RAND researchers have pioneered several different methodologies, such as the Delphi method and robust decisionmaking, and continue to apply their methodological expertise in multidisciplinary projects that may require a range of capabilities, including modeling and simulation, survey research, economic or statistical analysis, or planning and forecasting.
There is little evidence that peer review is the best way to apportion research money—and even less evidence for the alternatives.
Research linking high-quality child care programs and children's cognitive development has contributed to the growing popularity of child care quality benchmarking efforts such as quality rating and improvement systems (QRIS).
Simulated patient, or so-called mystery-shopper, studies are a controversial, but potentially useful, approach to take when conducting health services research.
Although the initiation of sexual behaviors in adolescence is normative, adverse sexual health outcomes disproportionately affect adolescents relative to adults.
The authors design and test a model to predict surge capacity bottlenecks at a large academic medical center in response to a mass-casualty incident (MCI) involving multiple burn victims.
Using data from the Measures of Effective Teaching (MET) project, researchers developed a model to compile data from multiple sources that could be used to make inferences about a teacher's impact on student achievement.
This report presents an in-depth discussion of the technical methods, findings, and implications of the Measures of Effective Teaching (MET) project's random assignment study of teaching effectiveness measures.
Increasing digitalization and the evolution of the Internet have had, and are still having, an impact on the demand for postal services.
This article describes the computations needed to obtain logistic approximations of marginal trace lines for graded response items derived from multidimensional bifactor item response theory (IRT) models.
This paper reviews the need for, use of, and demands on climate modeling to support so-called 'robust' decision frameworks, in the context of improving the contribution of climate information to effective decision making.
Evidence-based treatment for anxiety disorders in primary care improves physical functioning when measured using oblique scoring of the SF-12.
We analyze published evidence on strategies to optimize the management and allocation of scarce resources across a wide range of mass casualty event contexts and study designs.
We describe a new method that allows oversampling on the basis of indirectly estimated race/ethnicity when name and address information are available.
This article reports interim findings from a randomized controlled trial evaluating Assets-Getting To Outcomes (AGTO)
The goal of this paper is to document and evaluate the process of implementing an evidence-based depression intervention in community settings through the use of community-academic partnered approaches.
Within the DSM-IV, PTSD symptoms are rationally classified as assessing one of three symptom domains: reexperiencing, avoidance/numbing, or hyperarousal. However, two alternative four-factor models have been advocated as superior to the DSM-IV framework.
This paper details some of the conditions that allow fragmented, local knowledge to accumulate through a series of structured steps from the artificial simplicity of the laboratory to the complexity of real world application.
This document presents a rapid assessment of the innovation and competitiveness impacts of the measures affecting: automated processing; control of data processing; and data transfers.
This study addresses the symptom overlap of people meeting DSM-IV-TR diagnostic criteria for GAD, MDD, or both to investigate whether comorbidity might be explained by overlapping diagnostic criteria.
Recent advances in GPS data processing have demonstrated that ground-based GPS receivers are capable of detecting ionospheric TEC perturbations caused by surface-generated Rayleigh, acoustic and gravity waves.
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