review: andrew bennett & jeffrey t. checkel (eds.) (2015). process tracing: from metaphor to analytic tool
Clicks: 635
ID: 211955
2015
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
2.1
/100
635 views
7 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #18 of 729 articles by views in molecules
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 729 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
In this review, I argue that this textbook edited by BENNETT and CHECKEL is exceptionally valuable in at least four aspects. First, with regards to form, the editors provide a paragon of how an edited volume should look: well-connected articles "speak to" and build on each other. The contributors refer to and grapple with the theoretical framework of the editors who, in turn, give heed to the conclusions of the contributors. Second, the book is packed with examples from research practice. These are not only named but thoroughly discussed and evaluated for their methodological potential in all chapters. Third, the book aims at improving and popularizing process tracing, but does not shy away from systematically considering the potential weaknesses of the approach. Fourth, the book combines and bridges various approaches to (mostly) qualitative methods and still manages to provide abstract and easily accessible standards for making "good" process tracing. As such, it is a must-read for scholars working with qualitative methods. However, BENNETT and CHECKEL struggle with fulfilling their promise of bridging positivist and interpretive approaches, for while they do indeed take the latter into account, their general research framework remains largely unchanged by these considerations. On these grounds, I argue that, especially for scholars in the positivist camp, the book can function as a "how-to" guide for designing and implementing research. Although this may not apply equally to interpretive researchers, the book is still a treasure chest for them, providing countless conceptual clarifications and potential pitfalls of process tracing practice.
URN: http://nbn-resolving.de/urn:nbn:de:0114-fqs1503187
| Reference Key |
anderl2015forum:review:
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Felix Anderl |
| Journal | molecules |
| Year | 2015 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.