✍ Scribed by Stanislav Kolenikov, Lori A. Thombs, Douglas Steinley
No coin nor oath required. For personal study only.
A one-of-a-kind compilation of modern statistical methods designed to support and advance research across the social sciencesStatistics in the Social Sciences: Current Methodological Developments presents new and exciting statistical methodologies to help advance research and data analysis across the many disciplines in the social sciences. Quantitative methods in various subfields, from psychology to economics, are under demand for constant development and refinement. This volume features invited overview papers, as well as original research presented at the Sixth Annual Winemiller Conference: Methodological Developments of Statistics in the Social Sciences, an international meeting that focused on fostering collaboration among mathematical statisticians and social science researchers.The book provides an accessible and insightful look at modern approaches to identifying and describing current, effective methodologies that ultimately add value to various fields of social science research. With contributions from leading international experts on the topic, the book features in-depth coverage of modern quantitative social sciences topics, including:Correlation StructuresStructural Equation Models and Recent ExtensionsOrder-Constrained Proximity Matrix RepresentationsMulti-objective and Multi-dimensional ScalingDifferences in Bayesian and Non-Bayesian InferenceBootstrap Test of Shape Invariance across DistributionsStatistical Software for the Social SciencesStatistics in the Social Sciences: Current Methodological Developments is an excellent supplement for graduate courses on social science statistics in both statistics departments and quantitative social sciences programs. It is also a valuable reference for researchers and practitioners in the fields of psychology, sociology, economics, and market research.
Социологические дисциплины;Методология социологических исследований;Матметоды и моделирование в социологии;
📜 SIMILAR VOLUMES
<b>A one-of-a-kind compilation of modern statistical methods designed to support and advance research across the social sciences</b><p><i>Statistics in the Social Sciences: Current Methodological Developments</i> presents new and exciting statistical methodologies to help advance research and data a
<span>The second edition of this practical book equips social science researchers to apply the latest Bayesian methodologies to their data analysis problems.</span><span> It includes new chapters on model uncertainty, Bayesian variable selection and sparsity, and Bayesian workflow for statistical mo
<p>Philosophy of Science deals with the problem, 'What is science?' It seems that the answer to this question can only be found if we have an answer to the question, 'How does science function?' Thus, the study of the methodology of social sciences is a prominent factor in any analysis of these scie
Oncology is a rapidly developing area in medical science. A significant investment in terms of costs, resources and time is required for oncology drug development. Understanding of the challenges at all stages is vital for a successful drug launching. The purpose of this book is to provide an overvi
<p>From the beginning, the systems research movement has shown a high potential for offering a conceptual framework for the understanding of social systems. Much of this potential has been realized, but a major gap remains with regard to operational investigative aids. Developments of the last ten y
A state-of-the-art handbook of statistical analysis for use in the pharmaceutical industry. Areas covered in this reference/text include: bioavailability, repeated-measures designs, dose-response, population models, multicenter trials, handling dropouts, survival analysis, robust data analysis, cate