958 resultados para legislative item


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The increased number of obese children in the United States has prompted many efforts to reduce obesity by predominantly focusing resources to develop better education, awareness, nutrition and physical activity. There has been increased interest within communities and governments to turn to policy makers for help in taking action. The possibility for various health policies geared toward preventing childhood obesity is diverse in nature. In order to understand strategies taken by Texas legislatures to address childhood obesity, this study examines childhood obesity prevention policy recommendations and subsequently uses them to identify relevant legislation. This study follows identified legislation during the 80th Texas legislative session to gain an understanding of the steps that the Texas legislatures are currently taking to prevent childhood obesity. This study concludes that the Texas legislative process was successful at effecting changes in education policy. However, during this legislative session Texas legislators did not follow many strategies and recommendations which may be more effective at reducing childhood obesity. ^

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The following is a policy analysis based on the Advocacy Coalition Framework by Paul Sabatier. The study question was who were the stakeholders in the legislative process for the issue of the Texas Youth Commission (TYC) overhaul during the Texas 80th Legislative Session. This analysis included the stakeholders identifying characteristics including beliefs and interests, goals and resources, and finally, the winning legislative solutions as embodied in three bills that were passed. The study linked the stakeholders with three bills and expanded on the literature for the stakeholder group of Policy Brokers. The conclusions were that all stakeholders including Youth Advocates, the Policy People and Policy Brokers were effective in advancing legislative solutions to address the need for an agency overhaul of TYC and that the three new policies will be evaluated in the future as either short term change or long-term reforms based on their implementation. ^

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The Work Limitations Questionnaire (WLQ) is used to determine the amount of work loss and productivity which stem from certain health conditions, including rheumatoid arthritis and cancer. The questionnaire is currently scored using methodology from Classical Test Theory. Item Response Theory, on the other hand, is a theory based on analyzing item responses. This study wanted to determine the validity of using Item Response Theory (IRT), to analyze data from the WLQ. Item responses from 572 employed adults with dysthymia, major depressive disorder (MDD), double depressive disorder (both dysthymia and MDD), rheumatoid arthritis and healthy individuals were used to determine the validity of IRT (Adler et al., 2006).^ PARSCALE, which is IRT software from Scientific Software International, Inc., was used to calculate estimates of the work limitations based on item responses from the WLQ. These estimates, also known as ability estimates, were then correlated with the raw score estimates calculated from the sum of all the items responses. Concurrent validity, which claims a measurement is valid if the correlation between the new measurement and the valid measurement is greater or equal to .90, was used to determine the validity of IRT methodology for the WLQ. Ability estimates from IRT were found to be somewhat highly correlated with the raw scores from the WLQ (above .80). However, the only subscale which had a high enough correlation for IRT to be considered valid was the time management subscale (r = .90). All other subscales, mental/interpersonal, physical, and output, did not produce valid IRT ability estimates.^ An explanation for these lower than expected correlations can be explained by the outliers found in the sample. Also, acquiescent responding (AR) bias, which is caused by the tendency for people to respond the same way to every question on a questionnaire, and the multidimensionality of the questionnaire (the WLQ is composed of four dimensions and thus four different latent variables) probably had a major impact on the IRT estimates. Furthermore, it is possible that the mental/interpersonal dimension violated the monotonocity assumption of IRT causing PARSCALE to fail to run for these estimates. The monotonicity assumption needs to be checked for the mental/interpersonal dimension. Furthermore, the use of multidimensional IRT methods would most likely remove the AR bias and increase the validity of using IRT to analyze data from the WLQ.^

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This study proposed a novel statistical method that modeled the multiple outcomes and missing data process jointly using item response theory. This method follows the "intent-to-treat" principle in clinical trials and accounts for the correlation between outcomes and missing data process. This method may provide a good solution to chronic mental disorder study. ^ The simulation study demonstrated that if the true model is the proposed model with moderate or strong correlation, ignoring the within correlation may lead to overestimate of the treatment effect and result in more type I error than specified level. Even if the within correlation is small, the performance of proposed model is as good as naïve response model. Thus, the proposed model is robust for different correlation settings if the data is generated by the proposed model.^

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