The Craft of Political Research, 10th Edition by W. Phillips Shively
Requirements: .PDF reader, 3 MB
Overview: The Craft of Political Research is a non-technical introduction to research design and analysis in political science, emphasizing the choices we make when we design a research project and analyze its results. The book’s approach centers on asking an interesting research question, and then designing inquiry into the question so as to eliminate as many alternative explanations as possible.
How do we develop theory, and what constitutes a good research question? How do we develop measures and gather evidence to answer a question? How do we analyze our findings? Students will be introduced to such topics as multidimensional concepts, levels of measurement, validity, reliability, random and non-random measurement error, sampling, case selection, causality, experimental and quasi-experimental design, statistical inference, and regression and correlation analysis. Throughout, the emphasis is on understanding the "back story" of analysis ― why do we measure in a particular way, why do we choose one design as against another, why do we conduct our analysis as we do.
Genre: Non-Fiction > Educational
Download Instructions:
https://dropgalaxy.vip/h2t9474y4j8n
https://uploadrar.com/ewr8boniieap
Requirements: .PDF reader, 3 MB
Overview: The Craft of Political Research is a non-technical introduction to research design and analysis in political science, emphasizing the choices we make when we design a research project and analyze its results. The book’s approach centers on asking an interesting research question, and then designing inquiry into the question so as to eliminate as many alternative explanations as possible.
How do we develop theory, and what constitutes a good research question? How do we develop measures and gather evidence to answer a question? How do we analyze our findings? Students will be introduced to such topics as multidimensional concepts, levels of measurement, validity, reliability, random and non-random measurement error, sampling, case selection, causality, experimental and quasi-experimental design, statistical inference, and regression and correlation analysis. Throughout, the emphasis is on understanding the "back story" of analysis ― why do we measure in a particular way, why do we choose one design as against another, why do we conduct our analysis as we do.
Genre: Non-Fiction > Educational
Download Instructions:
https://dropgalaxy.vip/h2t9474y4j8n
https://uploadrar.com/ewr8boniieap