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This is a book that effectively integrates topics of research design, particularly focused on issues of measurement, causality, and appropriate questions and comparisons, with a reasonably rigorous, formal, and technical introduction to foundational concepts in probability and statistics and the logic and application of the most commonly used statistical tests in the social sciences, primarily to advanced undergraduate social science (particularly economics) majors but could be used as an introductory text for social science or public policy graduate students, pa
A soup to nuts introduction to statistics for the social researcher grounded in theory, real-life application, and critical analysis.
This book emphasizes research design as the cornerstone of the research enterprise. It ties the standard statistical topics to the elements of research design.
This is an introductory text into statistical methods and analytic thought. It attempts to teach thought processes and analytic reasoning as the basis for statistical methods, and thus, would be most appropriate at the beginning of one's studies.
This is inferential statistical tests book for the social sciences. Compared to the traditional statistical book, this book has more discussion on the design of the test and the validity of the data and test.
The book goes beyond basic statistics and discusses issues surrounding causal inference, which is absent in introductory statistics books. It reviews basic statistical concepts and procedure and introduce challenges of causation that people constantly confront in data analysis.
While there are many statistics and methods textbooks for sale, this one stands out for its clear narrative, excellent examples, integration of Excel into the learning narrative, and appropriate exercises. It's perfect for my MPA and MS students.
Student will realize statistics is a useful tool that is relevant to their tasks in everyday work. This book uses real world stories with publicly accessible data and emphasizes practical skills.
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