Leseprobe
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Designing Social Inquiry
Gary King, Sidney Verba, Robert O. Keohane, et al.
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Sozialwissenschaften, Recht, Wirtschaft / Methoden der empirischen und qualitativen Sozialforschung
Beschreibung
The classic work on qualitative methods in political science
Designing Social Inquiry presents a unified approach to qualitative and quantitative research in political science, showing how the same logic of inference underlies both. This stimulating book discusses issues related to framing research questions, measuring the accuracy of data and the uncertainty of empirical inferences, discovering causal effects, and getting the most out of qualitative research. It addresses topics such as interpretation and inference, comparative case studies, constructing causal theories, dependent and explanatory variables, the limits of random selection, selection bias, and errors in measurement. The book only uses mathematical notation to clarify concepts, and assumes no prior knowledge of mathematics or statistics.
Featuring a new preface by Robert O. Keohane and Gary King, this edition makes an influential work available to new generations of qualitative researchers in the social sciences.
Kundenbewertungen
Endogeneity (econometrics), Special case, Income, Methodology, Psychology, Causality, Ideology, Inference, Research program, Participant observation, Requirement, Selection bias, Estimation, Of Education, Quantity, Variable (mathematics), Theory, Parameter, Multicollinearity, Sampling (statistics), Criticism, Prediction, Uncertainty, Trade-off, Analogy, Political science, Estimator, Social science, Observational error, Calculation, Qualitative research, Probability, Data set, Regression analysis, Conditional independence, Case study, International relations, Small number, Hypothesis, Alternative hypothesis, Inefficiency, Error, Level of analysis, Random variable, Addition, Expected value, Politics, Logic, Principle, Reason, Control variable, Bias of an estimator, Institution, Statistic, Voting, Seminar, Process tracing, Explanation, Statistics, Sidney Verba, Variance, Measurement, Causal inference, Likelihood function, Result, Certainty, Suggestion, Comparative politics, Decision-making, Science