De Aller-Bedste Bøger - over 12 mio. danske og engelske bøger
Levering: 1 - 2 hverdage

Time Counts

- Quantitative Analysis for Historical Social Science

Bag om Time Counts

"[This book] 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." --

Vis mere
  • Sprog:
  • Engelsk
  • ISBN:
  • 9780691155050
  • Indbinding:
  • Paperback
  • Sideantal:
  • 264
  • Udgivet:
  • 3. maj 2022
  • Størrelse:
  • 233x155x17 mm.
  • Vægt:
  • 372 g.
  • Ukendt - mangler pt..
Forlænget returret til d. 31. januar 2025

Normalpris

Abonnementspris

- Rabat på køb af fysiske bøger
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding

Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.

Beskrivelse af Time Counts

"[This book] 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." --

Brugerbedømmelser af Time Counts



Find lignende bøger
Bogen Time Counts findes i følgende kategorier: