PS 601
Advanced Statistics II
The general linear model is used to analyze some common experimental designs used in psychological research. Results are presented using the Analysis of Variance technique developed in PS600. Topics include qualitative and quantitative variables, factorial designs, orthogonal contrasts, multiple comparisons, randomized block and Latin square designs, split plot designs and more general models and methods. An integral part of the course is the use of statistical computing packages (e.g., SPSS).
Prerequisites: PS600
The general linear model is used to analyze some common experimental designs used in psychological research. Results are presented using the Analysis of Variance technique developed in PS600. Topics include qualitative and quantitative variables, factorial designs, orthogonal contrasts, multiple comparisons, randomized block and Latin square designs, split plot designs and more general models and methods. An integral part of the course is the use of statistical computing packages (e.g., SPSS).
Prerequisites: PS600
The general linear model is used to analyze some common experimental designs used in psychological research. Results are presented using the Analysis of Variance technique developed in PS600. Topics include qualitative and quantitative variables, factorial designs, orthogonal contrasts, multiple comparisons, randomized block and Latin square designs, split plot designs and more general models and methods. An integral part of the course is the use of statistical computing packages (e.g., SPSS).
Prerequisites: PS600
