Richard S. Bogartz is professor of psychology at the University of Massachusetts, Amherst. He has taught at the University of Illinois, the University of Iowa, and received his PhD at UCLA. He is the author of numerous articles in a variety of journals, including Journal of Experimental Psychology, Journal of Mathematical Psychology, Journal of Experimental Child Psychology, Psychological Bulletin, Perception & Psychophysics, and others.

• Preliminaries What We Do in an ANOVA Some Geometry of the ANOVA Two Factor Designs and Three Factor Designs Computations and Display Nested Factors Random Effects Models Repeated Measurement Designs Contrasting Effects Trend Tests Multiple Comparisons Regression, ANOVA, and the General Linear Model Some Fine Points Some Advanced Applications Nonorthogonal Designs Experimental Design Appendix 1: Random Variables and Their Expectations Appendix 2: Vectors and Matrices Appendix 3: Statistical Tables and Charts References Index

Richard S. Bogartz is professor of psychology at the University of Massachusetts, Amherst. He has taught at the University of Illinois, the University of Iowa, and received his PhD at UCLA. He is the author of numerous articles in a variety of journals, including Journal of Experimental Psychology, Journal of Mathematical Psychology, Journal of Experimental Child Psychology, Psychological Bulletin, Perception & Psychophysics, and others.

• Preliminaries What We Do in an ANOVA Some Geometry of the ANOVA Two Factor Designs and Three Factor Designs Computations and Display Nested Factors Random Effects Models Repeated Measurement Designs Contrasting Effects Trend Tests Multiple Comparisons Regression, ANOVA, and the General Linear Model Some Fine Points Some Advanced Applications Nonorthogonal Designs Experimental Design Appendix 1: Random Variables and Their Expectations Appendix 2: Vectors and Matrices Appendix 3: Statistical Tables and Charts References Index

Richard S. Bogartz is professor of psychology at the University of Massachusetts, Amherst. He has taught at the University of Illinois, the University of Iowa, and received his PhD at UCLA. He is the author of numerous articles in a variety of journals, including Journal of Experimental Psychology, Journal of Mathematical Psychology, Journal of Experimental Child Psychology, Psychological Bulletin, Perception & Psychophysics, and others.

• Preliminaries What We Do in an ANOVA Some Geometry of the ANOVA Two Factor Designs and Three Factor Designs Computations and Display Nested Factors Random Effects Models Repeated Measurement Designs Contrasting Effects Trend Tests Multiple Comparisons Regression, ANOVA, and the General Linear Model Some Fine Points Some Advanced Applications Nonorthogonal Designs Experimental Design Appendix 1: Random Variables and Their Expectations Appendix 2: Vectors and Matrices Appendix 3: Statistical Tables and Charts References Index