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Applied Logistic Regression Analysis
The focus in this Second Edition is again on logistic regression models for individual level data, but aggregate or grouped data are also considered. The book includes detailed discussions of goodness of fit, indices of predictive efficiency, and standardized logistic regression coefficients, and examples using SAS and SPSS are included. More detailed consideration of grouped as opposed to case-wise data throughout the book Updated discussion of the properties and appropriate use of goodness of fit measures, R-square analogues, and indices of predictive efficiency Discussion of the misuse of odds ratios to represent risk ratios, and of over-dispersion and under-dispersion for grouped data Updated coverage of unordered and ordered polytomous logistic regression models.
Logistic Regression
Logistic Regression is designed for readers who have a background in statistics at least up to multiple linear regression, who want to analyze dichotomous, nominal, and ordinal dependent variables cross-sectionally and longitudinally.
The Sociology of Deviance
This timely second edition remains essentially the same in overall organization and chapter layout and titles. New to the book is updated data and facts from empirical research and government and agency reports. Some information in some chapters was retained from the first edition if it was deemed still relevant and interesting. The definition of deviance has been modified to be more in line with standard understandings of the term which frequently describe deviance as violations of social norms. The word “differences” remains part of the definition and implies differences in attitudes, lifestyles, values, and choices that exist among individuals and groups in society. The concept of dev...
Longitudinal Research
This accessible, interdisciplinary and non-technical approach to longitudinal research identifies ways in which longitudinal research crosses the barriers between disciplines. The author covers a wide variety of subjects ranging from the differences between longitudinal and cross-sectional research in terms of consistency and accuracy of results to issues that may affect the quality of longitudinal data.
Multiple Problem Youth
Multiple Problem Youth addresses the complex connections among drug abuse, delinquency, and mental health problems as they apply to adolescents and young adults. Interrelationships in this area exist in a vast variety of ways, further complicated by extraneous factors such as demographics, sex, and time. The authors incorporate these factors and analyze the correlations among substance use, delinquency, and mental health problems, as well as discussing developmental patterns and reviewing theories of deviant behavior.
Applied Logistic Regression Analysis
Emphasizing the parallels between linear and logistic regression, Scott Menard explores logistic regression analysis and demonstrates its usefulness in analyzing dichotomous, polytomous nominal, and polytomous ordinal dependent variables. The book is aimed at readers with a background in bivariate and multiple linear regression.
Saving Children from a Life of Crime
A great deal is known about the early risk factors for offending. High impulsiveness, low attainment, criminal parents, parental conflict, and growing up in a deprived, high-crime neighborhood are among the most important factors. There is also a growing body of high quality scientific evidence on the effectiveness of early prevention programs designed to prevent children from embarking on a life of crime. The authors review the data on early causes of offending and what works best to prevent it. Preschool intellectual enrichment, child skills training, parent management training, and home visiting programs are among the most effective early prevention programs. They also outline a policy strategy early prevention. This is based on current research that lays the groundwork for a comprehensive national prevention strategy to save children from a life of crime.
Developmental Theories Of Crime And Delinquency
In Developmental Theories of Crime and Delinquency, Terence P. Thornberry and his contributors show that criminal behavior is not a static human attribute, but ebbs and flows over the life course of the individual. Criminal behavior tends to follow a distinct psychological pattern. It is relatively uncommon during childhood, is initiated by most offenders during adolescence, flourishes during late adolescence and early childhood, and usually diminishes or disappears by the mid-twenties. This pattern is not characteristic of all people--some never commit crimes and others become career criminals--but it is a general description of the developmental pattern of criminal offenders. This pattern ...
Delinquency and Crime
Why is crime persistent over generations, within families and within certain individuals? Is crime the manifestation of an inherited latent trait or the result of a failure of socialization and norm-setting processes? Why do youths commit crimes? Delinquency and Crime contains essays by nine leading criminologists that seek to answer these and other questions by describing current theories of crime and the research evidence that supports them. The authors' views on crime causation go beyond traditional criminological theories of strain, cultural deviance, social control, differential association and social learning to present emerging and integrated models of the origins of crime, including antisocial peer socialization, social development, interactional theory, behavior genetics, and community determinants. Each essay explores the practical implication of the authors' theoretical work for crime prevention and control.
NCJRS Catalog
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