Rebecca J. Bulotsky-Shearer

An Investigation of Classroom Situational Dimensions of Emotional and Behavioral Adjustment and Cognitive and Social Outcomes for Head Start Children

This study used a developmental-ecological approach to investigate the relationship across the school year between early problems in preschool classroom situations and a comprehensive set of readiness competencies for urban low-income children. Study 1 identified 3 reliable and unique underlying classroom situational dimensions where behavior problems occurred: structured learning, peer interaction, and teacher interaction situations. Boys and younger children evidenced more problematic behavior across all situations. Study 2 investigated the relationship between early problems in the situations and readiness outcomes. Early situational difficulties uniquely and differentially predicted lower peer social and classroom learning outcomes. In combination, both the type of behavior problem (what) and the situational problem (where) explained greater variance in the prediction of readiness outcomes, contributing to a more comprehensive understanding of developmental trajectories.

Relations Between Behavior Problems in Classroom Social and Learning Situations and Peer Social Competence in Head Start and Kindergarten

The relations between early emotional and behavioral problems in classroom situations and peer social competence were examined for a representative sample of urban Head Start children. Behavior problems were assessed within the context of routine peer, teacher, and structured learning classroom situations early in the preschool year. Two path models were tested: (a) direct effects of preschool situational problems on peer social competence at the end of preschool and (b) direct and indirect effects of preschool situational problems on peer social competence at the end of kindergarten, accounting for preschool peer social competence and child demographic variables. Early problems in peer and socially mediated learning situations consistently predicted lower peer social competence in preschool and kindergarten. Problems in preschool peer situations directly and indirectly predicted greater disruptive play at the end of kindergarten, and problems in structured learning situations predicted lower interactive play at both time points. Implications for policy and practice are discussed.

Latent profiles of problem behavior within learning, peer, and teacher contexts: Identifying subgroups of children at academic risk across the preschool year☆

Employing a developmental and ecological model, the study identified initial levels and rates of change in academic skills for subgroups of preschool children exhibiting problem behavior within routine classroom situations. Six distinct latent profile types of emotional and behavioral adjustment were identified for a cohort of low-income children early in the preschool year (N=4417). Profile types provided a descriptive picture of patterns of classroom externalizing, internalizing, and situational adjustment problems common to subgroups of children early in the preschool year. The largest profile type included children who exhibited low problem behavior and were characterized as well-adjusted to the preschool classroom early in the year. The other profile types were characterized by distinct combinations of elevated internalizing, externalizing, and situational problem behavior. Multinomial logistic regression identified younger children and boys at increased risk for classification in problem types, relative to the well-adjusted type. Latent growth models indicated that children classified within the extremely socially and academically disengaged profile type, started and ended the year with the lowest academic skills, relative to all other types. Implications for future research, policy, and practice are discussed.

Methodological considerations in using complex survey data: an applied example with the Head Start Family and Child Experiences Survey.

Complex survey data are collected by means other than simple random samples. This creates two analytical issues: nonindependence and unequal selection probability. Failing to address these issues results in underestimated standard errors and biased parameter estimates. Using data from the nationally representative Head Start Family and Child Experiences Survey (FACES; 1997 and 2000 cohorts), three diverse multilevel models are presented that illustrate differences in results depending on addressing or ignoring the complex sampling issues. Limitations of using complex survey data are reported, along with recommendations for reporting complex sample results.

Peer Play Interactions and Learning for Low-Income Preschool Children: The Moderating Role of Classroom Quality

Research Findings: The present study examined the degree to which the association between interactive peer play and academic skills was dependent upon the level of classroom quality for a representative sample of culturally and linguistically diverse urban Head Start children (N = 304 children across 53 classrooms). Peer play interactions within the classroom were assessed by teacher assistants in the fall of the year; observations of the quality of classroom instructional, emotional, and organizational support were conducted in the middle of the year; and norm-referenced direct assessments of literacy, language, and mathematics skills were administered in the spring. Findings from multilevel models indicated that disruptive and disconnected peer play behaviors early in the preschool year were associated with lower literacy and language skills regardless of classroom quality. However, interactive peer play early in the year was associated with higher mathematics outcomes when children were enrolled in classrooms characterized by high instructional support. Practice or Policy: Implications for early childhood research, practice, and policy are discussed.

Identifying Mechanisms Through Which Preschool Problem Behavior Influences Academic Outcomes: What Is the Mediating Role of Negative Peer Play Interactions?

Given theoretical and empirical support for the importance of peer play within the preschool classroom to early learning, the present study tested the hypothesis that associations between teacher-reported problem behavior and academic skills were mediated by difficulties in peer play (disruptive and disconnected play), for a representative sample (N = 507 children across 46 classrooms) enrolled in a large urban Head Start program. The study also tested whether mediation was moderated by child sex (e.g., whether the mechanism through which problem behavior was associated with learning differed for boys and girls) controlling for the multilevel nature of these data. Findings from structural equation models provided evidence for partial mediation, whereby associations between internalizing behavior and academic skills were partially explained through their effects on disconnected play; however, mediation was present for girls only. Implications for theory, research, and practice are discussed as they support low-income children’s social and academic development through the context of peer play.

Centering Predictor Variables in Three-Level Contextual Models

ABSTRACT Hierarchical data are becoming increasingly complex, often involving more than two levels. Centering decisions in multilevel models are closely tied to substantive hypotheses and require researchers to be clear and cautious about their choices. This study investigated the implications of group mean centering (i.e., centering within context; CWC) and grand mean centering (CGM) of predictor variables in three-level contextual models. The goals were to (a) determine equivalencies in the means and variances across the centering options and (b) use the algebraic relationships between the centering choices to clarify the interpretation of the estimated parameters. We provide recommendations to assist the researcher in making centering decisions for analysis of three-level contextual models

Complex Sample Data Recommendations and Troubleshooting

Complex survey data, as highlighted in this issue of Evaluation Review, provide a wealth of opportunities for answering methodological and/or applied research questions. However, the analytic issues of nonindependence and unequal selection probability must be addressed when analyzing this type of data. Thus, to ensure that research questions are accurately answered when using complex survey data, researchers must take extra precautions to ensure complex survey data are correctly analyzed. The purpose of this article is to provide software recommendations for analysis of and tips on troubleshooting when analyzing complex sample data.