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Title A Mathematical Primer for Social Statistics
Author John Fox
Publisher SAGE Publications
Release 2021-01-11
Category Social Science
Total Pages 240
ISBN 1071833243
Language English, Spanish, and French
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Book Summary:

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. The Second Edition pays more attention to visualization, including the elliptical geometry of quadratic forms and its application to statistics. It also covers some new topics, such as an introduction to Markov-Chain Monte Carlo methods, which are important in modern Bayesian statistics. A companion website includes materials that enable readers to use the R statistical computing environment to reproduce and explore computations and visualizations presented in the text. The book is an excellent companion to a "math camp" or a course designed to provide foundational mathematics needed to understand relatively advanced statistical methods.

Title A Mathematical Primer for Social Statistics
Author John Fox
Publisher SAGE
Release 2009
Category Mathematics
Total Pages 170
ISBN 1412960800
Language English, Spanish, and French
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Book Summary:

Beyond the introductory level, learning and effectively using statistical methods in the social sciences requires some knowledge of mathematics. This handy volume introduces the areas of mathematics that are most important to applied social statistics.

Title Applied Univariate Bivariate and Multivariate Statistics
Author Daniel J. Denis
Publisher John Wiley & Sons
Release 2015-11-02
Category Mathematics
Total Pages 760
ISBN 1118632311
Language English, Spanish, and French
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Book Summary:

A clear and efficient balance between theory and application of statistical modeling techniques in the social and behavioral sciences Written as a general and accessible introduction, Applied Univariate, Bivariate, and Multivariate Statistics provides an overview of statistical modeling techniques used in fields in the social and behavioral sciences. Blending statistical theory and methodology, the book surveys both the technical and theoretical aspects of good data analysis. Featuring applied resources at various levels, the book includes statistical techniques such as t-tests and correlation as well as more advanced procedures such as MANOVA, factor analysis, and structural equation modeling. To promote a more in-depth interpretation of statistical techniques across the sciences, the book surveys some of the technical arguments underlying formulas and equations. Applied Univariate, Bivariate, and Multivariate Statistics also features Demonstrations of statistical techniques using software packages such as R and SPSS® Examples of hypothetical and real data with subsequent statistical analyses Historical and philosophical insights into many of the techniques used in modern social science A companion website that includes further instructional details, additional data sets, solutions to selected exercises, and multiple programming options An ideal textbook for courses in statistics and methodology at the upper- undergraduate and graduate-levels in psychology, political science, biology, sociology, education, economics, communications, law, and survey research, Applied Univariate, Bivariate, and Multivariate Statistics is also a useful reference for practitioners and researchers in their field of application. DANIEL J. DENIS, PhD, is Associate Professor of Quantitative Psychology at the University of Montana where he teaches courses in univariate and multivariate statistics. He has published a number of articles in peer-reviewed journals and has served as consultant to researchers and practitioners in a variety of fields.

Title Propensity Score Methods and Applications
Author Haiyan Bai
Publisher SAGE Publications
Release 2018-11-20
Category Social Science
Total Pages 136
ISBN 1506378064
Language English, Spanish, and French
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Book Summary:

A concise, introductory text, Propensity Score Methods and Applications describes propensity score methods (PSM) and how they are used to balance the distributions of observed covariates between treatment conditions as a means to reduce selection bias. This new QASS title specifically focuses on the procedures of implementing PSM for research in social sciences, instead of merely demonstrating the effectiveness of the method. Using succinct and approachable language to introduce the basic concepts of PSM, authors Haiyan Bai and M. H. Clark present basic concepts, assumptions, procedures, available software packages, and step-by-step examples for implementing PSM using real-world data, with exercises at the end of each chapter allowing readers to replicate examples on their own.

Multilevel Structural Equation Modeling by Bruno Castanho Silva

Title Multilevel Structural Equation Modeling
Author Bruno Castanho Silva
Publisher SAGE Publications
Release 2019-02-28
Category Social Science
Total Pages 144
ISBN 1544323069
Language English, Spanish, and French
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Book Summary:

Multilevel Structural Equation Modeling by Bruno Castanho Silva, Constantin Manuel Bosancianu, and Levente Littvay 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.

A Primer of Social Statistics by Sanford M. Dornbusch

Title A Primer of Social Statistics
Author Sanford M. Dornbusch
Publisher
Release 1955
Category Statistics
Total Pages 251
ISBN
Language English, Spanish, and French
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Book Summary:

Title An R Companion to Applied Regression
Author John Fox
Publisher SAGE
Release 2010-11-29
Category Social Science
Total Pages 472
ISBN 1452235759
Language English, Spanish, and French
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Book Summary:

This is a broad introduction to the R statistical computing environment in the context of applied regression analysis. It is a thoroughly updated edition of John Fox's bestselling text An R and S-Plus Companion to Applied Regression (SAGE, 2002). The Second Edition is intended as a companion to any course on modern applied regression analysis. The authors provide a step-by-step guide to using the high-quality free statistical software R, an emphasis on integrating statistical computing in R with the practice of data analysis, coverage of generalized linear models, enhanced coverage of R graphics and programming, and substantial web-based support materials.

Title A Knight of the Cumberland
Author John Fox
Publisher Sheba Blake Publishing
Release 2017-08-11
Category Fiction
Total Pages 47
ISBN 3962178503
Language English, Spanish, and French
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Book Summary:

Populated by a parade of fascinating characters, this slice-of-life story provides a glimpse into life in the Appalachian region in the early twentieth century. A prodigal son, the offspring of a legendary local moonshiner, makes his yearly pilgrimage home to the wilds of Virginia, where he kicks off the vestiges of his comparatively sophisticated existence in the city and immerses himself in the local customs. John Fox Jr. (December 16, 1862 – July 8, 1919) was an American journalist, novelist, and short story writer. Though he occasionally wrote for periodicals, after 1904, Fox dedicated much of his attention to fiction. The Little Shepherd of Kingdom Come (published in 1903) and The Trail of the Lonesome Pine (published in 1908) are arguably his most well known and successful works, entering the New York Times top ten list of bestselling novels for 1903, 1904, 1908, and 1909 respectively. In The Trail of the Lonesome Pine, the character Devil Judd Tolliver was based on the real life of "Devil John" Wesley Wright, the sheriff of Wise County, Virginia. Many of his works reflected the naturalist style, his childhood in Kentucky's Bluegrass region, and his life among the coal miners of Big Stone Gap, Virginia. Many of his novels were historical romances or period dramas set in that region. John Fox Jr. died in 1919 of pneumonia in Big Stone Gap, Virginia, and was buried in the family plot in Paris, Kentucky. His marriage to Austrian opera singer Fritzi Scheff in 1908 lasted just over four years. He had no children. The John Fox Jr. House in Big Stone Gap was turned into a museum after the death of John's sister in 1970. It was listed on the National Register of Historic Places in 1974.

A Cumberland Vendetta by John Fox

Title A Cumberland Vendetta
Author John Fox
Publisher Sheba Blake Publishing
Release 2017-08-09
Category Fiction
Total Pages 51
ISBN 3962177922
Language English, Spanish, and French
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Book Summary:

A Cumberland Vendetta is a fictional novel written by John Fox, Jr. The novel is set in Appalachia at the turn of the 20th century. John Fox Jr. (December 16, 1862 – July 8, 1919) was an American journalist, novelist, and short story writer. Born in Stony Point, Kentucky, to John William Fox, Sr., and Minerva Worth Carr, Fox studied English at Harvard University. He graduated in 1883 before becoming a reporter in New York City. After working for both New York Times and the New York Sun, he published a successful serialization of his first novel, A Mountain Europa, in Century magazine in 1892. Two moderately successful short story collections followed, as well as his first conventional novel, The Kentuckians in 1898. Fox gained a following as a war correspondent, working for Harper's Weekly in Cuba during the Spanish–American War of 1898, where he served with the "Rough Riders." Six years later he traveled to Asia to report on the Russo-Japanese War for Scribner's magazine. Though he occasionally wrote for periodicals, after 1904, Fox dedicated much of his attention to fiction. The Little Shepherd of Kingdom Come (published in 1903) and The Trail of the Lonesome Pine (published in 1908) are arguably his most well known and successful works, entering the New York Times top ten list of bestselling novels for 1903, 1904, 1908, and 1909 respectively. In The Trail of the Lonesome Pine, the character Devil Judd Tolliver was based on the real life of "Devil John" Wesley Wright, the sheriff of Wise County, Virginia. Many of his works reflected the naturalist style, his childhood in Kentucky's Bluegrass region, and his life among the coal miners of Big Stone Gap, Virginia. Many of his novels were historical romances or period dramas set in that region.