Introduction To The Comparative Method With Boolean Algebra
DOWNLOAD
Download Introduction To The Comparative Method With Boolean Algebra PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Introduction To The Comparative Method With Boolean Algebra 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
Introduction To The Comparative Method With Boolean Algebra
DOWNLOAD
Author : Daniele Caramani
language : en
Publisher: SAGE
Release Date : 2009
Introduction To The Comparative Method With Boolean Algebra written by Daniele Caramani and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Mathematics categories.
"Utilizing a systematic, broad approach, Introduction to the Comparative Method With Boolean Algebra gives readers the logical foundations of comparison with guided applications and is the ultimate comparative method text covering each of the current and most important issues in the field. Author Daniele Caramani discusses the elements of scientific research, including Mill's methods, Boolean algebra, classification and typologization, and necessary and sufficient conditions, and how these apply to concrete research in the social sciences." "This text is indispensable for upper-level undergraduate and graduate students as well as researchers interested in methodology, behavioral and social sciences, history, and logic."--BOOK JACKET.
The Comparative Method
DOWNLOAD
Author : Charles C. Ragin
language : en
Publisher: Univ of California Press
Release Date : 2014-07-18
The Comparative Method written by Charles C. Ragin 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 2014-07-18 with Social Science categories.
Charles C. Ragin’s The Comparative Method proposes a synthetic strategy, based on an application of Boolean algebra, that combines the strengths of both qualitative and quantitative sociology. Elegantly accessible and germane to the work of all the social sciences, and now updated with a new introduction, this book will continue to garner interest, debate, and praise.
The Palgrave Handbook Of Comparative Public Administration
DOWNLOAD
Author : Murat Önder
language : en
Publisher: Springer Nature
Release Date : 2022-06-16
The Palgrave Handbook Of Comparative Public Administration written by Murat Önder and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-16 with Law categories.
This handbook discusses different countries’ bureaucratic, institutional, constitutional, reforms and governance system. It analyses the legislative and policy making processes and applications, local structures and functions of public administration in a given country. It presents the comparative aspects of public administration across the globe with recent developments in the field.
Heteroskedasticity In Regression
DOWNLOAD
Author : Robert L. Kaufman
language : en
Publisher: SAGE Publications
Release Date : 2013-06-28
Heteroskedasticity In Regression written by Robert L. Kaufman and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-28 with Social Science categories.
Heteroskedasticity in Regression: Detection and Correction, by Robert Kaufman, covers the commonly ignored topic of heteroskedasticity (unequal error variances) in regression analyses and provides a practical guide for how to proceed in terms of testing and correction. Emphasizing how to apply diagnostic tests and corrections for heteroskedasticity in actual data analyses, the monograph offers three approaches for dealing with heteroskedasticity: (1) variance-stabilizing transformations of the dependent variable; (2) calculating robust standard errors, or heteroskedasticity-consistent standard errors; and (3) generalized least squares estimation coefficients and standard errors. The detection and correction of heteroskedasticity is illustrated with three examples that vary in terms of sample size and the types of units analyzed (individuals, households, U.S. states). Intended as a supplementary text for graduate-level courses and a primer for quantitative researchers, the book fills the gap between the limited coverage of heteroskedasticity provided in applied regression textbooks and the more theoretical statistical treatment in advanced econometrics textbooks.
Multilevel Structural Equation Modeling
DOWNLOAD
Author : Bruno Castanho Silva
language : en
Publisher: SAGE Publications
Release Date : 2019-02-28
Multilevel Structural Equation Modeling written by Bruno Castanho Silva and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-28 with Social Science categories.
Multilevel Structural Equation Modeling serves as a minimally technical overview of multilevel structural equation modeling (MSEM) for applied researchers and advanced graduate students in the social sciences. As the first book of its kind, this title is an accessible, hands-on introduction for beginners of the topic. The authors predict a growth in this area, fueled by both data availability and also the availability of new and improved software to run these models. The applied approach, combined with a graphical presentation style and minimal reliance on complex matrix algebra guarantee that this volume will be useful to social science graduate students wanting to utilize such models.
Exploring Rating Scale Functioning For Survey Research
DOWNLOAD
Author : Stefanie A. Wind
language : en
Publisher: SAGE Publications
Release Date : 2022-12-19
Exploring Rating Scale Functioning For Survey Research written by Stefanie A. Wind and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-19 with Social Science categories.
Items with ordered response categories are common in survey research, such as when respondents are asked how much they agree with certain statements. But how large are the differences between categories of response, and how well do they distinguish between respondents? This volume is the first to introduce the evaluation of rating scales to an audience of survey researchers. Evaluating Rating Scale Functioning for Survey Research provides researchers with an overview of rating scale analysis along with practical guidance on how to conduct such analyses with their own survey data. Author Stefanie A. Wind presents three categories of methods: Rasch models; non-Rasch Item Response Theory (IRT) models; and non-parametric models, together with practical examples. Tutorials, datasets, and software code (R and Facets) to accompany the book are available on the book’s website.
Spatial Regression Models
DOWNLOAD
Author : Michael D. Ward
language : en
Publisher: SAGE Publications
Release Date : 2018-04-10
Spatial Regression Models written by Michael D. Ward and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-10 with Social Science categories.
Spatial Regression Models illustrates the use of spatial analysis in the social sciences within a regression framework and is accessible to readers with no prior background in spatial analysis. The text covers different modeling-related topics for continuous dependent variables, including mapping data on spatial units, creating data from maps, analyzing exploratory spatial data, working with regression models that have spatially dependent regressors, and estimating regression models with spatially correlated error structures. Using social science examples based on real data, the authors illustrate the concepts discussed, and show how to obtain and interpret relevant results. The examples are presented along with the relevant code to replicate all the analysis using the R package for statistical computing. Users can download both the data and computer code to work through all the examples found in the text. New to the Second Edition is a chapter on mapping as data exploration and its role in the research process, updates to all chapters based on substantive and methodological work, as well as software updates, and information on estimation of time-series, cross-sectional spatial models.
Making Sense Of Statistical Methods In Social Research
DOWNLOAD
Author : Keming Yang
language : en
Publisher: SAGE
Release Date : 2010-03-25
Making Sense Of Statistical Methods In Social Research written by Keming Yang and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-25 with Social Science categories.
Making Sense of Statistical Methods in Social Research is a critical introduction to the use of statistical methods in social research. It provides a unique approach to statistics that concentrates on helping social researchers think about the conceptual basis for the statistical methods they′re using. Whereas other statistical methods books instruct students in how to get through the statistics-based elements of their chosen course with as little mathematical knowledge as possible, this book aims to improve students′ statistical literacy, with the ultimate goal of turning them into competent researchers. Making Sense of Statistical Methods in Social Research contains careful discussion of the conceptual foundation of statistical methods, specifying what questions they can, or cannot, answer. The logic of each statistical method or procedure is explained, drawing on the historical development of the method, existing publications that apply the method, and methodological discussions. Statistical techniques and procedures are presented not for the purpose of showing how to produce statistics with certain software packages, but as a way of illuminating the underlying logic behind the symbols. The limited statistical knowledge that students gain from straight forward ′how-to′ books makes it very hard for students to move beyond introductory statistics courses to postgraduate study and research. This book should help to bridge this gap.
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
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 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-12 with Mathematics categories.
This practical guide teaches nonstatisticians how to analyze and interpret loglinear models using the multigraph 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.