Challenging the Qualitative-Quantitative Divide: Explorations in Case-focused Causal AnalysisThis book challenges the divide between qualitative and quantitative approaches that is now institutionalized within social science. Rather than suggesting the 'mixing' of methods, Challenging the Qualitative-Quantitative Divide provides a thorough interrogation of the arguments and practices characteristic of both sides of the divide, focusing on how well they address the common problems that all social research faces, particularly as regards causal analysis. The authors identify some fundamental weaknesses in both quantitative and qualitative approaches, and explore whether case-focused analysis - for instance, in the form of Qualitative Comparative Analysis, Analytic Induction, Grounded Theorising, or Cluster Analysis - can bridge the gap between the two sides. |
Contents
1 | |
Part I Problems with Quantitative and Qualitative Research | 25 |
1 Whats Wrong with Quantitative Research? | 27 |
The Problem of Inference from Outcomes to Opportunities | 57 |
Grounded Theorizing and the Qualitative Survey | 72 |
The Example of Ethnic Inequalities in Educational Achievement | 96 |
Part II Exploring CaseFocused Approaches to Causal Analysis | 127 |
5 Analytic Induction versus Qualitative Comparative Analysis | 129 |
The Case of Ability and Educational Achievement | 170 |
Comparing Fuzzy Qualitative Comparative Analysis with Fuzzy Cluster Analysis | 208 |
Conclusion | 240 |
Author Index | 255 |
261 | |
Other editions - View all
Challenging the Qualitative-Quantitative Divide: Explorations in Case ... Judith Glaesser,Roger Gomm,Martyn Hammersley No preview available - 2012 |
Common terms and phrases
addiction aggregate aggregate-focused allocation analytic induction and/or assessment assumptions Available at accessed calibration case-focused causal analysis causal factors causal processes causal relations causal system chapter Chicago claims cluster analysis complex concepts concerned configuration contrast correlational Cressey crisp set dataset developed discussion distribution educational achievement effects employed ethnic groups example explained fallacy of composition focus fsQCA fuzzy cluster fuzzy set GCSE Glaesser Glaser and Strauss Hammersley high ability hypothesis inequalities inference investigation involved issue large number Lindesmith London measure meritocracy methodological methods minority ethnic nomothetic occupational ofthe opiates particular population problems produce Qualitative Comparative Analysis qualitative research quantitative quasi-sufficiency Ragin Reay regression relationship relevant Routledge Sage sample selection set theoretic approach small number social class Social Research social science social world Sociology statistical strategies sufficient conditions survey theory tion truth table type of outcome University Press variables Znaniecki