05014nam 22006255 450 991101865820332120250725130241.03-031-59667-610.1007/978-3-031-59667-4(MiAaPQ)EBC32235209(Au-PeEL)EBL32235209(CKB)39713300200041(DE-He213)978-3-031-59667-4(OCoLC)1544971804(EXLCZ)993971330020004120250725d2025 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierPermutation Statistical Methods for Criminology and Criminal Justice /by Kenneth J. Berry, Janis E. Johnston, Michael A. Long, Paul Stretesky, Michael J. Lynch1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (1057 pages)Society, Environment and Statistics,2948-27713-031-59666-8 Introduction -- Permutation Statistical Methods -- Central Tendency and Variability -- One-Sample Tests -- Two-Sample Tests -- Matched-Pairs Tests -- Completely-Randomized Designs -- Randomized-Blocks Designs -- Correlation and Association -- Goodness of Fit and Contingency.This book takes a unique approach to explaining permutation statistical methods for advanced undergraduate students, graduate students, faculty, researchers, and other professionals interested in the areas of criminology or criminal justice. The book integrates permutation statistical methods with a wide range of classical statistical methods. It opens with a comparison of two models of statistical inference: the classical population model espoused by J. Neyman and E. Pearson and the permutation model first introduced by R.A. Fisher and E.J.G. Pitman. Numerous comparisons of permutation and classical statistical methods are illustrated with examples from criminology and criminal justice and supplemented with a variety of R scripts for ease of computation. The text follows the general outline of an introductory textbook in statistics with chapters on central tendency, variability, one-sample tests, two-sample tests, matched-pairs tests, completely-randomized analysis of variance, randomized-blocks analysis of variance, simple linear regression and correlation, and the analysis of goodness of fit and contingency. Unlike classical statistical methods, permutation statistical methods do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity, depend solely on the observed data, and do not require random sampling, making permutation statistical methods ideal for analyzing criminology and criminal justice databases. Permutation methods are relatively new in that it took modern computing power to make them available to those working in criminology and criminal justice research. The book contains detailed examples of permutation analyses. Each analysis is paired with a conventional analysis; for example, a permutation test of the difference between experimental and control groups is contrasted with Student's two-sample $t$ test. An added feature is the inclusion of multiple historical notes on the origin and development of both parametric and conventional tests and measures. Designed for an audience with a basic statistical background and a strong interest in parametric and non-parametric statistics, the book can easily serve as a textbook for undergraduate and graduate students in criminology, criminal justice, or sociology, as well as serving as a research source for faculty, researchers, and other professionals in the area of criminology. No statistical training beyond a first course in statistics is required, but some knowledge of, or interest in, criminology or criminal justice is assumed. .Society, Environment and Statistics,2948-2771StatisticsCriminologySocial sciencesStatistical methodsStatistical Theory and MethodsCriminologyStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public PolicyStatistics.Criminology.Social sciencesStatistical methods.Statistical Theory and Methods.Criminology.Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.364.021Berry Kenneth J148872Johnston Janis E721657Long Michael A245327Stretesky Paul1836977Lynch Michael J787004MiAaPQMiAaPQMiAaPQBOOK9911018658203321Permutation Statistical Methods for Criminology and Criminal Justice4415200UNINA