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

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

Author(s): Bradley E. Huitema

Published Online: 14 OCT 2011 08:08AM EST

Print ISBN: 9780471748960

Online ISBN: 9781118067475

DOI: 10.1002/9781118067475

Series Editor(s): Walter A. Shewhart, Samuel S. Wilks

About this Book

A complete guide to cutting-edge techniques and best practices for applying covariance analysis methods

The Second Edition of Analysis of Covariance and Alternatives sheds new light on its topic, offering in-depth discussions of underlying assumptions, comprehensive interpretations of results, and comparisons of distinct approaches. The book has been extensively revised and updated to feature an in-depth review of prerequisites and the latest developments in the field.

The author begins with a discussion of essential topics relating to experimental design and analysis, including analysis of variance, multiple regression, effect size measures and newly developed methods of communicating statistical results. Subsequent chapters feature newly added methods for the analysis of experiments with ordered treatments, including two parametric and nonparametric monotone analyses as well as approaches based on the robust general linear model and reversed ordinal logistic regression. Four groundbreaking chapters on single-case designs introduce powerful new analyses for simple and complex single-case experiments. This Second Edition also features coverage of advanced methods including:

  • Simple and multiple analysis of covariance using both the Fisher approach and the general linear model approach
  • Methods to manage assumption departures, including heterogeneous slopes, nonlinear functions, dichotomous dependent variables, and covariates affected by treatments
  • Power analysis and the application of covariance analysis to randomized-block designs, two-factor designs, pre- and post-test designs, and multiple dependent variable designs
  • Measurement error correction and propensity score methods developed for quasi-experiments, observational studies, and uncontrolled clinical trials

Thoroughly updated to reflect the growing nature of the field, Analysis of Covariance and Alternatives is a suitable book for behavioral and medical scineces courses on design of experiments and regression and the upper-undergraduate and graduate levels. It also serves as an authoritative reference work for researchers and academics in the fields of medicine, clinical trials, epidemiology, public health, sociology, and engineering.

Table of contents

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  1. Part I: Basic Experimental Design and Analysis

  2. Part II: Essentials of Regression Analysis

  3. Part III: Essentials of Simple and Multiple ANCOVA

  4. Part IV: Alternatives for Assumption Departures

  5. Part V: Single-Case Designs

  6. Part VI: ANCOVA Extensions

  7. Part VII: Quasi-Experiments and Misconceptions

    1. You have free access to this content
    1. You have free access to this content
    1. You have free access to this content
    1. You have free access to this content

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