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Description of  The Analysis of Covariance and Alternatives: Statistical Methods for Experiments, Quasi-Experiments, and Single-Case Studies

A complete guide to cutting-edge techniques and best practicesfor applying covariance analysis methods The Second Edition of The Analysis of Covariance andAlternatives sheds new light on its topic, offering in-depthdiscussions of underlying assumptions, comprehensiveinterpretations of results, and comparisons of distinct approaches.The book has been extensively revised and updated to feature anin-depth review of prerequisites and the latest developments in thefield. The author begins with a discussion of essential topics relatingto experimental design and analysis, including analysis ofvariance, multiple regression, effect size measures, and newlydeveloped methods of communicating statistical results. Subsequentchapters feature newly added methods for the analysis ofexperiments with ordered treatments, including two parametric andnonparametric monotone analyses as well as approaches based on therobust general linear model and reversed ordinal logisticregression. In addition to four groundbreaking chapters onsingle-case designs that introduce powerful new analyses for simpleand complex single-case experiments, this Second Edition alsofeatures coverage of advanced methods including: Simple and multiple analysis of covariance using both the Fisherapproach and the general linear model approach Methods to manage assumption departures, including heterogeneousslopes, nonlinear functions, dichotomous dependent variables, andcovariates affected by treatments Power analysis and the application of covariance analysis torandomized-block designs, two-factor designs, pre- and post-testdesigns, and multiple-dependent variable designs Measurement error correction and propensity score methodsdeveloped for quasi-experiments, observational studies, anduncontrolled clinical trials Thoroughly updated to reflect the growing nature of the field,The Analysis of Covariance and Alternatives, Second Edition is asuitable book for behavioral and medical sciences courses on designof experiments and regression at the upper-undergraduate andgraduate levels. It also serves as an authoritative reference forresearchers and academics in the fields of medicine, clinicaltrials, epidemiology, public health, sociology, andengineering.