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DTSTART;VALUE=DATE:20230619
DTEND;VALUE=DATE:20230701
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SUMMARY:Qualitative Comparative Analysis (QCA): Performing Basic and Advanced Analyses using R
DESCRIPTION:This is a methodological course on set-theoretic methods for the social sciences. While the spectrum of set-theoretic methods is broad\, including techniques such as Mill’s methods or typological theory\, this course primarily focuses on Qualitative Comparative Analysis (QCA). Invented by Charles Ragin [1987]\, this technique is still undergoing modifications\, improvements\, and ramifications with applications in fields as diverse as political science\, public policy\, international relations\, sociology\, business and management studies\, or even musicology. \nThis course aims at enabling students to produce a publishable QCA of their own. In order to achieve this\, the course provides both the formal set theoretical underpinnings of QCA and the technical and research practical skills necessary for performing a QCA. All applied parts of the course will be performed in the R software environment\, using RStudio (Cloud). The course is structured as follows: \nWeek 1 of the course is dedicated to an introduction of the nuts and bolts of QCA as well as the R software environment. We start with some basics of formal logic and set theory. Then we introduce the notions of sets and how they are calibrated. After this\, we move on to the concepts of causal complexity and of necessity and sufficiency\, show how the latter denote subset relations\, and then learn how such subset relations can be analyzed with so-called truth tables. We learn how to logically minimize truth tables and what the options for the treatment of so-called logical remainders are. \nIn Week 2\, once participants master the current standard analysis practice\, we discuss several extensions and improvements of QCA. Discussions in class will address from a set-theoretic point of view general methodological issues and advanced tools for solidifying and extending QCA. The topics covered include robustness tests\, theory evaluation\, case selection strategies for combining QCA with within-case process tracing\, and the role of time and temporality in descriptive and causal inference. \nThroughout the course\, we will analyze fake and real data in the computer lab\, using the R software environment and packages QCA and SetMethods. In addition to prepared datasets\, which will be made available\, participants are encouraged to bring their own raw data (even if this data is still tentative)\, which can be used for lab exercises and project work. Instructors and teaching assistants will be available for individual appointments with course participants to discuss research projects\, questions regarding the design of a QCA study\, and similar issues.
URL:https://compasss.org/event/qualitative-comparative-analysis-qca-performing-basics-and-advanced-analyses-using-r/
LOCATION:Radboud University\, Houtlaan 4\, Nijmegen\, 6525 XZ\, Netherlands
CATEGORIES:Training
ORGANIZER;CN="Carsten Schneider (Central European University)":MAILTO:schneiderc@ceu.edu
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DTEND;TZID=America/Chicago:20230630T150000
DTSTAMP:20260501T000444
CREATED:20230517T180700Z
LAST-MODIFIED:20230517T183400Z
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SUMMARY:Qualitative Comparative Analysis (QCA): Performing Basics and Advanced Analyses using R
DESCRIPTION:This is a methodological course on set-theoretic methods for the social sciences. While the spectrum of a set-theoretic methods is broad\, including techniques such as Mill’s methods or typological theory\, this course primarily focuses on the crisp-set and fuzzy-set versions ofQualitative Comparative Analysis (QCA). Invented by Charles Ragin [1987]\, this technique isstill undergoing modifications\, improvements\, and ramifications. These methods are applied infields as diverse as political science\, public policy\, international relations\, sociology\, businessand management studies\, or even musicology (see www.compasss.org).  \nThis course aims atenabling students to produce a publishable QCA of their own. In order to achieve this\, this course provides both the formal set theoretical underpinnings of QCA and the technical and Schneider & Oana – QCA\, IPSA FLACSO\, Fall 2022 research practical skills necessary for performing a QCA. All applied parts of the course will be performed in the R software environment\, using RStudio (Cloud).
URL:https://compasss.org/event/qualitative-comparative-analysis-qca-performing-basics-and-advanced-analyses-using-r-2/
LOCATION:Online
CATEGORIES:Training
ORGANIZER;CN="Carsten Schneider (Central European University)":MAILTO:schneiderc@ceu.edu
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20230626
DTEND;VALUE=DATE:20230701
DTSTAMP:20260501T000444
CREATED:20230214T190806Z
LAST-MODIFIED:20230214T190806Z
UID:1194-1687737600-1688169599@compasss.org
SUMMARY:​​Introduction to Necessary Condition Analysis (NCA)​
DESCRIPTION:This doctoral course will teach you the fundamentals of Necessary Condition Analysis (NCA) and help you design your first NCA research project. Necessary Condition Analysis is an innovative research method for identifying necessary (but not sufficient) conditions in data sets. Allowing you to separate the “need-to-haves” from the “nice-to-haves”\, NCA offers compelling practical advice and novel theoretical insights. The course provides a comprehensive introduction to NCA\, including its theoretical logic\, practical application\, relation to other research methods\, and research design. \nThe course is designed for students\, researchers\, and practitioners who want to understand the fundamentals of NCA and learn how they can effectively use the method in their own research projects. \nThis unique five-day course combines theoretical discussions with practical assignments. You will learn more about conditional logic and how it changes the way we think about causal relationships. We will teach you how to conduct an NCA with the statistical programming language R and RStudio. You will also learn how to identify and formulate necessary condition hypotheses in your own area of expertise. The course will be interactive and developmental in nature. At the end of the course\, you will be able to design your own NCA research project. \nYou will earn 2ECTS when you complete the attendance and participations requirements of the course. It will also be possible to obtain 2 additional ECTS. To do so\, you need to write a short academic paper that correctly uses NCA\, including the theoretical development and empirical testing of necessity hypotheses.
URL:https://compasss.org/event/introduction-to-necessary-condition-analysis-nca/
LOCATION:Radboud University\, Houtlaan 4\, Nijmegen\, 6525 XZ\, Netherlands
CATEGORIES:Training
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