Time Series Analysis In The Social Sciences

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Time Series Analysis For The Social Sciences

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Author : Janet M. Box-Steffensmeier
language : en
Publisher: Cambridge University Press
Release Date : 2014-12-22

Time Series Analysis For The Social Sciences written by Janet M. Box-Steffensmeier and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-22 with Mathematics categories.

This book provides instruction and examples of the core methods in time series econometrics, drawing from several main fields of the social sciences.

Applied Time Series Analysis For The Social Sciences

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Author : Richard McCleary
language : en
Publisher:
Release Date : 1982

Applied Time Series Analysis For The Social Sciences written by Richard McCleary and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with categories.

Time Series Analysis In The Social Sciences

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Author : Youseop Shin
language : en
Publisher: Univ of California Press
Release Date : 2017-01-31

Time Series Analysis In The Social Sciences written by Youseop Shin and has been published by Univ of California Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-31 with Law categories.

"This book focuses on fundamental elements of time-series analysis that social scientists need to understand to employ time-series analysis for their research and practice. Avoiding extraordinary mathematical materials, this book explains univariate time-series analysis step-by-step, from the preliminary visual analysis through the modeling of seasonality, trends, and residuals to the prediction and the evaluation of estimated models. Then, this book explains smoothing, multiple time-series analysis, and interrupted time-series analysis. At the end of each step, this book coherently provides an analysis of the monthly violent-crime rates as an example."--Provided by publisher.

Data Analysis And Statistical Methods For Social Science Research

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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-04-20

Data Analysis And Statistical Methods For Social Science Research written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-20 with Social Science categories.

**Data Analysis and Statistical Methods for Social Science Research** provides a comprehensive introduction to the fundamental concepts and techniques of statistical analysis for social science researchers. With a focus on practical application and real-world examples, this book offers a step-by-step approach to conducting statistical analyses, covering a wide range of topics essential for social science research. From the basics of statistical data collection and visualization to advanced statistical techniques such as multivariate analysis and time series analysis, this book provides a thorough overview of the field. Key features of the book include clear and concise explanations of statistical concepts and techniques, extensive use of real-world examples and case studies to illustrate the practical application of statistical methods in social science research, and step-by-step guidance on conducting statistical analyses using popular statistical software packages. This book is an invaluable resource for social science researchers, students, and practitioners who seek to enhance their understanding of data analysis and statistical methods. With its comprehensive coverage of statistical topics and its focus on practical application, this book provides the necessary knowledge and skills to effectively analyze data and gain valuable insights from research findings. This book is also a valuable resource for professionals in fields such as healthcare, education, and business who need to analyze data to make informed decisions. By providing a clear and comprehensive understanding of statistical methods, this book empowers readers to confidently analyze data and extract meaningful insights to address real-world problems. **Key Features:** * Comprehensive coverage of statistical concepts and techniques * Extensive use of real-world examples and case studies * Step-by-step guidance on conducting statistical analyses * Clear and concise explanations of statistical concepts * Focus on practical application of statistical methods * Valuable resource for social science researchers, students, and practitioners If you like this book, write a review on google books!

The Sage Encyclopedia Of Social Science Research Methods

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Author : Michael Lewis-Beck
language : en
Publisher: SAGE
Release Date : 2004

The Sage Encyclopedia Of Social Science Research Methods written by Michael Lewis-Beck and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Reference categories.

"This defining work will be valuable to readers and researchers in social sciences and humanities at all academic levels. As a teaching resource it will be useful to instructors and students alike and will become a standard reference source. Essential for general and academic collections."--CHOICE"Appreciative users of this volume will be students, faculty, and researchers in academic, special, and large public libraries, for whom it is recommended."--LIBRARY JOURNALSAGE Reference is proud to announce The SAGE Encyclopedia of Social Science Research Methods, a three-volume resource that is a first of its kind, developed by the leading publisher of social science research methods books and journals. This unique multi-volume reference set offers readers an all-encompassing education in the ways of social science researchers. Written to be accessible to general readers, entries do not require any advanced knowledge or experience to understand the purposes and basic principles of any of the methods. The Encyclopedia features two major types of entries: definitions, consisting of a paragraph or two, provide a quick explanation of a methodological term; and topical treatments or essays discussing the nature, history, application/example and implication of using a certain method. Also included are suggested readings and references for future study. To help provide a more complete explanation than is often achieved within the scope of a single article, key terms and concepts appear in SMALL CAPITAL LETTERSto refer readers to related terms explained elsewhere. In addition to epistemological issues that influence the nature of research questions and assumptions, The SAGE Encyclopedia of Social Science Research Methods tackles topics not normally viewed as part of social science research methodology, from philosophical issues such as poststructuralismto advanced statistical techniques. In covering the full range of qualitative and quantitative data analyses, this key reference offers an integrated approach that allows the reader to choose the most appropriate and robust techniques to apply to each situation. Many entries treat traditional topics in a novel way, stimulating both interest and new perspectives. One example is the entry Econometrics, by Professor DamodarGujarati. Following a process which many educators preach but seldom practice, Gujarati walks the reader twice through the research process from economic theory to data and models to analysis, once in principle and a second time with an example. In using the ordinary process of economic research to achieve an extraordinary impact, he leaves the reader thinking not only about methods and models but also the fundamental purpose of econometrics. Topics Covered Analysis of Variance Association and Correlation Basic Qualitative Research Basic Statistics Causal Modeling (Structural Equations) Discourse/Conversation Analysis Econometrics Epistemology Ethnography Evaluation Event History Analysis Experimental Design Factor Analysis & Related Techniques Feminist Methodology Generalized Linear Models Historical/Comparative Interviewing in Qualitative Research Latent Variable Model Life History/Biography LoglinearModels (Categorical Dependent Variables) Longitudinal Analysis Mathematics and Formal Models Measurement Level Measurement Testing & Classification Multiple Regression Multilevel Analysis Qualitative Data Analysis Sampling in Surveys Sampling in Qualitative Research Scaling Significance Testing Simple Regression Survey Design Time Series Key Features Over 900 entries arranged A to Z Each entry is written by a leading authority in the field, covering both quantitative and qualitative methods Covers all disciplines within the social sciences Contains both concise definitions and in-depth essays Three volumes and more than 1500 pages

Applied Data Centric Social Sciences

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Author : Aki-Hiro Sato
language : en
Publisher: Springer
Release Date : 2014-07-29

Applied Data Centric Social Sciences written by Aki-Hiro Sato and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-29 with Mathematics categories.

Applied data-centric social sciences aim to develop both methodology and practical applications of various fields of social sciences and businesses with rich data. Specifically, in the social sciences, a vast amount of data on human activities may be useful for understanding collective human nature. In this book, the author introduces several mathematical techniques for handling a huge volume of data and analysing collective human behaviour. The book is constructed from data-oriented investigation, with mathematical methods and expressions used for dealing with data for several specific problems. The fundamental philosophy underlying the book is that both mathematical and physical concepts are determined by the purposes of data analysis. This philosophy is shown throughout exemplar studies of several fields in socio-economic systems. From a data-centric point of view, the author proposes a concept that may change people’s minds and cause them to start thinking from the basis of data. Several goals underlie the chapters of the book. The first is to describe mathematical and statistical methods for data analysis, and toward that end the author delineates methods with actual data in each chapter. The second is to find a cyber-physical link between data and data-generating mechanisms, as data are always provided by some kind of data-generating process in the real world. The third goal is to provide an impetus for the concepts and methodology set forth in this book to be applied to socio-economic systems.

Introduction To Time Series Analysis

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Author : Mark Pickup
language : en
Publisher: SAGE Publications
Release Date : 2014-10-15

Introduction To Time Series Analysis written by Mark Pickup and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-15 with Social Science categories.

Introducing time series methods and their application in social science research, this practical guide to time series models is the first in the field written for a non-econometrics audience. Giving readers the tools they need to apply models to their own research, Introduction to Time Series Analysis, by Mark Pickup, demonstrates the use of—and the assumptions underlying—common models of time series data including finite distributed lag; autoregressive distributed lag; moving average; differenced data; and GARCH, ARMA, ARIMA, and error correction models. “This volume does an excellent job of introducing modern time series analysis to social scientists who are already familiar with basic statistics and the general linear model.” —William G. Jacoby, Michigan State University

Spatial Regression Models For The Social Sciences

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Author : Guangqing Chi
language : en
Publisher: SAGE Publications
Release Date : 2019-03-06

Spatial Regression Models For The Social Sciences written by Guangqing Chi and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-06 with Social Science categories.

Space and geography are important aspects of social science research in fields such as criminology, sociology, political science, and public health. Many social scientists are interested in the spatial clustering of various behaviors and events. There has been a rapid development of interest in regression methods for analyzing spatial data over recent years, but little available on the topic that is aimed at graduate students and advanced undergraduate classes in the social sciences (most texts are for the natural sciences, or regional science, or economics, and require a good understanding of advanced statistics and probability theory). Spatial Regression Models for the Social Sciences fills the gap, and focuses on the methods that are commonly used by social scientists. Each spatial regression method is introduced in the same way. Guangqing Chi and Jun Zhu explain what each method is and when and how to apply it, by connecting it to social science research topics. They try to avoid mathematical formulas and symbols as much as possible. Secondly, throughout the book they use the same social science example to demonstrate applications of each method and what the results can tell us. Spatial Regression Models for the Social Sciences provides comprehensive coverage of spatial regression methods for social scientists and introduces the methods in an easy-to-follow manner.

Handbook Of Case Study Research In The Social Sciences

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Author : Peter Rule
language : en
Publisher: Edward Elgar Publishing
Release Date : 2024-10-03

Handbook Of Case Study Research In The Social Sciences written by Peter Rule and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-03 with Social Science categories.

In this Handbook, Peter Rule and Vaughn M. John bring together international experts to provide a thorough overview of case study research in the social sciences. Analysing both historical and contemporary examples, the Handbook contains a comprehensive grounding for both experienced and novice researchers in case study theory and methodology, drawing out the challenges as well as the prospects for its development.

Nonlinear Time Series Analysis

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Author : Holger Kantz
language : en
Publisher: Cambridge University Press
Release Date : 2004

Nonlinear Time Series Analysis written by Holger Kantz and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Mathematics categories.

The paradigm of deterministic chaos has influenced thinking in many fields of science. Chaotic systems show rich and surprising mathematical structures. In the applied sciences, deterministic chaos provides a striking explanation for irregular behaviour and anomalies in systems which do not seem to be inherently stochastic. The most direct link between chaos theory and the real world is the analysis of time series from real systems in terms of nonlinear dynamics. Experimental technique and data analysis have seen such dramatic progress that, by now, most fundamental properties of nonlinear dynamical systems have been observed in the laboratory. Great efforts are being made to exploit ideas from chaos theory wherever the data displays more structure than can be captured by traditional methods. Problems of this kind are typical in biology and physiology but also in geophysics, economics, and many other sciences.