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U**N
Highly recommended for public health research
This is what I used to do my dissertation and I highly recommend this to researchers using qualitative methods; more public health researchers should try QCA.
A**O
Good Approach
I recommend this book because him is an approach which can used in many areas. Despite the first edition, this is amazing!
S**N
Convincing but poorly developed
As a PhD candidate, I heard about 'the Comparative Method' a while ago when I studied methodology. I thought I'd give 'the Qualitative Comparative Analysis (QCA)' a try. I have not yet gotten to later books developed by Ragin, where elaborates on QCA and 'the fuzzy sets' . Thus, this review judges this book by itself.Has it convinced me that 'the Qualitative Comparative Analysis (QCA) is important? It certainly seems so. He spends the first half of the book, as well as the last chapter, defending the QCA method, which is supposed to take strengths from both the qualitative and quantitative methods. That is, while variable-oriented approach is limited by simplified conceptions of cause, the case-oriented approach is limited by its inability to address large numbers of cases. The QCA is supposed to be the middle-road between the two extremes. It is supposed to allow investigators both to digest many cases and to asses causal complexity (p.168).Convinced? I certainly found that Ragin's desire to bridge the qualitative and quantitative approaches was valid. He develops good arguments from Chapter 1 to 5 why the current approaches are inadequate, including combined strategies (which use both qualitative and quantitative methods simultaneously).The evaluation of the QCA is that it holds a lot of promise. Chapter 6 develops basic concepts that help you understand the Boolean algebra, which Ragin exemplifies with simple data. The problem comes with Chapters 7 and 8, which are respectively supposed to describe 'extensions of boolean methods' and 'show real-life examples'. In practice, Ragin rushes through these chapters, throws us into the water, without teaching us how to swim properly. What do I mean? With table 8 onwards, he begins addressing procedures of complex examples. However, he skips many steps, making it untraceable how he develops resulting formulas. If you follow the steps from Chapter 6, you will see that you are encountering a complex situation which was not addressed earlier. Instead of explaining all the steps or a complex example, Ragin simply jumps from the beginning to the "final result". Consider, on p.119, where he throws this formula:(T)(R') = (B + aCd) (AB + CD) = AB + BCDAs a matter of fact, tracing steps outlined in Chapter 6, should lead us to this equation AB + BC +aC, not AB + BCD (verified by two other people).So what is going on? You never find out, because Ragin never addresses the rules of his method in the complex examples. This is sign of a poorly developed methodological structure - whereby the reader cannot follow all the steps. The argument he makes is that the book is too small to describe details. However, he spends a lot of time re-addressing issues with other approaches, as well as showing similar examples, without even once addressing how he works with complex formulas. This is a major weakness which makes this book a poor guide to QCA.That said, the book has its own uses. For very simple examples, this is a good introduction to the QCA. It will enable you to understand the goals of QCA, its strengths and weaknesses. However, for exact procedures, you will have to rely on Ragin's latter publications.
S**T
methodology classic
Ragin's classic on comparative analysis is a must for any sociologist or social scientist more generally. Raing spends his early chapters discussing some problems of current (at the time) methodologies: too unlike reality, too focused on independent effects of variables, not configurational enough. Then, Ragin presents his argument for getting beyond the qualitative/quantitative divide by introducing a different method of mathematical analysis of comparative data: Boolean Algebra. By coding for the presence or absence of certain factors, Boolean Algebra allows for the assessment of collections of variables (like interaction terms, only more complex) and seemingly brings together mathematical precision and qualitative depth.While there are certainly some problems with the book (what on earth are the cases we are considering and how does one select them? How do we determine what are salient "variables" to include in the "truth tables"? etc.), it remains a classic of methodology and the corner stone of the methods that Ragin continues to develop (QCA, Fuzzy Sets, etc.). This is a must for most social scientists. Otherwise, it will make for dry reading.
H**I
Orientador para este tipo de pesquisa
Extremamente útil e atual
P**L
Genial para los fines académicos que fue adquirido
Excelente producto, muy útil para mis clases ya que soy profesor de nivel universitario y con materias variadas.Sus contenidos son claros y la versión digital es súper útil pues lo puedes leer justo en el tamaño de letra que más fácil se acomode a tus necesidades.
G**N
Five Stars
Highly recommended by prof - writing is approachable.
A**I
this book was a life-saver and it did led me to other useful references.
While i was writing my Thesis, I had a gap in my Methodology chapter. I neglected the comparative references, so, this book was a life-saver and it did led me to other useful references.
A**R
Good for historical perspective.
Ragin's first book on QCA and his comparative method is interesting for its introduction of the topic and the ideas presented, but given the age of the work and the books he has published since, it is certainly not the best introduction to the topic, or the most comprehensive (it certainly won't mention any of the other similar techniques such as fsQCA).If one is looking for an introduction to the area and wishes to read Ragin's original ideas, without the potential advertisements for his new fsQCA technique, then this is the book for you. On the other hand, Configurational Comparative Methods: Qualitative Comparative Analysis (QCA) and Related Techniques gives a nice overview of various methods and covers, in a more succinct way, the crisp-set QCA method while making it much clearer and better defined.
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