Spatial Regression Models For The Social Sciences
DOWNLOAD
Download Spatial Regression Models For The Social Sciences PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Spatial Regression Models For The Social Sciences book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Spatial Regression Models For The Social Sciences
DOWNLOAD
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.
Spatial Regression Models for the Social Sciences shows researchers and students how to work with spatial data without the need for advanced mathematical statistics. Focusing on the methods that are commonly used by social scientists, 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. 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
DOWNLOAD
Author : Guangqing Chi
language : en
Publisher:
Release Date : 2019
Spatial Regression Models For The Social Sciences written by Guangqing Chi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Social sciences categories.
Applied Regression Models In The Social Sciences
DOWNLOAD
Author : Dudley L. Poston, Jr
language : en
Publisher: Cambridge University Press
Release Date : 2023-08-17
Applied Regression Models In The Social Sciences written by Dudley L. Poston, Jr 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 2023-08-17 with Social Science categories.
This accessible and practical textbook gives students the perfect guide to the use of regression models in testing and evaluating hypotheses dealing with social relationships. A range of statistical methods suited to a wide variety of dependent variables is explained, which will allow students to read, understand, and interpret complex statistical analyses of social data. Each chapter contains example applications using relevant statistical methods in both Stata and R, giving students direct experience of applying their knowledge. A full suite of online resources - including statistical command files, datasets and results files, homework assignments, class discussion topics, PowerPoint slides, and exam questions - supports the student to work independently with the data, and the instructor to deliver the most effective possible course. This is the ideal textbook for advanced undergraduate and beginning graduate students taking courses in applied social statistics.
Spatially Integrated Social Science
DOWNLOAD
Author : Michael F. Goodchild
language : en
Publisher: Oxford University Press
Release Date : 2004-01-15
Spatially Integrated Social Science written by Michael F. Goodchild and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-01-15 with Social Science categories.
Spatial analysis assists theoretical understanding and empirical testing in the social sciences, and rapidly expanding applications of geographic information technologies have advanced the spatial data-gathering needed for spatial analysis and model making. This much-needed volume covers outstanding examples of spatial thinking in the social sciences, with each chapter showing some aspect of how certain social processes can be understood by analyzing their spatial context. The audience for this work is as trans-disciplinary as its authorship because it contains approaches and methodologies useful to geography, anthropology, history, political science, economics, criminology, sociology, and statistics.
Handbook Of Spatial Analysis In The Social Sciences
DOWNLOAD
Author : Sergio J. Rey
language : en
Publisher: Edward Elgar Publishing
Release Date : 2022-11-18
Handbook Of Spatial Analysis In The Social Sciences written by Sergio J. Rey 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 2022-11-18 with Technology & Engineering categories.
Providing an authoritative assessment of the current landscape of spatial analysis in the social sciences, this cutting-edge Handbook covers the full range of standard and emerging methods across the social science domain areas in which these methods are typically applied. Accessible and comprehensive, it expertly answers the key questions regarding the dynamic intersection of spatial analysis and the social sciences.
Differential Item Functioning
DOWNLOAD
Author : Steven J. Osterlind
language : en
Publisher: SAGE
Release Date : 2009-09-30
Differential Item Functioning written by Steven J. Osterlind and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-30 with Mathematics categories.
Differential Item Functioning, Second Edition is a revision of the 1983 title Test Item Bias. In the past 23 years, differential item performance has assumed a level of attention unimagined in the early 1980s. Then, only a few tests and assessment programs attended to "item bias," while doing so is now a mandatory step in any responsible assessment program. Also, technical advances, such as the widespread use of item response theory, have pushed the field of differential performance to levels of technical sophistication far beyond what was practiced years ago. This new edition presents an up-to-date description of DIF; describes varying procedures for addressing DIF in practical testing contexts; presents useful examples and studies of DIF that readers may employ as a guide in their own DIF work; and briefly describes relevant features of major statistical packages that can be employed in DIF analysis (e.g., SPSS, SAS, M+, Minitab, and Systat). This text is ideal for the measurement professional or advanced student who deals with educational or psychological assessment. Readers need only have a preliminary background in tests and measurement, including some beginning statistics and elementary algebra, in order to find this volume useful.
An Introduction To Exponential Random Graph Modeling
DOWNLOAD
Author : Jenine K. Harris
language : en
Publisher: SAGE Publications
Release Date : 2013-12-23
An Introduction To Exponential Random Graph Modeling written by Jenine K. Harris and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-23 with Social Science categories.
This volume introduces the basic concepts of Exponential Random Graph Modeling (ERGM), gives examples of why it is used, and shows the reader how to conduct basic ERGM analyses in their own research. ERGM is a statistical approach to modeling social network structure that goes beyond the descriptive methods conventionally used in social network analysis. Although it was developed to handle the inherent non-independence of network data, the results of ERGM are interpreted in similar ways to logistic regression, making this a very useful method for examining social systems. Recent advances in statistical software have helped make ERGM accessible to social scientists, but a concise guide to using ERGM has been lacking. This book fills that gap, by using examples from public health, and walking the reader through the process of ERGM model-building using R statistical software and the statnet package. An Introduction to Exponential Random Graph Modeling is a part of SAGE’s Quantitative Applications in the Social Sciences (QASS) series, which has helped countless students, instructors, and researchers learn cutting-edge quantitative techniques.
Crime Mapping And Spatial Data Analysis Using R
DOWNLOAD
Author : Juan Medina Ariza
language : en
Publisher: CRC Press
Release Date : 2023-04-27
Crime Mapping And Spatial Data Analysis Using R written by Juan Medina Ariza and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-27 with Mathematics categories.
Crime mapping and analysis sit at the intersection of geocomputation, data visualisation and cartography, spatial statistics, environmental criminology, and crime analysis. This book brings together relevant knowledge from these fields into a practical, hands-on guide, providing a useful introduction and reference material for topics in crime mapping, the geography of crime, environmental criminology, and crime analysis. It can be used by students, practitioners, and academics alike, whether to develop a university course, to support further training and development, or to hone skills in self-teaching R and crime mapping and spatial data analysis. It is not an advanced statistics textbook, but rather an applied guide and later useful reference books, intended to be read and for readers to practice the learnings from each chapter in sequence. In the first part of this volume we introduce key concepts for geographic analysis and representation and provide the reader with the foundations needed to visualise spatial crime data. We then introduce a series of tools to study spatial homogeneity and dependence. A key focus in this section is how to visualise and detect local clusters of crime and repeat victimisation. The final chapters introduce the use of basic spatial models, which account for the distribution of crime across space. In terms of spatial data analysis the focus of the book is on spatial point pattern analysis and lattice or area data analysis.
Ordinal Item Response Theory
DOWNLOAD
Author : Wijbrandt H. van Schuur
language : en
Publisher: SAGE
Release Date : 2011-05-04
Ordinal Item Response Theory written by Wijbrandt H. van Schuur and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-04 with Social Science categories.
Measurement in the social sciences often refers to standardized answers to close-ended questions, in which answers are analyzed as if they were measurements on an interval scale. This volume presents a measurement model that maintains the ordinal aspects of the data in order to establish how well the model fits and how it measures subjects and items. It relaxes the most stringent assumptions from parametric item response theory, while maintaining its advantages over classical measurement methods, such as reliability and factor analysis. This volume is less technical than other books on the topic and is ideal for introductory courses in social science measurement.
The Association Graph And The Multigraph For Loglinear Models
DOWNLOAD
Author : Harry J. Khamis
language : en
Publisher: SAGE Publications
Release Date : 2011-01-12
The Association Graph And The Multigraph For Loglinear Models written by Harry J. Khamis and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-12 with Mathematics categories.
The Association Graph and the Multigraph for Loglinear Models will help students, particularly those studying the analysis of categorical data, to develop the ability to evaluate and unravel even the most complex loglinear models without heavy calculations or statistical software. This supplemental text reviews loglinear models, explains the association graph, and introduces the multigraph to students who may have little prior experience of graphical techniques, but have some familiarity with categorical variable modeling. The author presents logical step-by-step techniques from the point of view of the practitioner, focusing on how the technique is applied to contingency table data and how the results are interpreted.