The Analysis of Covariance and Alternatives
Statistical Methods for Experiments, Quasi-Experiments, and Single-Case Studies
von Bradley HuitemaA complete guide to cutting-edge techniques and best practicesfor applying covariance analysis methods
The Second Edition of 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 twoparametric and nonparametric monotone analyses as well asapproaches based on the robust general linear model and reversedordinal logistic regression. Four groundbreaking chapters onsingle-case designs introduce powerful new analyses for simple andcomplex single-case experiments. This Second Edition alsofeatures coverage of advanced methods including:
* Simple and multiple analysis of covariance using both theFisher approach and the general linear model approach
* Methods to manage assumption departures, includingheterogeneous slopes, nonlinear functions, dichotomous dependentvariables, and covariates 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, Analysis of Covariance and Alternatives is a suitable book forbehavioral and medical scineces courses on design of experimentsand regression and the upper-undergraduate and graduate levels. Italso serves as an authoritative reference work for researchers andacademics in the fields of medicine, clinical trials, epidemiology, public health, sociology, and engineering.
The Second Edition of 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 twoparametric and nonparametric monotone analyses as well asapproaches based on the robust general linear model and reversedordinal logistic regression. Four groundbreaking chapters onsingle-case designs introduce powerful new analyses for simple andcomplex single-case experiments. This Second Edition alsofeatures coverage of advanced methods including:
* Simple and multiple analysis of covariance using both theFisher approach and the general linear model approach
* Methods to manage assumption departures, includingheterogeneous slopes, nonlinear functions, dichotomous dependentvariables, and covariates 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, Analysis of Covariance and Alternatives is a suitable book forbehavioral and medical scineces courses on design of experimentsand regression and the upper-undergraduate and graduate levels. Italso serves as an authoritative reference work for researchers andacademics in the fields of medicine, clinical trials, epidemiology, public health, sociology, and engineering.
