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Multiple Regression
Multiple regression is at the heart of social science data analysis, because it deals with explanations and correlations. This book is a complete introduction to this statistical method. This textbook is designed for the first social statistics course a student takes and, unlike other titles aimed at a higher level, has been specifically written with the undergraduate student in mind.
Fixed Effects Regression Models
This book demonstrates how to estimate and interpret fixed-effects models in a variety of different modeling contexts: linear models, logistic models, Poisson models, Cox regression models, and structural equation models. Both advantages and disadvantages of fixed-effects models will be considered, along with detailed comparisons with random-effects models. Written at a level appropriate for anyone who has taken a year of statistics, the book is appropriate as a supplement for graduate courses in regression or linear regression as well as an aid to researchers who have repeated measures or cross-sectional data.
Event History Analysis
Drawing on recent "event history" analytical methods from biostatistics, engineering, and sociology, this clear and comprehensive monograph explains how longitudinal data can be used to study the causes of deaths, crimes, wars, and many other human events. Allison shows why ordinary multiple regression is not suited to analyze event history data, and demonstrates how innovative regression - like methods can overcome this problem. He then discusses the particular new methods that social scientists should find useful.
Missing Data
Sooner or later anyone who does statistical analysis runs into problems with missing data in which information for some variables is missing for some cases. Why is this a problem? Because most statistical methods presume that every case has information on all the variables to be included in the analysis. Using numerous examples and practical tips, this book offers a nontechnical explanation of the standard methods for missing data (such as listwise or casewise deletion) as well as two newer (and, better) methods, maximum likelihood and multiple imputation. Anyone who has been relying on ad-hoc methods that are statistically inefficient or biased will find this book a welcome and accessible solution to their problems with handling missing data.
What Paul Meant
“If you think you knew Paul, get ready to have all sorts of cherished preconceptions exhilaratingly stripped away. If you've ever been vaguely curious, there is no finer introduction.” (Los Angeles Times) Look out for a new book from Garry Wills, What The Qur'an Meant, coming fall 2017. In his New York Times bestsellers What Jesus Meant and What the Gospels Meant, Garry Wills offers fresh and incisive readings of Jesus' teachings and the four gospels. Here Wills turns to Paul the Apostle, whose writings have provoked controversy throughout Christian history. Upending many common assumptions, Wills argues eloquently that Paul’s teachings are not opposed to Jesus' message. Rather, the best way to know Jesus is to discover Paul. In this stimulating and masterly analysis, Wills illuminates how Paul, writing on the road and in the heat of the moment, and often in the midst of controversy, galvanized a movement and offers us the best reflection of those early times.
Fixed Effects Regression Methods for Longitudinal Data Using SAS
Fixed Effects Regression Methods for Longitudinal Data Using SAS, written by Paul Allison, is an invaluable resource for all researchers interested in adding fixed effects regression methods to their tool kit of statistical techniques. First introduced by economists, fixed effects methods are gaining widespread use throughout the social sciences. Designed to eliminate major biases from regression models with multiple observations (usually longitudinal) for each subject (usually a person), fixed effects methods essentially offer control for all stable characteristics of the subjects, even characteristics that are difficult or impossible to measure. This straightforward and thorough text shows...
Real Murders
'Harris draws the guilty and the innocent into an engrossing tale while inventing a heroine as capable and potentially complex as P. D. James's Cordelia Gray' (Publishers Weekly) #1 New York Times and Sunday Times bestselling author Charlaine Harris introduces a librarian whose bookish bent for murder gets her involved in a real-life killing spree . . . Lawrenceton, Georgia, may be a growing suburb of Atlanta, but it's still a small town at heart. Librarian Aurora 'Roe' Teagarden grew up there and knows more than enough about her fellow townsfolk, including which ones share her interest in the darker side of human nature . . . With those fellow crime buffs, Roe belongs to a club called Real ...
The Double Life of Paul De Man
Describes the life of the Yale University professor behind the deconstruction movement, who at the time of his death was one of the most influential literary critics in America but was later revealed to be a Nazi collaborator and anti-Semite.
Logistic Regression Using SAS
Informal and nontechnical, this book both explains the theory behind logistic regression, and looks at all the practical details involved in its implementation using SAS. Includes several real-world examples in full detail.
Paul and the Synoptic Jesus Tradition
This study compares the Jesus traditions in Paul's genuine letters to the synoptic Jesus tradition. The aim is to identify parallels between Jesus traditions in the Pauline letters and synoptic Gospels and to determine whether the wording of the Pauline Jesus traditions is closer to any particular synoptic Gospel or Q. Paul's quotes of words of the Lord (1 Cor 7:10–11; 9:14; 11:23–25) as well as possible allusions to Jesus traditions in Paul's letters are investigated and compared to similar synoptic sayings of Jesus. Allusions to Jesus traditions in 1 Thessalonians and Romans are revisited. Special attention is paid to possible allusions in Galatians. The findings show that Paul does ma...
