This report describes the multistep NCHS data presentation standards for rates and counts, which are based on a minimum sample size and the relative width of a confidence interval and differ between vital statistics and health surveys.
These results demonstrate disease specific associations and can provide clinicians guidance on predicted cognitive changes at the group level using information about cardiovascular risk factors.
Our study details the development of the Positive Youth Development Sustainability Scale, a self-reporting tool to assess the impacts of positive youth development (PYD) programs. The Positive Youth Development Sustainability Scale provides practitioners a tool in the field of PYD both domestically and internationally, addressing the concern of global application and sustainability criteria (e.g., resilience and happiness). First, we conducted a detailed literature review on existing PYD program assessment techniques. Next, we conducted an exploratory factor analysis, via SPSS and AMOS software, to establish the number of factors in the scale. The constructs of the five-<em>C</em>s model (Lerner, 2005; competence, confidence, character, connection, and caring) along with the sixth<em> C</em> (contribution) and happiness were confirmed into six factors. Confirmatory factor analysis was conducted using 2 samples from rural areas of Thailand and the Phoenix, Arizona, metro area (<em>n </em>= 580 and <em>n </em>= 407, respectively). Our analysis shows the factor structure was highly comparable with mean comparative fit indices of .930 (Thailand) and .933 (Phoenix metro) for Grades 9–12 and 3–6, respectively. Our study suggests that the tool can be used in different settings and demographics for PYD programs. Future studies should look at the impacts of PYD programs over long periods of time and in a wide range of grades, cultures, and countries to reaffirm multiple applications in various settings.
The National Center for Health Statistics is assessing the usefulness of recruited web panels in multiple research areas. One research area examines the use of close-ended probe questions and split-panel experiments for evaluating question-response patterns. Another research area is the development of statistical methodology to leverage the strength of national survey data to evaluate, and possibly improve, health estimates from recruited panels. Recruited web panels, with their lower cost and faster production cycle, in combination with established population health surveys, may be useful for some purposes for statistical agencies. Our initial results indicate that web survey data from a recruited panel can be used for question evaluation studies without affecting other survey content. However, the success of these data to provide estimates that align with those from large national surveys will depend on many factors, including further understanding of design features of the recruited panel (e.g. coverage and mode effects), the statistical methods and covariates used to obtain the original and adjusted weights, and the health outcomes of interest.
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