Quantitative Methods for the Social Sciences: A Practical Introduction with Examples in SPSS and Stata

Daniel Stockemer is a leading scholar, professor, and author specializing in quantitative political science, public policy analysis, and advanced research methodology. With a deep academic foundation and extensive experience in empirical research, he has earned recognition for his clear and rigorous approach to data-driven social science.

Dr. Stockemer’s work bridges theory and method: he provides both conceptual understanding and practical tools for conducting robust quantitative analyses — including statistical modeling, polling interpretation, election studies, and public opinion research. As a seasoned educator, he equips students and researchers with the skills needed to design surveys, analyze data, and interpret results in a meaningful and scholarly way.

As an author, Daniel Stockemer has produced textbooks and scholarly works that guide both beginners and experienced researchers in political science and related social sciences. His writing is accessible yet authoritative, making complex methodological issues understandable. Whether someone is preparing for an academic thesis or conducting policy-oriented research, his books serve as trusted guides.

Beyond writing, Stockemer is also known for his commitment to academic mentorship and teaching. He supports a generation of students and researchers in mastering research design, statistical analysis, and empirical inquiry — enabling them to contribute credible, evidence-based findings to their fields.

Through his combined expertise in social science theory, quantitative methodology, and empirical research, Daniel Stockemer continues to influence political scientists, public policy analysts, and social researchers worldwide — reinforcing rigorous standards for data-driven scholarship and informed decision-making.