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Titlebook: Advanced Statistics in Criminology and Criminal Justice; David Weisburd,David B. Wilson,Chester Britt Textbook 2022Latest edition Springer

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發(fā)表于 2025-3-21 16:33:24 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advanced Statistics in Criminology and Criminal Justice
影響因子2023David Weisburd,David B. Wilson,Chester Britt
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發(fā)行地址Written for use as a classroom text and suitable as a reference for researchers.Emphasizes and illustrates how different types of criminal justice research influence the outcome of statistical results
圖書封面Titlebook: Advanced Statistics in Criminology and Criminal Justice;  David Weisburd,David B. Wilson,Chester Britt Textbook 2022Latest edition Springer
影響因子.This book provides the student, researcher or practitioner with the tools to understand many of the most commonly used advanced statistical analysis tools in criminology and criminal justice, and also to apply them to research problems.??..The volume is structured around two main topics, giving the user flexibility to find what they need quickly. The first is “the general linear model” which is the main analytic approach used to understand what influences outcomes in crime and justice.? It presents a series of approaches from OLS multivariate regression, through logistic regression and multi-nomial regression, hierarchical regression, to count regression. The volume also examines alternative methods for estimating unbiased outcomes that are becoming more common in criminology and criminal justice, including analyses of randomized experiments and propensity score matching. It also examines the problem of statistical power, and how it can be used to better designstudies. Finally, it discusses meta analysis, which is used to summarize studies; and geographic statistical analysis, which allows us to take into account the ways in which geographies may influence our statistical conclusi
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David Weisburd,David B. Wilson,Chester BrittWritten for use as a classroom text and suitable as a reference for researchers.Emphasizes and illustrates how different types of criminal justice research influence the outcome of statistical results
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978-3-030-67740-4Springer Nature Switzerland AG 2022
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https://doi.org/10.1057/9780230370937l, there are several independent variables and a single dependent variable. These independent variables may be multivalued variables ranging from a binary or dichotomous variable, an ordinal discrete variable, or discrete or continuously scaled interval- and ratio-level variables. Such a model consi
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A New Approach to Sequencing at Calteches, OLS regression is likely to predict values that are greater than 1 and less than 0 and thus outside the observed distribution of .. The logistic curve provides a solution to predictions beyond the observed distribution. Is this case, the outcome variable is transformed into the natural logarithm
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A New Approach to Sequencing at Caltechvariable that has more than two categories. When the dependent variable has three or more categories, we can use the .. The multinomial logistic regression model allows for the computation of odds ratios that indicate the effects of the independent variables on the relative likelihood of the differe
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