Discusses the most common quantitative research methods needed for research with human subjects. This text covers aspects of experimental design and analysis required for small - and large - scale research both in real world settings and in laboratories.
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.
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