Elizabeth Heather Modeling 192
Tommye Hope
I aim to translate my research into policies that encourage appropriate use of treatments and technology. I do this through complex quantitative methods of analyzing large, population-based data, and through mathematical modeling, using decision and cost-effectiveness analysis. I also use qualitative methods to explore physician and patient decision-making experiences. With this unique, multimethod approach, I aim to identify and evaluate the health and economic implications of socioeconomic and geographic variations in healthcare use and adoption and the diffusion of new healthcare interventions.
My research centers combines field work, GIS, and ecologial modeling to explore questions related to urban ecosystems. To this end, my research interests are highly interdisciplinary, integrating the natural and social sciences to understand human-environment interactions with a particular focus on the utilization of spatial models and analysis techniques to better understand the relationships between urban human well-being, biodiversity, ecosystem structure and function, and land use. Through this research I seek to identify fundamental aspects of urban social-ecological systems that can effectively be applied to produce cities that support both environmental functioning and human quality-of-life.
Using confirmatory factor analysis and multi-faceted Rasch modeling, the researcher found that the measure demonstrated reliable model fit and was invariant across a grouping variable designed to examine the relationship of the number of marginalized identities and social support. The 3-factor model fit indices indicated that the model had an excellent fit (χ2 (374) = 833.77, p< .001, RMSEA = 0.069, CFI = 0.911, AIC = 955.77) and the factor loadings were all above the .70 cutoff, whereas the 1-factor model indices did not meet either of the suggested fit indices thresholds (χ2 (378) = 3057.51, p < .001, RMSEA= 0.165, CFI = 0.472, AIC = 3171.51). The results were further supported by running a χ2 difference test (χ2 (4) = 2223.74, p < .001). MFRM results indicated that there was not a significant difference between the groups in logit position for the family factor (χ2 (2) = 4.8, p = .09, SD = .07, Separation = 1.23, Strata = 1.97, Reliability = .60) or the friend/classmate factor (χ2 (2) = 4.6, p = .10, SD = .04, Separation = .64, Strata = 1.19, Reliability = .29). However, there was a significant difference between the groups for the faculty factor (χ2 (2) = 7.1, p = .03, SD = .07, Separation = 1.24, Strata = 1.98, Reliability = .60).
Background. Communication campaigns offer a viable mechanism to promote suicide prevention and reinforce mental health for U.S. veterans in midlife, a group with a high suicide burden. However, little empirical investigation of this type of messaging has been conducted, with formative campaign research conspicuously missing from the limited literature. Aims. Using the theory of planned behavior as a guide, formative research was conducted to inform the design of suicide prevention messaging by (a) describing and measuring several theoretical constructs among our audience and (b) modeling associations between constructs and intentions to seek help for suicidal behaviors and mental health more broadly. Methods. Telephone-based cross-sectional surveys were collected between 2014 and 2016 from a nationally representative sample of veterans with analyses restricted to those aged between 44 and 65 years (n = 809). Multiple logistic regression was used to identify significant factors associated with intentions to seek help for either suicidal behaviors or mental health. Results. Perceived behavioral control was one of the largest predictors of intentions to seek help for both suicidal behaviors and mental health concerns. Descriptive norms were also significantly associated with suicide-related intentions. Data further suggest several types of attitudes (i.e., discordant beliefs, stereotypes) to consider when designing messages for this group. Discussion. This study represents one of the first efforts to document and describe theoretical constructs and their influence on intentions among veterans in midlife to contribute to the development of evidence-based messaging for veterans informed by a conceptual framework. Conclusion. Findings have important implications as the use of communication strategies for suicide prevention grows increasingly popular.
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Is something missing from the series or not right? See the RePEc data check for the archive and series. 5/12: Parameter estimation for a discrete-response model with double rules of sample selection: A Bayesian approach Rong Zhang, Brett Inder and Xibin Zhang 4/12: Measuring Poverty and Inequality from Highly Aggregated Small Area Data: The Changing Fortunes of Latrobe Valley Households Jill Wright, Maria Rebecca Valenzuela and Duangkamon Chotikapanich 3/12: Bayesian Approaches to Non-parametric Estimation of Densities on the Unit Interval Song Li, Mervyn J. Silvapulle, Param Silvapulle and Xibin Zhang 2/12: Expansion of Lévy Process Functionals and Its Application in Statistical Estimation Chaohua Dong and Jiti Gao 1/12: Independence Test for High Dimensional Random Vectors G. Pan, J. Gao, Y. Yang and M. Guo 25/11: Do Policy-Related Shocks Affect Real Exchange Rates? An Empirical Analysis Using Sign Restrictions and a Penalty-Function Approach Taya Dumrongrittikul 24/11: Bayesian semiparametric GARCH models Xibin Zhang and Maxwell King 23/11: Window Length Selection and Signal-Noise Separation and Reconstruction in Singular Spectrum Analysis Atikur Khan and Donald Poskitt 22/11: Moment Tests for Window Length Selection in Singular Spectrum Analysis of Short- and Long-Memory Processes Atikur Khan and Donald Poskitt 21/11: Estimation in threshold autoregressive models with a stationary and a unit root regime Jiti Gao, Dag Tjøstheim and Jiying Yin 20/11: A New Test in Parametric Linear Models against Nonparametric Autoregressive Errors Jiti Gao and Maxwell King 19/11: Expansion of Brownian Motion Functionals and Its Application in Econometric Estimation Chaohua Dong and Jiti Gao 18/11: Nonparametric Kernel Testing in Semiparametric Autoregressive Conditional Duration Model Pipat Wongsaart and Jiti Gao 17/11: Semiparametric Estimation in Multivariate Nonstationary Time Series Models Jiti Gao and Peter Phillips 16/11: Local Linear Fitting Under Near Epoch Dependence: Uniform consistency with Convergence Rates Degui Li, Zudi Lu and Oliver Linton 15/11: Semiparametric Trending Panel Data Models with Cross-Sectional Dependence Jia Chen, Jiti Gao and Degui Li 14/11: Estimation in Partially Linear Single-Index Panel Data Models with Fixed Effects Jia Chen, Jiti Gao and Degui Li 13/11: Uniform Consistency for Nonparametric Estimators in Null Recurrent Time Series Jiti Gao, Degui Li and Dag Tjøstheim 12/11: Estimation in Single-Index Panel Data Models with Heterogeneous Link Functions Jia Chen, Jiti Gao and Degui Li 11/11: Non-Parametric Estimation of Forecast Distributions in Non-Gaussian, Non-linear State Space Models Jason Ng, Catherine Forbes, Gael Martin and Brendan McCabe 10/11: Bayesian estimation of bandwidths for a nonparametric regression model with a flexible error density Xibin Zhang, Maxwell King and Han Lin Shang 9/11: Testing for co-jumps in high-frequency financial data: an approach based on first-high-low-last prices Yin Liao and Heather Anderson 8/11: Forecasting Under Strucural Break Uncertainty Jing Tian and Heather Anderson 7/11: A New Procedure For Multiple Testing Of Econometric Models Maxwell King, Xibin Zhang and Muhammad Akram 6/11: A survey of functional principal component analysis Han Lin Shang 5/11: Real Exchange Rate Movements in Developed and Developing Economies: an Interpretation of the Balassa-Samuelson's Framework Taya Dumrongrittikul 4/11: Global Temperature Trends Trevor Breusch and Farshid Vahid 3/11: The value of feedback in forecasting competitions George Athanasopoulos and Rob Hyndman 2/11: Worker time and the cost of stability Susan Tregeagle, Elizabeth Cox, Catherine Forbes, Cathy Humphreys and Cas O'Neill 1/11: Coherent mortality forecasting: the product-ratio method with functional time series models Rob Hyndman, Heather Booth and Farah Yasmeen 22/10: Probabilistic Forecasts of Volatility and its Risk Premia Worapree Maneesoonthorn, Gael Martin, Catherine Forbes and Simone Grose 21/10: Bayesian Adaptive Bandwidth Kernel Density Estimation of Irregular Multivariate Distributions Shuowen Hu, Donald Poskitt and Xibin Zhang 20/10: Forecasting Compositional Time Series with Exponential Smoothing Methods Anne B. Koehler, Ralph Snyder, Keith Ord and Adrian Beaumont 19/10: Nonparametric modeling and forecasting electricity demand: an empirical study Han Lin Shang 18/10: A Bayesian approach to parameter estimation for kernel density estimation via transformations Qing Liu, David Pitt, Xibin Zhang and Xueyuan Wu 17/10: Short-term load forecasting based on a semi-parametric additive model Shu Fan and Rob Hyndman 16/10: The price elasticity of electricity demand in South Australia Shu Fan and Rob Hyndman 15/10: Dual P-Values, Evidential Tension and Balanced Tests Donald Poskitt and Arivalzahan Sengarapillai 14/10: VARs, Cointegration and Common Cycle Restrictions Heather Anderson and Farshid Vahid 13/10: Description Length Based Signal Detection in singular Spectrum Analysis Atikur Khan and Donald Poskitt 12/10: Forecasting the Intermittent Demand for Slow-Moving Items Keith Ord, Ralph Snyder and Adrian Beaumont 11/10: Do Jumps Matter? Forecasting Multivariate Realized Volatility allowing for Common Jumps Yin Liao, Heather Anderson and Farshid Vahid 10/10: Automatic forecasting with a modified exponential smoothing state space framework Alysha M De Livera 9/10: Forecasting age-related changes in breast cancer mortality among white and black US women: A functional approach Farah Yasmeen, Rob Hyndman and Bircan Erbas 8/10: A comparison of ten principal component methods for forecasting mortality rates Han Lin Shang, Rob Hyndman and Heather Booth 7/10: A Primal Divisia Technical Change Index Based on the Output Distance Function Guohua Feng and Apostolos Serletis 6/10: Health mobility: implications for efficiency and equity in priority setting Katharina Hauck and Aki Tsuchiya 5/10: Adverse events in surgical inpatients: A comparative analysis of public hospitals in Victoria Katharina Hauck, Xueyan Zhao and Terri Jackson 4/10: A structural equation model of adverse events and length of stay in hospitals Katharina Hauck and Xueyan Zhao 3/10: A Stochastic Frontier Model for Discrete Ordinal Outcomes: A Health Production Function William Griffiths, Xiaohui Zhang and Xueyan ZhaoPapers sorted by number 22/23 9/21 5/20 12/18 4/16 5/14 5/12 2/10 15/06 18/04 11/02 15/98 18/95 Papers sorted by number 22/23 9/21 5/20 12/18 4/16 5/14 5/12 2/10 15/06 18/04 11/02 15/98 18/95 This site is part of RePEc and all the data displayed here is part of the RePEc data set. 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