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QCA with Ra comprehensive resource /

Dusa, Adrian.

QCA with Ra comprehensive resource /

Record Type:	Electronic resources : Monograph/item
Title/Author:	QCA with Rby Adrian Dusa.
Reminder of title:	a comprehensive resource /
remainder title:	Qualitative comparative analysis with R
Author:	Dusa, Adrian.
Published:	Cham :Springer International Publishing :2019.
Description:	xi, 278 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Mathematical statisticsData processing.
Online resource:	http://dx.doi.org/10.1007/978-3-319-75668-4
ISBN:	9783319756684$q(electronic bk.)

QCA with Ra comprehensive resource /
Dusa, Adrian.

QCA with Ra comprehensive resource /[electronic resource] :Qualitative comparative analysis with Rby Adrian Dusa. - Cham :Springer International Publishing :2019. - xi, 278 p. :ill., digital ;24 cm.

This book is a comprehensive guide to qualitative comparative analysis (QCA) using R. Using Boolean algebra to implement principles of comparison used by scholars engaged in the qualitative study of macro social phenomena, QCA acts as a bridge between the quantitative and the qualitative traditions. The QCA package for R, created by the author, facilitates QCA within a graphical user interface. This book provides the most current information on the latest version of the QCA package, which combines written commands with a cross-platform interface. Beginning with a brief introduction to the concept of QCA, this book moves from theory to calibration, from analysis to factorization, and hits on all the key areas of QCA in between. Chapters one through three are introductory, familiarizing the reader with R, the QCA package, and elementary set theory. The next few chapters introduce important applications of the package beginning with calibration, analysis of necessity, analysis of sufficiency, parameters of fit, negation and factorization, and the construction of Venn diagrams. The book concludes with extensions to the classical package, including temporal applications and panel data. Providing a practical introduction to an increasingly important research tool for the social sciences, this book will be indispensable for students, scholars, and practitioners interested in conducting qualitative research in political science, sociology, business and management, and evaluation studies.

ISBN: 9783319756684$q(electronic bk.)

Standard No.: 10.1007/978-3-319-75668-4doiSubjects--Topical Terms:

183916
Mathematical statistics
--Data processing.

LC Class. No.: QA276.45.R3 / D834 2019

Dewey Class. No.: 519.502855362

QCA with Ra comprehensive resource /
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300 $a xi, 278 p. : $b ill., digital ; $c 24 cm.
520 $a This book is a comprehensive guide to qualitative comparative analysis (QCA) using R. Using Boolean algebra to implement principles of comparison used by scholars engaged in the qualitative study of macro social phenomena, QCA acts as a bridge between the quantitative and the qualitative traditions. The QCA package for R, created by the author, facilitates QCA within a graphical user interface. This book provides the most current information on the latest version of the QCA package, which combines written commands with a cross-platform interface. Beginning with a brief introduction to the concept of QCA, this book moves from theory to calibration, from analysis to factorization, and hits on all the key areas of QCA in between. Chapters one through three are introductory, familiarizing the reader with R, the QCA package, and elementary set theory. The next few chapters introduce important applications of the package beginning with calibration, analysis of necessity, analysis of sufficiency, parameters of fit, negation and factorization, and the construction of Venn diagrams. The book concludes with extensions to the classical package, including temporal applications and panel data. Providing a practical introduction to an increasingly important research tool for the social sciences, this book will be indispensable for students, scholars, and practitioners interested in conducting qualitative research in political science, sociology, business and management, and evaluation studies.
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