two types of achievement in a longitudinal growth model that captured children's development from 54 months of age through fifth grade. Latent internalizing and externalizing behavioral constructs, as separately measured by mothers and teachers, were modeled as time-varying predictors of achievements to capture changes that occur as children progress through different developmental stages. Behavioral ratings obtained by both informants explained largely equivalent levels of reading achievement variance, and teachers' ratings of child behavior explained more variance in analytic type achievements than did those of mothers.

Psychometric properties of the Phonological Awareness Literacy Screening for Kindergarten (PALS-K) instrument were investigated in a sample of 2844 first-time public school kindergarteners. PALS-K is a widely used English literacy screening assessment. Exploratory factor analysis revealed a theoretically defensible measurement structure that was found to replicate in a randomly selected hold-out sample when examined through the lens of confirmatory factor analytic methods. Multigroup latent variable comparisons between Spanish-speaking English-language learners (ELLs) and non-ELL students largely demonstrated the PALS-K to yield configural and metric invariance with respect to associations between subtests and latent dimensions. In combination, these results support the educational utility of the PALS-K as a tool for assessing important reading constructs and informing early interventions across groups of Spanish-speaking ELL and non-ELL students.

Psychometric properties of 24 items from the fifth grade Early Childhood Longitudinal Study-Kindergarten Cohort Mathematics Teacher Questionnaire were investigated in a sample of 5,181 participants. These items asked teachers to report how often they had their classroom students engage in different mathematics content, skills and instructional practices. Exploratory factor analyses were employed to evaluate the underlying factor structure of the selected items. Results suggest that these items effectively measure three distinct latent constructs that are specific to mathematics instruction: Instructional Practices for Teaching Mathematics, Developing Number Sense, and Beyond Number Sense. These results support the use of this instrument as a guide for research and policy, or to inform teacher curriculum decisions.

This study uses a large nationally representative data set (ECLS-K) of 5,181 students to examine the extent to which exposure to content and instructional practice contributes to mathematics achievement in fifth grade. Using hierarchical linear modeling, results suggest that more exposure to content beyond numbers and operations (i.e., geometry, algebra, measurement, and data analysis) contribute to student mathematics achievement, but there is no main effect for increased exposure on developing numbers and operations. Two significant interactions between exposure to specific content and racial composition of the classroom emerge. Specifically, as exposure to more diverse content increases, the classroom mathematics achievement gap among students in predominately Caucasian classrooms and those composed predominately of students of color appears to narrow. Findings are discussed with regard to promoting increased opportunities to learn mathematics for students in racially diverse classrooms.

This study explored heterogeneity in literacy development among 2,300 Hispanic children receiving English as a Second Language (ESL) services at the start of kindergarten. Two research questions guided this work: (1) Do Spanish-speaking English language learners receiving ESL services in the fall of kindergarten demonstrate homogeneous early literacy skills, or are there distinct patterns of achievement across measures of phonological awareness, alphabet knowledge, and orthography? and (2) if there are distinct profiles, to what extent do they predict literacy achievement at the end of kindergarten and the beginning of first grade? Using cluster analysis, the authors identified four distinct literacy profiles derived from fall kindergarten measures of phonological awareness, alphabet knowledge, and phonetic spelling. These profiles were found to be associated with literacy outcomes in spring of kindergarten and fall of first grade. The two profiles that were associated with greater success on later measures of concept of word in text, letter sound knowledge, word reading, and spelling were the two that included stronger performance on orthographic skills (i.e., alphabet knowledge and phonetic spelling). These findings demonstrated that there is heterogeneity among Hispanic ESL students at kindergarten entry and suggested that literacy instruction must be differentiated from the very beginning in order to meet students' individual needs. The findings also suggested that orthographic skills should be assessed and taught early on. While phonological awareness may be a necessary precursor to reading, phonological awareness in the absence of orthographic skills may not be sufficient.

The purpose of this study was to identify subgroups of adult basic education (ABE) learners with different profiles of skills in the core reading components of decoding, word recognition, spelling, fluency, and comprehension. The analysis uses factor scores of those 5 reading components from on a prior investigation of the reliability and construct validity of measures of reading component skills (MacArthur, Konold, Glutting, & Alamprese, 2010). In that investigation, confirmatory factor analysis found that a model with those 5 factors fit the data best and fit equally well for native and non-native English speakers. The study included 486 students, 334 born or educated in the United States (native) and 152 not born nor educated in the US (non-native) but who spoke English well enough to participate in English reading classes. The cluster analysis found an 8-cluster solution with good internal cohesion, external isolation, and replicability across subsamples. Of the 8 subgroups, 4 had relatively flat profiles (range of mean scores across factors less than 0.5 SD), 2 had higher comprehension than decoding, and 2 had higher decoding than comprehension. Profiles were consistent with expectations regarding demographic factors. Non-native speakers were overrepresented in subgroups with relatively higher decoding and underrepresented in subgroups with relatively higher comprehension. Adults with self-reported learning disabilities were overrepresented in the lowest performing subgroup. Older adults and men were overrepresented in subgroups with lower performance. The study adds to the limited research on the reading skills of ABE learners and, from the perspective of practice, supports the importance of assessing component skills to plan instruction.

This study investigated teachers' beliefs about the changes needed to improve student learning in low-performing schools. The study employed a new instrument, the Need for Change Assessment (NCA), which solicited teachers' perceptions of the need for change in areas such as reading and math programs, classroom instruction, and school policies. Teachers in 15 elementary, middle, and high schools in four states participated (N = 320). Factor analysis revealed two factors and showed that the NCA possesses sufficient internal consistency to justify its use by researchers and practitioners. In the aggregate, teachers were more likely to identify change as necessary in areas that did not involve their own practice. A school-level comparison of survey results revealed that high school teachers were more likely to see the need for change in their schools than were elementary and middle school teachers. Perceptions of the need for change varied substantially between schools; no two schools were alike. Finally, the authors found that teachers and principals may differ in their perceptions of what needs to change. This study has implications for how low-performing schools may undertake improvement efforts, specifically regarding which stakeholders drive change and how they do so. (Contains 4 tables.)

The purpose of this study was to explore patterns of within-group variability in the emergent literacy skills of preschoolers who are at risk for academic difficulties. We used the person-centered approach of cluster analysis to identify profiles of emergent literacy skills, taking into account both oral language and code-related skills. Participants were 492 preschoolers (aged 42-60 months) enrolled in needs-based programs. In the fall of the academic year, children were administered eight measures of emergent literacy: four oral language measures (i.e., expressive and receptive grammar, expressive and receptive vocabulary) and four code-related measures (i.e., print concepts, alphabet knowledge, name writing, and rhyme). Controlling for age, hierarchical-agglomerative and K-means cluster analysis procedures were employed. Five psychometrically sound profiles emerged: highest emergent literacy (prevalence=14%); three profiles with average oral language and differential code-related abilities (16%, 24%; 23%); and lowest oral language with broad code-related weaknesses (23%). Profiles were then compared on midyear teacher ratings of emergent literacy as well as end-of-kindergarten literacy performance; results provided convergent evidence of predictive validity. This study highlights the considerable heterogeneity of emergent literacy abilities within an "at-risk" group. The resulting profiles have theoretical and practical relevance when examining both concurrent relationships between oral language and code-related skills as well as longitudinal relationships between early patterns of performance and later reading achievement. (Contains 6 tables and 1 figure.)

Interest in testing interaction terms within the latent variable modeling framework has been on the rise in recent years. However, little is known about the influence of nonnormality and model misspecification on such models that involve latent variable interactions. The authors used Mattson's data generation method to control for latent variable distributional properties, and they examined how data nonnormality and model misspecification affected latent variable interaction models in relation to varying sample sizes and different magnitudes of incorrectly constrained model parameters. The authors conducted 600 replications for each of the 54 configurations of the 4-factor completely crossed balanced deign. In general, results were suggestive of less bias under conditions of latent variable normality, large sample sizes, correctly specified models, and smaller parameters that were incorrectly constrained (i.e., misspecified). Similarly, these conditions were also found to produce better fitting models as gauged by several popular measures of model fit. (Contains 8 tables and 2 figures.)

Considerable debate exists regarding the accuracy of intelligence tests with members of different groups. This study investigated differential predictive validity of the "Wechsler Intelligence Scale for Children-Fourth Edition". Participants from the WISC-IV--WIAT-II standardization linking sample (N = 550) ranged in age from 6 through 16 years (M = 11.6, SD = 3.2) and varied by the demographic variables of gender, race/ethnicity (Caucasian, African American, and Hispanic), and parent education level (8-11, 12, 13-15, and 16 years). Full Scale IQ and General Ability Index scores from the WISC-IV were used to predict scores on Mathematics, Oral Language, Reading, Written Language, and the total composite on the "Wechsler Individual Achievement Test-Second Edition". Differences in prediction were evaluated between demographic subgroups via Potthoff's technique. Of the 30 simultaneous tests, 25 revealed no statistically significant between group differences. The remaining statistically significant differences were found to have little practical or clinical influence when effect size estimates were considered. Results are discussed in the context of other ability measures that were previously investigated for differential validity as well as educational implications for clinicians. (Contains 2 tables.)

Vocabulary knowledge at school entry is a robust predictor of later reading achievement. Many children begin formal reading instruction at a significant disadvantage due to low levels of vocabulary. Until recently, relatively few research studies examined the efficacy of vocabulary interventions for children in the early primary grades (e.g., before fourth grade), and even fewer addressed vocabulary intervention for students at increased risk for reading failure. In more recent work, researchers have begun to explore ways in which to diminish the "meaningful differences" in language achievement noted among children as they enter formal schooling. This article provides a review of a particularly effective model of vocabulary intervention based on shared storybook reading and situates this model in a context of tiered intervention, an emerging model of instructional design in the field of special education. In addition, we describe a quasi-experimental posttest-only study that examines the feasibility and effectiveness of the model for first-grade students. Participants were 224 first-grade students of whom 98 were identified as at risk for reading disability based on low levels of vocabulary. Results of a multivariate analysis of variance revealed significant differences on measures of target vocabulary knowledge at the receptive and context level, suggesting that students at risk for reading failure benefit significantly from a second tier of vocabulary instruction. Implications for classroom practice as well as future research are provided.

The purposes of this study were to investigate the reliability and construct validity of measures of reading component skills with a sample of adult basic education (ABE) learners, including both native and nonnative English speakers, and to describe the performance of those learners on the measures. Investigation of measures of reading components is needed because available measures were neither developed for nor normed on ABE populations or with nonnative speakers of English. The study included 486 students, 334 born or educated in the United States (native) and 152 not born or educated in the United States (nonnative) but who spoke English well enough to participate in English reading classes. All students had scores on 11 measures covering five constructs: decoding, word recognition, spelling, fluency, and comprehension. Confirmatory factor analysis (CFA) was used to test three models: a two-factor model with print and meaning factors; a three-factor model that separated out a fluency factor; and a five-factor model based on the hypothesized constructs. The five-factor model fit best. In addition, the CFA model fit both native and nonnative populations equally well without modification, showing that the tests measure the same constructs with the same accuracy for both groups. Group comparisons found no difference between the native and nonnative samples on word recognition, but the native sample scored higher on fluency and comprehension and lower on decoding than did the nonnative sample. Students with self-reported learning disabilities scored lower on all reading components. Differences by age and gender were also analyzed. (Contains 5 tables and 1 figure.)

Psychometric properties of the Phonological Awareness Literacy Screening for Preschool (PALS-PreK) instrument were investigated in a sample of 4,518 children. PALS-PreK figures prominently in state and federal early literacy programs as an assessment of emergent literacy skills in preschool-aged children. Exploratory Factor Analysis, Confirmatory Factor Analysis (CFA), and multigroup CFA were employed to evaluate the underlying factor structure and determine whether the identified structure was invariant across boys and girls. Results suggest that PALS-PreK effectively measures the most important precursors to successful literacy acquisition: alphabet knowledge, phonological awareness, and print concepts, with generally the same degree of accuracy for boys and girls. These results, combined with the instructional transparency of the instrument, support the educational utility of PALS-PreK as a tool for guiding instruction in preschool literacy. (Contains 1 figure and 5 tables.)

Children's social skills are an important class of learned behaviors that facilitate success in the classroom; the primary method used in the assessment of social skills involves having parents or teachers complete standardized checklists using judgments of frequency or intensity. Children's (N = 1,102) social skills were modeled as time-varying predictors of student achievements within a latent growth curve model that allowed for estimation of student level variation and the possibility of non-linear achievement growth across 4-5 years of age and grades one, three, and five. Separate models were examined to determine whether ratings provided by mothers' accounted for more achievement score variance than ratings provided by teachers', and multi-group time-varying conditional latent growth curve models were investigated for boys and girls separately by informant type. Results indicated that children's social skills accounted for levels of achievement score variance that were most pronounced at pre-school age, that teachers' ratings of children's social skills generally accounted for more achievement score variance than those obtained by mothers' regardless of the child's sex, and that the explanatory power of social skills for boys and girls was dependent upon the type of achievement considered. (Contains 1 figure and 4 tables.)

The Wechsler Abbreviated Scale of Intelligence (WASI; Psychological Corporation, 1999) and the Wide Range Intelligence Test (WRIT; Glutting, Adams, & Sheslow, 2000) are two well-normed brief measures of general intelligence with subtests purportedly assessing verbal-crystallized abilities and nonverbal-fluid-visual abilities. With a sample of 152 children, adolescents, and adults, the present study reports meaningful convergent validity coefficients and a latent factor structure consistent with the theoretical intellectual models both tests were constructed to reflect. Consideration of the hierarchical model of intelligence tests and issues regarding test interpretation are presented. (Contains 4 tables and 3 figures.)

The School Climate Bullying Survey (Cornell & Sheras, 2003) is a self-report survey used to measure attitudes and behaviors associated with school bullying. Two studies were conducted to examine the valid use of its three school climate scales: (a) Prevalence of Teasing and Bullying, (b) Aggressive Attitudes, and (c) Willingness to Seek Help. In Study 1, exploratory and confirmatory factor analyses were performed with a sample of 2,111 students from four middle schools and established reasonable fit for 20 items with their hypothesized scales. Multigroup confirmatory factor analyses revealed good overall model fit. In Study 2, regression analyses using school-level measures aggregated from 7,318 ninth-grade students attending 291 Virginia public high schools indicated that the three scales were related to meaningful criteria for school disorder. (Contains 2 tables.)

Research Findings: Recent evidence suggests that children benefit from pre-K programs in terms of both academic and social skills and that this growth is predicted by the quality of the interactions teachers have with students. Prior cluster analysis revealed 5 distinct quality profiles of teacher-child interactions in pre-kindergarten based on classroom observations of 692 teachers. In the present study, the links between these 5 quality profiles of teacher-child interactions and pre-kindergarten children's (n = 2,028) academic growth and social competence were examined using multilevel modeling techniques. Results indicate that students in the profile with the highest levels of concept development showed the greatest gains for both PPVT Receptive Vocabulary and WJ-III Applied Problems. The profile with the highest levels of emotional support dimensions had children who were rated highest in social competence the next year. Practice or Policy: These findings suggest that teacher-child interactions targeting preschoolers' analysis and inference combined with moderate levels of emotional and organizational supports could play a role in fostering students' achievement gains during pre-kindergarten. (Contains 1 figure and 5 tables.)

This study examined the components of a one-on-one literacy tutoring model to identify the necessary and sufficient elements for helping struggling beginning readers. The tutoring components of interest included word work using manipulative letters, written word work, and a generalization component. Reading assessment data from 100 first-grade students, randomly assigned to four tutoring conditions and a control group, were analyzed. Following the treatment period, groups were evaluated on phonological awareness, sight word knowledge, decoding, and word attack. Results indicated that children who received all of the tutoring components performed better than those in the control condition across all four reading performance indicators under consideration. (Contains 5 tables.)

Research Findings: Children's social competence has been linked to successful transition to formal school. The purpose of this study was to examine the contributions of children's temperament to teachers' ratings of their social competence from kindergarten through 2nd grade. Children (N = 1,364) from the National Institute of Child Health and Human Development Early Child Care Research Network participated in this study. Mothers rated children's shyness, attentional focusing, and inhibitory control with the Children's Behavior Questionnaire at 4 1/2 years, and teachers rated children's social competence with three subscales (cooperation, assertion, and self-control) of the Social Skills Rating System at kindergarten, 1st, and 2nd grade. Latent growth curve analysis indicated that both shyness and effortful control contributed to children's social competence. Bolder children were likely to have higher assertion ratings, and shyer children with greater attentional focusing were likely to have higher assertion ratings. Shyer children and children with greater inhibitory control and attentional focusing were likely to have higher teacher ratings of self-control and cooperation. Practice or Policy: Findings highlight the importance of considering child temperament characteristics when understanding children's social competence and successful adjustment to kindergarten. Information may help parents, preschool teachers, and early elementary teachers prepare children who may be at particular risk for lower social competence. (Contains 3 tables and 1 figure.)

This study employed a correlated trait-correlated method application of confirmatory factor analysis to disentangle trait and method variance from measures of attention-deficit/hyperactivity disorder obtained at the college level. The two trait factors were "Diagnostic and Statistical Manual of Mental Disorders-Fourth Edition" ("DSM-IV") Inattention and "DSM-IV" Hyperactivity-Impulsivity. The two source factors were self-reports and parent-reports. Data were collected for an epidemiological sample (N = 1,079) of college freshmen stratified for race/ethnicity, gender, and ability level according to national targets for the U.S. college population. Results revealed (a) parents' ratings were better measures of internalizing behavioral dimensions and that students' ratings were better measures of externalizing dimensions of behavior, (b) informants have a greater impact on behavior ratings than the behavioral construct that is presumed to be the primary cause of the behavior as measured by the CARE, (c) relationships among the method factors revealed a substantial amount of unique variance among informants, and (d) relationships among trait factors were largely within expectation. (Contains 4 tables and 1 figure.)

One wrong assumption about reality is sufficient to ensure the failure of education policy. For a variety of reasons, too many people have ignored realities in policies such as the No Child Left Behind Act. Individuals who are serious about reforming or improving education, general or special, must confront realities in at least the following areas: measurement, statistical distributions, measurement error, labels, special services, teacher responsibilities, and teacher training. Enacting or supporting education policy that is known to be seriously flawed is unacceptable and tantamount to the criminal conduct of someone who markets goods with known safety defects or harmful effects or of someone who ignores critical realities in the conduct of business.

Standardized rating scales remain the primary mechanism through which child behaviors are recorded. Despite the many advantages of such systems, the documented lack of agreement among different informants' ratings of the same child remains a pervasive problem for clinicians. This study examines the degree to which observed behavior ratings were influenced by different informants, relative to the traits these measures were designed to assess. A correlated trait-correlated method confirmatory factor analysis model is estimated on a multitrait-multimethod design in which five behavioral traits were completely crossed with three informants (mothers, fathers, and teachers). Behavioral ratings were completed on 562 first-grade children. Results indicate that ratings of child behavior are heavily influenced by the informant, that informant influences are relatively independent of one another, and that the influence of method variance is often greater than the influence of the trait being assessed. (Contains 1 figure and 4 tables.)

School readiness assessment is a prominent feature of early childhood education. Because the construct of readiness is multifaceted, we examined children's patterns on multiple indicators previously found to be both theoretically and empirically linked to school readiness: social skill, interactions with parents, problem behavior, and performance on tests of cognition and attention. Multistage cluster analysis with independent replications was used to empirically identify normative profiles in a sample of 964 typically developing 54-month-old children. This procedure considered how the aforementioned indicators operate in concert by accounting for the nonlinear multivariate relations among them. Results supported six common (or core) profile types that satisfied all formal heuristic and statistical criteria, including complete coverage, satisfactory within-type homogeneity, between-type dissimilarity, and replicability. Resulting profiles suggest that cognitive process and self regulation develop somewhat independently, resulting in profiles that reveal both linkage and independence of these areas of development. A summary of the defining characteristics for each profile is provided. In addition, the performance of children comprising different profiles was investigated on three concurrent achievement measures to further substantiate the external validity of the resulting configurations. Because readiness connotes a link to the future, predictive validity was examined by evaluating differences between profile types on three achievement measures collected in first grade. Results are discussed in the context of a compensatory hypothesis, one which acknowledges that there is more than one route to successful, or at least adequate, educational outcome among typically developing children. (Contains 2 tables and 1 figure.)