Chapter 2. The Need for More Than One Random-Effect Term in a Designed Experiment

  1. N. W. Galwey

Published Online: 11 MAY 2007

DOI: 10.1002/9780470035986.ch2

Introduction to Mixed Modelling: Beyond Regression and Analysis of Variance

Introduction to Mixed Modelling: Beyond Regression and Analysis of Variance

How to Cite

Galwey, N. W. (2006) The Need for More Than One Random-Effect Term in a Designed Experiment, in Introduction to Mixed Modelling: Beyond Regression and Analysis of Variance, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470035986.ch2

Author Information

  1. Genetic Analysis, GlaxoSmithKline, UK

Publication History

  1. Published Online: 11 MAY 2007
  2. Published Print: 22 SEP 2006

ISBN Information

Print ISBN: 9780470014967

Online ISBN: 9780470035986

SEARCH

Keywords:

  • regression analysis random-effect term;
  • split plot design theory;
  • split plot design analysis of variance;
  • natural variation and nuisance variables;
  • split plot design analysis mixed modelling;
  • REML variance component analysis;
  • block effects and random justification

Summary

This chapter contains sections titled:

  • The split plot design: a design with more than one random-effect term

  • The analysis of variance of the split plot design: a random-effect term for the main plots

  • Consequences of failure to recognise the main plots when analysing the split plot design

  • The use of mixed modelling to analyse the split plot design

  • A more conservative alternative to the Wald statistic

  • Justification for regarding block effects as random

  • Testing the assumptions of the analyses: inspection of the residual values

  • Use of R to perform the analyses

  • Summary

  • Exercises