Muutke küpsiste eelistusi

Designing Research in the Social Sciences [Kõva köide]

  • Formaat: Hardback, 200 pages, kõrgus x laius: 242x170 mm, kaal: 470 g
  • Ilmumisaeg: 18-Dec-2012
  • Kirjastus: Sage Publications Ltd
  • ISBN-10: 1849205000
  • ISBN-13: 9781849205009
Teised raamatud teemal:
  • Formaat: Hardback, 200 pages, kõrgus x laius: 242x170 mm, kaal: 470 g
  • Ilmumisaeg: 18-Dec-2012
  • Kirjastus: Sage Publications Ltd
  • ISBN-10: 1849205000
  • ISBN-13: 9781849205009
Teised raamatud teemal:
This innovative research design text will help you make informed choices when carrying out your research project. Covering both qualitative and quantitative approaches, and with examples drawn from a wide range of social science disciplines, the authors explain what is at stake when choosing a research design, and discuss the trade-offs that researchers have to make when considering issues such as: - causality



- categories and classification



- heterogeneity



- interdependence



- time









This book will appeal to students and researchers looking for an in-depth understanding of research design issues to help them design their projects in a thoughtful and responsible way.

Arvustused

This volume takes seriously the goal of unifying qualitative and quantitative methods, providing a coherent framework for understanding research design in the social science. Highly recommended. John Gerring Professor of Political Science at Boston University, where he teaches courses on methodology and comparative politics





Magetti, Gilardi, and Radaelli provide scholars with a forum to reflect on the thinking and doing of social research. The authors deftly tackle the major issues related to the construction of causal explanations. An excellent primer to research design and analysis, that will cause seasoned readers to rethink core assumptions of research design and methods. Melissa Wooten Department of Sociology, University of Massachusetts Amherst

About the authors vii
Acknowledgements viii
Foreword ix
1 Social sciences and research design
1(20)
2 Conceptual analysis
21(21)
3 Causal analysis
42(27)
4 Statistical research designs for causal inference
69(24)
5 Temporality
93(22)
6 Heterogeneity
115(23)
7 Interdependence
138(23)
8 Conclusions: Connecting the dots
161(6)
References 167(12)
Index 179