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. . Language: English