ABSTRACT

Experiment Design and Statistical Methods introduces the concepts, principles, and techniques for carrying out a practical research project either in real world settings or laboratories - relevant to studies in psychology, education, life sciences, social sciences, medicine, and occupational and management research.
The text covers:

  • repeated measures
  • unbalanced and non-randomized experiments and surveys
  • choice of design
  • adjustment for confounding variables
  • model building and partition of variance
  • covariance
  • multiple regression
    Experiment Design and Statistical Methods contains a unique extension of the Venn diagram for understanding non-orthogonal design, and it includes exercises for developing the reader's confidence and competence. The book also examines advanced techniques for users of computer packages or data analysis, such as Minitab, SPSS, SAS, SuperANOVA, Statistica, BMPD, SYSTAT, Genstat, and GLIM.
  • part 1|1 pages

    Statistical Design and Analysis for Basic Experiments

    chapter 1|3 pages

    Introduction

    chapter 2|11 pages

    Introduction to four basic designs

    chapter 3|9 pages

    Overview of concepts and techniques

    chapter 4|12 pages

    Single-factor independent groups design

    chapter 5|12 pages

    Single-factor repeated measures design

    chapter 6|18 pages

    Two-factor independent groups design

    chapter 8|8 pages

    Contrasts and comparisons among means

    chapter 9|15 pages

    Power and sensitivity in design decisions

    part 2|2 pages

    Unbalanced, Non-Randomized and Survey Designs

    chapter 10|29 pages

    Unbalanced and confounded designs

    chapter 11|13 pages

    Multiple regression

    part 3|2 pages

    Analysis for Further Experiment Designs

    chapter 13|26 pages

    Three-factor designs