Kirjahaku

Monte Carlo Simulation is a method of evaluating substantive hypotheses and statistical estimators by developing a computer algorithm to simulate a population, drawing multiple samples from this pseudo-population, and evaluating estimates obtained from these samples. Christopher Z. Mooney explains the logic behind Monte Carlo Simulation and demonstrates its uses for social and behavioral research in conducting inference using statistics with only weak mathematical theory, testing null hypotheses under a variety of plausible conditions, assessing the robustness of parametric inference to violations of its assumptions, assessing the quality of inferential methods, and comparing the properties of two or more estimators. In addition, Mooney carefully demonstrates how to prepare computer algorithms using GAUSS code and illustrates these principles using several research examples. is a method of evaluating substantive hypotheses and statistical estimators by developing a computer algorithm to simulate a population, drawing multiple samples from this pseudo-population, and evaluating estimates obtained from these samples. Christopher Z. Mooney explains the logic behind and demonstrates its uses for social and behavioral research in conducting inference using statistics with only weak mathematical theory, testing null hypotheses under a variety of plausible conditions, assessing the robustness of parametric inference to violations of its assumptions, assessing the quality of inferential methods, and comparing the properties of two or more estimators. In addition, Mooney carefully demonstrates how to prepare computer algorithms using GAUSS code and illustrates these principles using several research examples. Monte Carlo Simulation will enable researchers to effectively execute Monte Carlo Simulation and to interpret the estimated sampling distribution generated from its use. will enable researchers to effectively execute Monte Carlo Simulation and to interpret the estimated sampling distribution generated from its use.

In 1969, political scientist Jack Walker published 'The Diffusion of Innovations among the American States' in the American Political Science Review. 'Walker 1969' has since become a cornerstone of political science, packed with ideas, conjectures, and suggestions that spawned multiple lines of research in multiple fields. In good Kuhnian fashion, Walker 1969 is important less for the answers it provides than for the questions it raises, inspiring generations of political scientists to use the political, institutional, and policy differences among the states to understand policymaking better. Walker 1969 is the rock on which the modern subfield of state politics scholarship was built, in addition to inspiring copious research into federalism, comparative politics, and international relations. This Element documents the deep and extensive impact of Walker 1969 on the study of policymaking in the US states. In the process, it organizes and analyzes that literature, demonstrating its progress and promise.