The Evidence Base for Mental Health Consultation in Early Childhood Settings: A Research Synthesis Addressing Children's Behavioral Outcomes

Research Findings: Early childhood mental health consultation aims to reduce problem behaviors and improve social skills in young children primarily through changes in the classroom environment and teacher practices. We conducted a systematic review of the literature and identified 14 rigorous studies that reported on child-level outcomes. These studies had at least one of the following characteristics: publication in a peer-reviewed journal, use of a randomized control trial design, or inclusion of a comparison group. Across these studies, there was variation in the approaches to consultation, qualifications of the consultants, and intensity of the services provided. Overall, early childhood mental health consultation services were consistently associated with reductions in teacher-reported externalizing behaviors. Findings related to reductions in internalizing behaviors were mixed. Teacher ratings of prosocial behaviors were improved in the majority of the studies that reported on this domain. Practice or Policy: This research synthesis underscores the importance of documenting the specific approaches to early childhood mental health consultation that are being implemented to allow for replication of effective models. Areas for future research improvement include increasing rigor through studies that contain independent assessments of children's behaviors, isolating key components of effective consultation, and identifying consultant qualifications and characteristics that lead to child behavior changes.     

Scaling Up Innovative Technology-Based Mathematics

We report on the initial attempts at evaluating at scale a particular technological/curricular innovation that enables more students to develop deeper knowledge. The methods, issues, and findings of the current pilot experiment speak not only to the success of SimCalc MathWorlds, the focus of our research program, but also to the evaluation at scale of a broad class of representationally innovative technologies and to the merit of long-term investment in design-based research. In particular, we present conditions and findings from a completed pilot experiment involving 21 seventh-grade mathematics teachers from Texas. Pilot outcomes suggest that (a) innovative representational technologies can have an important impact on student learning, (b) considerable impact can be found across a wide range of teachers and conditions, and (c) these gains can be detected even in the absence of other desirable conditions. In particular, detection of student gains does not, in our case, depend on having a long-term context of learning, long-term teacher professional development, or a shift to learner-centered constructivist pedagogy. The full experiment will replicate and extend our experimental design with a wider range of teachers and schools, model the factors that contribute to classroom success with such technology, and explore what happens as research support fades away.     

Teaching about child sexual abuse by integrating criminal justice and nursing

This paper discusses an innovative, interdisciplinary course on child sexual abuse. Integrating two disciplines (criminal justice and nursing) often perceived to be distinct and unrelated, this paper demonstrates the establishment of cross-disciplinary commonalities. Based on the authors' experiences developing and presenting the course, this discussion focuses on: (a) the rationale and structure of such a course, (b) topical issues, (c) learning objectives and activities, (d) student responses to such a course, and (e) recommendations for how such a course can effectively be implemented.     

Is Parceling Really Necessary? A Comparison of Results From Item Parceling and Categorical Variable Methodology

This study examined the efficacy of 4 different parceling methods for modeling categorical data with 2, 3, and 4 categories and with normal, moderately nonnormal, and severely nonnormal distributions. The parceling methods investigated were isolated parceling in which items were parceled with other items sharing the same source of variance, and distributed parceling in which items were parceled with items influenced by different factors. These parceling strategies were crossed with strategies in which items were either parceled with similarly distributed or differently distributed items, to create 4 different parceling methods. Overall, parceling together items influenced by different factors and with different distributions resulted in better model fit, but high levels of parameter estimate bias. Across all parceling methods, parameter estimate bias ranged from 20% to over 130%. Parceling strategies were contrasted with use of the WLSMV estimator for categorical, unparceled data. Results based on this estimator are encouraging, although some bias was found when high levels of nonnormality were present. Values of the chi-square and root mean squared error of approximation based on WLSMV also resulted in Type II error rates for misspecified models when data were severely nonnormally distributed.     

Integrating Learning Communities into Study Abroad

Integrating Learning Communities into Study Abroad, piloted in Russia, was a joint effort including students, faculty, and community leaders. Participants researched business practices and studied the humanities of Russia in different cities. Future learning communities will focus on business and humanities in Italy, Hungary, and Greece.     

Using Student and Institutional Characteristics to Predict Graduation Rates at Community Colleges: New Developments in Performance Measures and Institutional Effectiveness

Prediction models using graduation rate as the performance indicator were obtained for community colleges in California, Florida, and Michigan. The results of this study indicated that institutional graduation rate could be predicted effectively from an aggregate of student and institutional characteristics. A performance measure was computed, the Institutional Performance Ratio (IPR), for each institution to form a metric. This metric was used to measure one institution's performance against another in terms of graduation rate. Based on the IPR value, an institution could determine whether its performance exceeded, met, or was below expectation.     

Assessing,Teaming, and Reflecting: Student Outcomes From Participating in a Play-Based Assessment

Preparing early childhood education (ECE) and early childhood special education (ECSE) professionals to work with young children with and without disabilities entails the acquisition of content, its application, and opportunities for reflection. This article describes a component of an ECSE assessment course focusing on the logistics and process to conduct a play-based assessment (PBA). Demographic characteristics are provided for participating students, children and, parents. The components of assessing, teaming, and reflecting as related to preparing, conducting, and writing the results are presented within the context of preservice student outcomes with corresponding student comments. Possible PBA difficulties and solutions are also described. Implications for teacher preparation in ECE and ECSE are also offered.