PSGA-7802 – Regression Analysis (3) Syllabus via Blackboard, eRes, or email.
This course introduces simple regression and multiple regression including different types of regression methods, such as linear, polynomial, and logistic.  Also this course introduces students how to transform data to have a linear pattern when the data do not behave linearly; how to detect and remedy multicollinearity among predictors; how to detect and correct heteroscedasticity of residual variance; how to detect and handle outliers; how to choose the most optimal regression equation using stepwise techniques; and finally introduces Analysis of Covariance. Prerequisite, Introductory Statistics

PSGA-7806 – Multidimensional Scaling (3) Syllabus via Blackboard, eRes, or email.
This course introduces basic concepts of scaling in general, including matrix algebra and then Metric and Nonmetric MDS (Multidimensional Scaling); similarity and dissimilarity between MDS and other multivariate data analysis techniques, such as principal components analysis, factor analysis, cluster analysis, and Q-factor or modal profile analysis, and then introduces the PAMS (Profile Analysis via Multidimensional Scaling) model; confirmatory PAMS in terms of Structural Equation Modeling (SEM); longitudinal PAMS; application of PAMS in analysis of psychological data, and finally demonstrates MDS analyses with different approaches (either based on alternating least squares: ALSCAL or majorization method: PROXICAL) in the SPSS statistical package.

PSRU 2000– Statistics (4) Syllabus via Blackboard, eRes, or email.
This course introduces graphical and numerical methods for describing data; central tendency, variability, normal probability curve and its applications; checking normality; hypothesis tests for two group mean differences, comparing application of  t– and z–tests; hypothesis tests for more than two groups in terms of analysis of variance; correlation and linear regression; and finally chi-square tests for categorical data.

PSRU 2010– Research Methods Laboratory (5) Syllabus via Blackboard, eRes, or email.
This course is designed to introduce to students different types of research methods, including survey, experimental/quasi-experimental, and developmental approaches and how to conduct them.  Introducing various research methods is aimed to give students opportunities to exercise appropriate methods for their psychological research. In addition, the course introduces the relationship between Power and Effect Size, contrasting conventional significance tests, such as correlation/regression analysis, t–, z–, or F–tests.  Also, this course informs students how to write research or journal papers according to APA styles.
Prerequisites, Statistics