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:
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.
Table of Contents
Part One: Statistical Design and Analysis for Basic Experiments
Introduction to Four Basic Designs
Overview of Concepts and Techniques
Single-Factor Independent Groups Design
Single-Factor Repeated Measures Design
Two-Factor Independent Groups Design
Single-Factor Independent Groups Design with Covariate
Contrasts and Comparisons among Means
Power and Sensitivity in Design Decisions
Part Two: Unbalanced, Randomised and Survey Designs
Unbalanced and Confounded Designs
Part Three: Analysis for Further Experiment Designs
Two-Factor Designs with Between- and Within-Subject Factors
David R. Boniface, University of Hertfordshire, Hatfield, UK.