LDR70310 - Advanced Statistics Ia

(2 units)

The course will cover the necessary statistical techniques employed in contemporary behavioral science research and program evaluation, in order to be able to: (a) analyze research data; (b) understand and critically review statistical findings in empirical papers; (c) present empirical results to other scholars; and (d) run statistical analyses using SPSS. Through the Advanced Statistics I class, students develop an understanding of the philosophy of science and scientific method; descriptive and inferential statistics; univariate and multivariate analysis of variance and co-variance (one-way and factorial); regression techniques; mediation/moderation; power calculation and corrections for multiple comparisons. Through the Advanced Statistics I Lab, students become familiar with the computer hardware/operating environments and statistical software packages. They acquire the ability to conduct statistical analyses and problem solving with data through exercises in: hypothesis testing; testing statistical assumptions; examining data distributions and standard scores; comparing means; introduction to ANOVA Design; introduction to correlation analysis; simple and multiple regression analysis; mediation and moderation analysis; and reliability analysis.