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- Statistical Methods for the Social Sciences, Global Edition | Socioloog.nl
Statistical Methods for the Social Sciences, Global Edition | Socioloog.nl
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- Prijs:
- € 69,95
- Auteur:
- Alan Agresti
- Uitgever:
- Pearson
- Type boek:
- Paperback
- Editie:
- 6
- Gewicht:
- 1108 gram
- EAN:
- 9781292449197
- ISBN:
- 9781292449197
- Conditie:
- Nieuw
- Beschrijving:
Statistical Methods for the Social Sciences (6th Global Edition)
Statistical Methods for the Social Sciences, Global Edition (ISBN: 9781292449197), authored by the renowned statistician Alan Agresti, stands as the definitive textbook for undergraduate and graduate students navigating quantitative methodology in behavioral and social science disciplines. Designed explicitly for comprehensive two-semester courses, this foundational volume bridges the gap between complex statistical theory and practical academic application, ensuring that empirical research methods are accessible to learners with minimal mathematical backgrounds.
Key Features and Pedagogical Innovations in the 6th Edition
- Conceptual Framework Over Rote Memorization: Agresti meticulously de-emphasizes intimidating mathematical proofs while strictly avoiding a superficial, recipe-based approach. Students develop genuine statistical literacy by understanding the core logic behind methodologies, rather than merely memorizing formulas.
- Empirical Grounding with Real-World Data: The 6th Global Edition integrates diverse, contemporary datasets from authentic social science research. This empirical foundation allows learners to apply advanced analysis to real-world societal issues, cross-cultural studies, and demographic trends.
- Advanced Software Integration and Interactive Applets: Featuring expanded, step-by-step illustrations of leading statistical software (such as R, SPSS, and Stata), the text leverages state-of-the-art web applets. These digital tools help students visualize abstract statistical concepts, including sampling distributions, confidence intervals, and hypothesis testing.
- Progressive Learning Curve: Assuming zero prior expertise in advanced mathematics or statistics, the pedagogical structure systematically guides the reader from basic descriptive statistics to complex multivariate modeling, regression analysis, and ANOVA.
Target Audience and Academic Relevance
This textbook is tailored for higher education courses within sociology, psychology, political science, criminology, public policy, and anthropology. By fostering critical thinking and data-driven problem-solving skills, Statistical Methods for the Social Sciences equips the next generation of researchers with the quantitative tools necessary to execute rigorous, peer-reviewed empirical studies and data analyses.