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

By Bradley E. Huitema(auth.), Walter A. Shewhart, Samuel S. Wilks(eds.)

A entire advisor to state-of-the-art concepts and top practices for using covariance research methods

The Second version of research of Covariance and Alternatives sheds new mild on its subject, providing in-depth discussions of underlying assumptions, entire interpretations of effects, and comparisons of targeted methods. The e-book has been greatly revised and up to date to add an in-depth assessment of necessities and the most recent advancements within the field.

the writer starts with a dialogue of crucial issues in relation to experimental layout and research, together with research of variance, a number of regression, influence dimension measures and newly constructed tools of speaking statistical effects. next chapters characteristic newly additional equipment for the research of experiments with ordered treatments, together with parametric and nonparametric monotone analyses in addition to methods in accordance with the strong common linear version and reversed ordinal logistic regression. 4 groundbreaking chapters on single-case designs introduce robust new analyses for easy and complicated single-case experiments. This Second Edition additionally beneficial properties insurance of complex tools including:

  • Simple and a number of research of covariance utilizing either the Fisher process and the overall linear version approach
  • Methods to regulate assumption departures, together with heterogeneous slopes, nonlinear features, dichotomous established variables, and covariates stricken by treatments
  • Power research and the applying of covariance research to randomized-block designs, two-factor designs, pre- and post-test designs, and a number of established variable designs
  • Measurement errors correction and propensity ranking tools constructed for quasi-experiments, observational experiences, and out of control scientific trials

completely up to date to mirror the becoming nature of the sector, research of Covariance and choices is an appropriate booklet for behavioral and scientific scineces classes on layout of experiments and regression and the upper-undergraduate and graduate degrees. It additionally serves as an authoritative reference paintings for researchers and teachers within the fields of medication, scientific trials, epidemiology, public healthiness, sociology, and engineering.

Chapter 1 overview of uncomplicated Statistical tools (pages 1–24):
Chapter 2 assessment of easy Correlated Samples Designs and linked Analyses (pages 25–33):
Chapter three ANOVA fundamentals for One?Factor Randomized team, Randomized Block, and Repeated size Designs (pages 35–60):
Chapter four easy Linear Regression (pages 61–83):
Chapter five necessities of a number of Linear Regression (pages 85–120):
Chapter 6 One?Factor research of Covariance (pages 121–157):
Chapter 7 research of Covariance via Linear Regression (pages 159–180):
Chapter eight Assumptions and layout concerns (pages 181–213):
Chapter nine a number of comparability checks and self assurance periods (pages 215–228):
Chapter 10 a number of Covariance research (pages 229–246):
Chapter eleven Johnson–Neyman and Picked?Points suggestions for Heterogeneous Regression (pages 247–283):
Chapter 12 Nonlinear ANCOVA (pages 285–296):
Chapter thirteen Quasi?ANCOVA: while remedies impact Covariates (pages 297–309):
Chapter 14 powerful ANCOVA/Robust Picked issues (pages 311–320):
Chapter 15 ANCOVA for Dichotomous established Variables (pages 321–332):
Chapter sixteen Designs with Ordered remedies and No Covariates (pages 333–354):
Chapter 17 ANCOVA for Ordered remedies Designs (pages 355–364):
Chapter 18 uncomplicated Interrupted Time?Series Designs (pages 365–402):
Chapter 19 Examples of Single?Case AB research (pages 403–432):
Chapter 20 research of Single?Case Reversal Designs (pages 433–452):
Chapter 21 research of Multiple?Baseline Designs (pages 453–471):
Chapter 22 strength Estimation (pages 473–482):
Chapter 23 ANCOVA for Randomized?Block Designs (pages 483–488):
Chapter 24 Two?Factor Designs (pages 489–530):
Chapter 25 Randomized Pretest–Posttest Designs (pages 531–539):
Chapter 26 a number of established Variables (pages 541–564):
Chapter 27 Nonrandomized reports: dimension mistakes Correction (pages 565–573):
Chapter 28 layout and research of Observational reviews (pages 575–597):
Chapter 29 universal ANCOVA Misconceptions (pages 599–608):
Chapter 30 out of control medical Trials (pages 609–617):

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