A Mathematical Primer For Social Statistics
DOWNLOAD
Download A Mathematical Primer For Social Statistics PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get A Mathematical Primer For Social Statistics 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
A Mathematical Primer For Social Statistics
DOWNLOAD
Author : John Fox
language : en
Publisher: SAGE Publications
Release Date : 2008-07-29
A Mathematical Primer For Social Statistics written by John Fox and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-29 with Social Science categories.
John Fox′s A Mathematical Primer for Social Statistics covers many often ignored yet important topics in mathematics and mathematical statistics. This text provides readers with the foundation on which an understanding of applied statistics rests. Intended Audience This book is ideal for advanced undergraduates, graduate students, and researchers in the social sciences who need to understand and use relatively advanced statistical methods but whose mathematical preparation for this work is insufficient. Learn more about "The Little Green Book" QASS Series! Click Here.
A Mathematical Primer For Social Statistics
DOWNLOAD
Author : John Fox
language : en
Publisher:
Release Date : 2021
A Mathematical Primer For Social Statistics written by John Fox and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Social sciences categories.
A Mathematical Primer for Social Statistics, Second Edition presents mathematics central to learning and understanding statistical methods beyond the introductory level: the basic "language" of matrices and linear algebra and its visual representation, vector geometry; differential and integral calculus; probability theory; common probability distributions; statistical estimation and inference, including likelihood-based and Bayesian methods. The volume concludes by applying mathematical concepts and operations to a familiar case, linear least-squares regression.
A Mathematical Primer For Social Statistics
DOWNLOAD
Author : John Fox
language : en
Publisher: SAGE
Release Date : 2009
A Mathematical Primer For Social Statistics written by John Fox 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 Social Science categories.
The ideal primer for students and researchers across the social sciences who wish to master the necessary maths in order to pursue studies involving advanced statistical methods
Gathering Social Network Data
DOWNLOAD
Author : jimi adams
language : en
Publisher: SAGE Publications
Release Date : 2019-06-03
Gathering Social Network Data written by jimi adams and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-03 with Social Science categories.
Gathering Social Network Data fills an important gap in the literature by focusing on methods for designing, collecting, and evaluating the data that are the subject of these analytic techniques. Author jimi adams draws on his extensive teaching experience to provide a guide that can be used by both novice and more experienced researchers alike. The volume focuses on principles, with the goal of providing readers the tools needed to develop their own approach to gathering social network data.
Rasch Models For Solving Measurement Problems
DOWNLOAD
Author : George Engelhard, Jr.
language : en
Publisher: SAGE Publications
Release Date : 2020-12-13
Rasch Models For Solving Measurement Problems written by George Engelhard, Jr. and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-13 with Social Science categories.
This book introduces current perspectives on Rasch measurement theory with an emphasis on developing Rasch-based scales. Rasch measurement theory represents a paradigm shift in measurement theory away from classical test theory and creates a framework for scaling that can yield invariant measurement. Rasch Models for Solving Measurement Problems: Invariant Measurement in the Social Sciences is a broadly accessible text. Authors George Engelhard Jr and Jue Wang introduce Rasch measurement theory step by step, with chapters on scale construction, evaluation, maintenance, and use. Points are illustrated and techniques are demonstrated through an extended example: The Food Insecurity Experience (FIE) Scale. The Rasch analyses in the book are run using the Facets computer program. Facets syntax, and R code for the ERMA program created by the authors to obtain parameter estimates and to examine model-data fit, together with sample data sets are all available on a website for the book.
Ethnographic Free List Data
DOWNLOAD
Author : Benjamin Grant Purzycki
language : en
Publisher: SAGE Publications
Release Date : 2025-03-18
Ethnographic Free List Data written by Benjamin Grant Purzycki and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-18 with Social Science categories.
Ethnographic Free-List Data: Management and Analysis With Examples in R details a method that involves research participants listing what they know or think about the researcher’s topic of interest. While researchers typically report these free-list analyses in isolation, this book incorporates them with other analytical methods and demonstrates how ethnographic free-lists can be useful to a broad social science audience. The first half of the book covers descriptive methods, and the second half incorporates insights from the early chapters into a predictive statistical framework. Author Benjamin Grant Purzycki explains how to collect, clean, and manage free-list data and how to use R to calculate and visualize the data.
Randomized Response And Related Methods
DOWNLOAD
Author : James Alan Fox
language : en
Publisher: SAGE Publications
Release Date : 2015-07-29
Randomized Response And Related Methods written by James Alan Fox and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-29 with Social Science categories.
Randomized response is a data collection strategy specifically designed for surveys of a sensitive nature. By establishing a probabilistic connection between question and answer, randomized response and related methods protect respondents who are asked to disclose personal information. Covering a half century of theoretical and applied research, the Second Edition of James Alan Fox’s Randomized Response and Related Methods significantly updates and expands what was, at the time, the first comprehensive and practical guide to randomized response.
Event History And Survival Analysis
DOWNLOAD
Author : Paul D. Allison
language : en
Publisher: SAGE Publications
Release Date : 2014-02-19
Event History And Survival Analysis written by Paul D. Allison and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-19 with Social Science categories.
Social scientists are interested in events and their causes. Although event histories are ideal for studying the causes of events, they typically possess two features—censoring and time-varying explanatory variables—that create major problems for standard statistical procedures. Several innovative approaches have been developed to accommodate these two peculiarities of event history data. This volume surveys these methods, concentrating on the approaches that are most useful to the social sciences. In particular, Paul D. Allison focuses on regression methods in which the occurrence of events is dependent on one or more explanatory variables. He gives attention to the statistical models that form the basis of event history analysis, and also to practical concerns such as data management, cost, and useful computer software. The Second Edition is part of SAGE’s Quantitative Applications in the Social Sciences (QASS) series, which continues to serve countless students, instructors, and researchers in learning the most cutting-edge quantitative techniques.
Ordinal Item Response Theory
DOWNLOAD
Author : Wijbrandt van Schuur
language : en
Publisher: SAGE Publications
Release Date : 2011-05-04
Ordinal Item Response Theory written by Wijbrandt van Schuur and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-04 with Social Science categories.
"Ordinal Item Response Theory is volume 169 in the SAGE Series "Quantitative Applications in the Social Sciences" (QASS). The of Ordinal Item Response Theory is referred to throughout many other QASS titles and fills a gap between the more classical topics of undimensional scaling, test theory, principal component and factor analysis. In addition, this volume also discusses parametric item response theory and latent class analysis. This monograph is less technical than many books on the market and is best suited for an introductory course in social science measurement"--
Applied Regression
DOWNLOAD
Author : Colin Lewis-Beck
language : en
Publisher: SAGE Publications
Release Date : 2015-06-18
Applied Regression written by Colin Lewis-Beck and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-18 with Social Science categories.
Known for its readability and clarity, this Second Edition of the best-selling Applied Regression provides an accessible introduction to regression analysis for social scientists and other professionals who want to model quantitative data. After covering the basic idea of fitting a straight line to a scatter of data points, the text uses clear language to explain both the mathematics and assumptions behind the simple linear regression model. Authors Colin Lewis-Beck and Michael Lewis-Beck then cover more specialized subjects of regression analysis, such as multiple regression, measures of model fit, analysis of residuals, interaction effects, multicollinearity, and prediction. Throughout the text, graphical and applied examples help explain and demonstrate the power and broad applicability of regression analysis for answering scientific questions.