Time Counts (eBook)

Quantitative Analysis for Historical Social Science

Ira Katznelson, Gregory Wawro (Autoren)

eBook Download: PDF

2022
336 Seiten
Princeton University Press (Verlag)
978-0-691-18946-8 (ISBN)

Infos

How to study the past using dataQuantitative Analysis for Historical Social Science advances historical research in the social sciences by bridging the divide between qualitative and quantitative analysis. Gregory Wawro and Ira Katznelson argue for an expansion of the standard quantitative methodological toolkit with a set of innovative approaches that better capture nuances missed by more commonly used statistical methods. Demonstrating how to employ such promising tools, Wawro and Katznelson address the criticisms made by prominent historians and historically oriented social scientists regarding the shortcomings of mainstream quantitative approaches for studying the past.Traditional statistical methods have been inadequate in addressing temporality, periodicity, specificity, and context-features central to good historical analysis. To address these shortcomings, Wawro and Katznelson argue for the application of alternative approaches that are particularly well-suited to incorporating these features in empirical investigations. The authors demonstrate the advantages of these techniques with replications of research that locate structural breaks and uncover temporal evolution. They develop new practices for testing claims about path dependence in time-series data, and they discuss the promise and perils of using historical approaches to enhance causal inference.Opening a dialogue among traditional qualitative scholars and applied quantitative social scientists focusing on history, Quantitative Analysis for Historical Social Science illustrates powerful ways to move historical social science research forward.

Produkt-Details

• Erscheint lt. Verlag: 3.5.2022
• Zusatzinfo: 20 b/w illus. 4 tables.
• Sprache: englisch
• Themenwelt: Geisteswissenschaften ► Geschichte
• Themenwelt: Sozialwissenschaften ► Politik / Verwaltung ► Politische Theorie
• Themenwelt: Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung
• Schlagworte: Additive model • Analysis • autocorrelation • Autoregressive model • Bayes factor • Bayesian • Bayesian inference • Bayesian Statistics • Bias of an estimator • causal inference • Causality • causal model • Chow Test • coefficient • Complexity • confounding • Covariate • Curse of Dimensionality • Dummy variable (statistics) • Dynamic Programming • Economics • Endogeneity (econometrics) • Epistemological pluralism • Equation • Error Correction Model • Error Term • Essay • estimation • Estimator • Event (probability theory) • Explanation • Externality • False precision • F-Test • generalized additive model • Generalized Linear Model • Gibbs Sampling • Granger Causality • Historical Institutionalism • Historical Method • History • Holism • Ignorability • Impossibility • inference • Initial Condition • Innovation • Institution • instrumental variable • intentionality • Intention-to-treat analysis • internal validity • Latent Variable • Literature • Lock-in (decision-making) • Markov Chain • Markov model • Markov process • Meta-analysis • natural experiment • negative feedback • Nonparametric regression • Observation • observational study • Opportunism • Optimal Matching • Ordinary Least Squares • Parameter • Parameter (computer programming) • path dependence • Periodization • Point Estimation • Political Science • Polynomial Regression • posterior probability • Pragmatism • Probability • Process analysis • Profession • Propensity Score Matching • quantitative research • Randomization • Regression Analysis • regression discontinuity design • result • Semiparametric Regression • smoothing • Social Science • Sophistication • Spline (mathematics) • star model • State of Exception • statistical significance • Superiority (short story) • temporality • Thomas Kuhn • Time Series • Trade-off • Variable (computer science) • Variable (mathematics)
• ISBN-10: 0-691-18946-3 / 0691189463
• ISBN-13: 978-0-691-18946-8 / 9780691189468