This report examined three potential indicators of college enrollment school and district staff might use to identify and support students at risk of not attending college: (1) Chicago: Designed to predict high school graduation; based on earning six course credits--the minimum to advance to the next grade in HISD--and having at most one semester…

This brief examines strategies for leveraging State longitudinal data systems (SLDS) to promote college and career readiness (CCR) goals. The examples provided are based on current state efforts to use their state longitudinal data systems to achieve their CCR vision and goals. The following information outlines the basic purpose and elements of…

In Australia and many other countries, the provision of the healthiest possible start in life for all children has been a priority for government. Evidence to support the importance of the early years for future development has accumulated over the past two decades [1]. Patterns of childhood development predict health, wellbeing, learning and…

This manuscript provides an overview of hierarchical linear modeling (HLM), as part of a series of papers covering topics relevant to consumers of educational research. HLM is tremendously flexible, allowing researchers to specify relations across multiple "levels" of the educational system (e.g., students, classrooms, schools, etc.).…

This document was produced by the authors based on their research for the report "School Completion: What We Learn from Different Measures of Family Background," and is an added resource for further information. This study relies on two main sources to analyse how Year 12 completion is related to disadvantage: the Longitudinal Surveys of…

Recent years have seen increased attention to the high school-college transition. Students are enrolling in college in record numbers, yet they are also taking increasing numbers of remedial courses. How to measure and report on academic readiness for college is an important policy issue receiving attention from the National Assessment Governing…

Research on divorce during the past decade has focused on a range of topics, including the predictors of divorce, associations between divorce and the well-being of children and former spouses, and interventions for divorcing couples. Methodological advances during the past decade include a greater reliance on nationally representative…

Longitudinal data analysis has long played a significant role in empirical research within the developmental sciences. The past decade has given rise to a host of new and exciting analytic methods for studying between-person differences in within-person change. These methods are broadly organized under the term "growth curve models." The…

Facing substantial financial pressure, many districts close schools in order to preserve solvency and improve student outcomes. Using a new longitudinal data set on all non-Cook County Illinois schools, we examine the determinants of high school closure decisions from 1986 through 2006. Our dataset combines information from a wide variety of…

Objective: The current introductory article provides the rationale for the special section on understudied smokers and innovative treatments. This article proposes a definition of "special populations" of smokers, outlines a priori criteria by which to judge whether an intervention should be adapted for these smokers, and delineates a process by…

When using linear models for cluster-correlated or longitudinal data, a common modeling practice is to begin by fitting a relatively simple model and then to increase the model complexity in steps. New predictors might be added to the model, or a more complex covariance structure might be specified for the observations. When fitting models for…

This article shows how nonlinear latent curve models may be fitted for simultaneous analysis of multiple variables measured longitudinally using Mx statistical software. Longitudinal studies often involve observation of several variables across time with interest in the associations between change characteristics of different variables measured…

The association between marijuana use and depressive symptoms was examined longitudinally in a sample of 622 African American youth, interviewed on six occasions, using hierarchical linear modeling (HLM). We considered whether depressive symptoms predicted changes in marijuana use and vice versa from high school through the transition into young…

Over the past 25 years the science of prevention of adolescent health and behavior problems has matured as a result of longitudinal studies of predictors of these problems and controlled studies of preventive interventions focused on those predictors that have revealed efficacious prevention strategies. This article builds on three Aaron Rosen…

This report details the findings from the first stage of a study of placement instability in substitute care in Illinois. Funded by the Illinois Department of Children and Family Services (IDCFS), the goals of the study were to develop an accurate picture of the nature and prevalence of placement instability in Illinois and a better…