Full Description
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.
Contents
Part One: Statistical Design and Analysis for Basic Experiments Introduction 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 Multiple Regression Part Three: Analysis for Further Experiment Designs Two-Factor Designs with Between- and Within-Subject Factors Three-Factor Designs Appendices References Index
