Clustered data structures are common in many areas of educational and psychological research (e.g., students clustered in schools, patients clustered by clinician). In the course of conducting research, questions are often administered to obtain scores reflecting latent constructs. Multilevel measurement models (MLMMs) allow for modeling…

Inclusive education (IE) and the special education services related to it are relatively new in Oman. Efforts to manage special/inclusive education face many challenges due to a number of culturally rooted factors. Further, empirical research on IE in Oman is scarce and there is a need to advance IE discourse based on empirically validated…

Longitudinal data analysis in education is the study growth over time. A longitudinal study is one in which repeated observations of the same variables are recorded for the same individuals over a period of time. This type of research is known by many names (e.g., time series analysis or repeated measures design), each of which can imply subtle…

The problem of racial and ethnic discipline disproportionality is both long-standing and widespread. Educators must address this issue by identifying rates of discipline disproportionality, taking steps to reduce it, and monitoring the effects of intervention on disproportionality. The purpose of this guide is to provide a reference for…

Social return on investment (SROI) offers a new strategy to measure and communicate the value of outcomes achieved by programs that provide social, health, and education services to children and their families. It can be a powerful tool for demonstrating the monetary value of programs and services and for communicating that value in a way that can…

Social return on investment (SROI) analysis offers a practical new approach for measuring and communicating the value of outcomes achieved by programs that provide social, health, and educational services to children and their families. This guide highlights the key steps in conducting SROI research, issues in data-gathering and analysis, as well…

The purpose of this research to investigate the heterogeneity of per-pupil expenditure (PPE) slope estimates in predicting student achievement. The research question guiding this project is: how does the measured relationship between per-pupil expenditure vary across studies that use different models? In concert with SREE's 2012 conference mission…

School accountability is subject to considerable scrutiny. It generates sharp political debate, policy challenges, and continuous discussion. Growth models are now a part of that discussion. To many practitioners the sheer volume of "important to know" information is daunting. The members of the Technical Issues in Large Scale Assessment…

The purpose of this paper is to offer an analytic perspective to policy makers and educational practitioners regarding how to use longitudinal achievement data to evaluate schools. The authors further discuss the potential practical applications of their models for superintendents, researchers, and policy makers. The premise of the study is that…

Children classified as emotionally disturbed constitute a most challenging and expensive population in the public schools. This article presents a tri-part model of barriers to program design, implementation, and evaluation for children classified as emotionally disturbed in public school settings. An examination of the available school-based…

Parental involvement comes in various forms and will differ as a child moves through primary and secondary school. Epstein's (2002) classic six-types model captures the potential scope of parental involvement: (1) basic obligations of parents as care-providers; (2) schools communicating with parents about school programs; (3) parent volunteering…

The model set forth in this article makes it possible to describe and judge an educational program (specifically, nursing) on the basis of data obtained through a specified inquiry process. It provides a systematic method for organizing various types of data and allows the examination of relationships among those data. (CT)

Describes several activities of the Data and Chance program involving third and fourth graders. Students use real-life situations to investigate probability. (MKR)

Presents a model for needs assessment in school programs. The approach collects data from personal interviews with students, parents, community members, and professional staff; from an analysis of the existing curriculum; and from an in-depth student profile. (Author/WD)

The author suggests a simple three-stage model as a guideline for systematic curriculum evaluation: evaluation of goals; collection, organization, and analysis of data; and decision making. (Author)