Foundational Statistics for Social Science Research

Are you in a field focused on human behavior, like psychology or education, and need to make sense of complex research data? This course provides the foundational statistical knowledge required to critically evaluate information and draw reliable conclusions. By the end of this program, you will move beyond simply reading results to confidently applying key statistical concepts—from descriptive summaries to inferential tests—to your own area of study or practice. What you'll learn: * Understand core statistical terminology, variables, and measurement scales used in social science research. * Apply descriptive statistics to summarize and interpret data distributions effectively. * Practice correlation analysis to measure the strength and direction of relationships between variables. * Configure and interpret common inferential tests, including t-tests and analysis of variance (ANOVA), to test hypotheses. * Analyze statistical significance and effect sizes to accurately assess the real-world importance of research findings. The course begins by establishing essential terminology and principles, then guides you step-by-step through calculating and interpreting descriptive measures, correlation coefficients, and foundational inferential techniques. This course is specifically designed for beginners, including students and professionals in fields such as psychology, education, conflict resolution, and speech therapy. No prior statistical knowledge or advanced mathematics is required. Start building your essential data literacy skills today.