Course Description
This graduate-level course provides a comprehensive survey of scientific research methods and advanced statistical concepts for the social and behavioral sciences. Students learn to apply statistical reasoning to research questions, covering both descriptive and inferential statistics. Key topics include measures of central tendency and dispersion, various correlation techniques, and statistical hypothesis testing using methods such as t-tests and ANOVA. The curriculum also explores more advanced multivariate techniques, including regression analysis and factor analysis. A practical component of the course involves hands-on data analysis using statistical software like SPSS. The overall goal is to equip students with the skills to design and conduct research, analyze data, and interpret findings with a high degree of statistical rigor.