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Full-Text Articles in Social and Behavioral Sciences
Establishing Roots Before Branching Out: Parameter Recovery In Item Response Tree Models, Tyler Ryan
Establishing Roots Before Branching Out: Parameter Recovery In Item Response Tree Models, Tyler Ryan
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Item Response Trees are a type of item response model that incorporates information about conditional responding to items using a rooted tree graph structure. Researchers have used item response trees for common measurement tasks and for testing novel hypotheses. Previous simulation studies investigating item response trees either lack generalizability to the broad domain of their use or lack thorough investigation and reporting of the results. I conducted a simulation study to explore how sample size, test length, item characteristics, and tree structure affect both item and person parameter recovery for 1PL and 2PL models. The results suggested that, as with …
Abandoned By Home And Burden Of Host: Evaluating States' Economic Ability And Refugee Acceptance Through Panel Data Analysis, Ummey Hanney Tabassum
Abandoned By Home And Burden Of Host: Evaluating States' Economic Ability And Refugee Acceptance Through Panel Data Analysis, Ummey Hanney Tabassum
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This research examines the relationship between the number of refugees hosted by states and the economic ability of host states by using UNHCR’s refugee data and World Bank’s GNI per capita data. To identify the relationship between these two variables, this study uses two sets of panel data covering 145-178 countries, around 43-55 years and 3000-5000 observations. For the two sets of panel data, four models are produced to test the null and alternative hypotheses. In all four cases, results show that there is a statistically significant negative correlation between the number of refugees hosted by states and GNI per …
When Words Are Worse Than Bullets: A Study Of Corruption As An Unintended Consequence Of Threats Of Sanctions, Aleksei Balanov
When Words Are Worse Than Bullets: A Study Of Corruption As An Unintended Consequence Of Threats Of Sanctions, Aleksei Balanov
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This research contributes to the debates on the efficacy of economic sanctions as a tool of international diplomacy. It focuses on corruption, one of the potential unintended consequences of sanctions. Using multiple regression on a custom cross-sectional time series dataset of more than a thousand observations, this research finds the correlation between threats of sanctions and level of corruption statistically significant. The model suggests each new round of threats translates into a 1.25% increase in corruption for relatively clean states and a 5% increase for already corrupt states. The resulting policy implications are examined in this thesis.
The Effects Of Multicollinearity In Multilevel Models, Patrick Carl Clark Jr.
The Effects Of Multicollinearity In Multilevel Models, Patrick Carl Clark Jr.
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This study examined a method for calculating the impact of multicollinearity on multilevel modeling. The major research questions concerned a) how the simulation design factors affect (multilevel variance inflation factor) MVIF, b) how MVIF affects standard errors of regression coefficients, and c) how MVIF affects significance of regression coefficients. Monte Carlo simulations were conducted to address these questions. Predictor relationships were manipulated in order to simulate multicollinearity. Findings indicate that a) increases in relationships among Level 1 predictors and also relationships among Level 2 predictors led to increased MVIF for those specific variables, b) as MVIF increases for a predictor, …