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Analytical Methods for Social Research

This series delves into the empirical and formal methods crucial for social science research. It offers deep insights into the theoretical underpinnings of analytical techniques and their practical application in research. Volumes cover a broad scope across disciplines, as well as specific methodological applications in fields like political science, sociology, and public health. It serves students and researchers seeking advanced knowledge in social sciences and statistics.

Essential Mathematics for Political and Social Research
Analytical Methods for Social Research
Time Series Analysis for the Social Sciences
Spatial Analysis for the Social Sciences
Computational Social Science
Counterfactuals and Causal Inference

Recommended Reading Order

  • Time Series Analysis for the Social Sciences provides accessible, up-to-date instruction and examples of the core methods in time series econometrics. The book covers ARIMA models, time series regression, unit-root diagnosis, vector autoregressive models, error-correction models, intervention models, fractional integration, ARCH models, structural breaks, and forecasting.

    Time Series Analysis for the Social Sciences
  • The book offers a thorough introduction to the mathematical principles essential for contemporary social scientists. It emphasizes the application of mathematical concepts to social science research, providing tools and techniques that enhance analytical skills. By bridging the gap between mathematics and social science, it equips readers with the necessary knowledge to effectively interpret data and engage in quantitative analysis.

    Essential Mathematics for Political and Social Research