Case Studies and Causal Inference: An Integrative Framework by I. Rohlfing

By I. Rohlfing

A dialogue of the case research strategy which develops an integrative framework for causal inference in small-n study. This framework is utilized to investigate layout initiatives reminiscent of case choice and approach tracing. The e-book offers the fundamentals, cutting-edge and arguments for making improvements to the case research procedure and empirical small-n study.

Show description

Read Online or Download Case Studies and Causal Inference: An Integrative Framework PDF

Similar government books

Twentieth-Century German Political Thought

This publication provides the 1st single-volume assessment of twentieth-century German political proposal, emphasizing its range and contested nature. established chronologically, the booklet covers a variety of theorists. issues comprise the character of politics; collective id; the guideline of legislation; the function of the country; the function of political events and the character of parliamentary democracy; country intervention in society and the financial system; and the overseas order.

Implementing E-Government: Report of the Regional Workshop

E-government is now a principal subject matter in details society in any respect degrees: neighborhood, nationwide, local or even worldwide. it may be outlined as a metamorphosis of public-sector inner and exterior relationships via use of data and conversation know-how (ICT) to advertise better responsibility of the govt, elevate potency and cost-effectiveness and create a better constituency participation.

The Dynamics of Conflict in Northern Ireland: Power, Conflict and Emancipation

This e-book offers a finished and unique interpretation of the Northern eire clash. It situates the clash firmly in its Irish, British and wider overseas contexts, displaying how the pointy conflicts of curiosity are generated by way of deep-set buildings and kin inside Britain and eire.

Compelled Compassion: Government Intervention in the Treatment of Critically Ill Newborns

In April 1982, an baby boy was once born in Bloomington, Indiana, with Down syndrome and a faulty, yet surgically correctable, esophagus. His mom and dad refused to consent to surgical procedure or intravenous feeding. The clinic unsuccessfully sought a court docket order to strength remedy, and appeals to raised courts additionally failed.

Additional resources for Case Studies and Causal Inference: An Integrative Framework

Example text

5 The exclusive use of statistical tools for causal inference is what I take as the defining feature of a quantitative case study. It is not the use of numbers and figures that qualifies a case study as quantitative (Maxwell 2010, 476–7) but the exclusive analysis of data with statistical means. 6 In contrast to genuine quantitative case studies, the pool of collected evidence is more diverse and includes primary and secondary sources as well as interviews yielding observations that cannot be made subject to a quantitative analysis (Collier et al.

The remaining four sections examine the relationship between a large property space and a small number of cases. With regard to the latter aspect of the indeterminacy problem, an often recommended but limited means to improve comparisons is an increase in the number of cases. The third instrument pertains to the level of measurement aggregation of the causes and outcome. The level of measurement aggregation asks whether causes and/or the outcome are measured binarily or multicategorically. It is shown that binary measurement is inferentially advantageous because the property space is reduced.

Moreover, I introduce the strategy of layered generalization for the systematic and stepwise expansion of populations in case study research. This strategy transforms actual scope conditions into potential causes in order to discern their relevance for the outcome under scrutiny. Chapter 10 concludes with a larger picture of the previous chapters and highlights the fact that the case study method can contribute to causal inferences on causal effects and mechanisms if it is implemented in a disciplined and reflective manner.

Download PDF sample

Rated 4.64 of 5 – based on 29 votes