PSY60224 - Advanced Statistics II

(4 units)

Students learn processes and get hands on practice to develop competency in (a) analyzing research data; (b) understanding and critically reviewing statistical findings in empirical papers; (c) presenting empirical results to other scholars; and (d) running statistical analyses using SPSS; with direct guidance and immediate feedback. Students will continue to develop an understanding of the philosophy of science and scientific method; descriptive and inferential statistics; regression techniques; factor analytic techniques; structural equation modelling; mediation/moderation; and power calculation. Through the Advanced Statistics II Lab, students continue to develop their skills around the computer hardware/operating environments and statistical software packages. They build on their ability to conduct statistical analyses and problem solving with data through exercises reviewing concepts and analyses covered in the first part of the sequence (hypothesis testing; testing statistical assumptions; examining data distributions and standard scores; comparing means; ANOVAs; correlation analysis; regression analysis) and increasingly complex models including the following: History of multivariate statistics, Multiple regression and logistic regression, Mediation and moderation, Reliability analysis, Factor analysis, Discriminant analysis, Multiple Analysis of Variance (MANOVA), Multiple Analysis of Covariance MANCOVA, Structural equation modeling (SEM) and path analysis. The course and lab combination provides didactic and hands on practice with acquiring knowledge and skills in line with the following APA discipline-specific knowledge and profession wide competencies for doctoral students.