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Qualitative Comparative Analysis (QCA) · LearnSpace
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Qualitative Comparative Analysis (QCA)

Курс от Erasmus University Rotterdam
Начальный≈ 26.6 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Welcome to this massive open online course (MOOC) about Qualitative Comparative Analysis (QCA). Please read the points below before you start the course. This will help you prepare well for the course and attend it properly. It will also help you determine if the course offers the knowledge and skills you are looking for. What can you do with QCA? • QCA is a comparative method that is mainly used in the social sciences for the assessment of cause-effect relations (i.e. causation). • QCA is relevant for researchers who normally work with qualitative methods and are looking for a more systematic way of comparing and assessing cases. • QCA is also useful for quantitative researchers who like to assess alternative (more complex) aspects of causation, such as how factors work together in producing an effect. • QCA can be used for the analysis of cases on all levels: macro (e.g. countries), meso (e.g. organizations) and micro (e.g. individuals). • QCA is mostly used for research of small- and medium-sized samples and populations (10-100 cases), but it can also be used for larger groups. Ideally, the number of cases is at least 10. QCA cannot be used if you are doing an in-depth study of one case. What will you learn in this course? • The course is designed for people who have no or little experience with QCA. • After the course you will understand the methodological foundations of QCA. • After the course you will know how to conduct a basic QCA study by yourself. How is this course organized? • The MOOC takes five weeks. The specific learning objectives and activities per week are mentioned in appendix A of the course guide. Please find the course guide under Resources in the main menu. • The learning objectives with regard to understanding the foundations of QCA and practically conducting a QCA study are pursued throughout the course. However, week 1 focuses more on the general analytic foundations, and weeks 2 to 5 are more about the practical aspects of a QCA study. • The activities of the course include watching the videos, consulting supplementary material where necessary, and doing assignments. The activities should be done in that order: first watch the videos; then consult supplementary material (if desired) for more details and examples; then do the assignments. • There are 10 assignments. Appendix A in the course guide states the estimated time needed to make the assignments and how the assignments are graded. Only assignments 1 to 6 and 8 are mandatory. These 7 mandatory assignments must be completed successfully to pass the course. • Making the assignments successfully is one condition for receiving a course certificate. Further information about receiving a course certificate can be found here: https://learner.coursera.help/hc/en-us/articles/209819053-Get-a-Course-Certificate About the supplementary material • The course can be followed by watching the videos. It is not absolutely necessary yet recommended to study the supplementary reading material (as mentioned in the course guide) for further details and examples. Further, because some of the covered topics are quite technical (particularly topics in weeks 3 and 4 of the course), we provide several worked examples that supplement the videos by offering more specific illustrations and explanation. These worked examples can be found under Resources in the main menu. • Note that the supplementary readings are mostly not freely available. Books have to be bought or might be available in a university library; journal publications have to be ordered online or are accessible via a university license. • The textbook by Schneider and Wagemann (2012) functions as the primary reference for further information on the topics that are covered in the MOOC. Appendix A in the course guide mentions which chapters in that book can be consulted for which week of the course. • The publication by Schneider and Wagemann (2012) is comprehensive and detailed, and covers almost all topics discussed in the MOOC. However, for further study, appendix A in the course guide also mentions some additional supplementary literature. • Please find the full list of references for all citations (mentioned in this course guide, in the MOOC, and in the assignments) in appendix B of the course guide.

Навыки, которые вы освоите

Data Analysis SoftwareReport WritingResearch ReportsQualitative ResearchScience and ResearchCase StudiesResearch MethodologiesResearchScientific MethodsSocial SciencesResearch Design

Программа курса

5 модулей · 31 учебных материалов

01Introduction, analytic foundations and the QCA research process6 материалов

First read the course guide

Course guideЧтение

Lectures

1.1. Objectives and agenda of the courseВидео1.2. QCA vs other approachesВидео1.3. Set theory and complex causalityВидео

Учитесь у экспертов

Fadi Hirzalla

Assistant Professor / Senior Lecturer

Qualitative Comparative Analysis (QCA)
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 26.6 ч

5 модулей

Язык: Английский

Субтитры: Арабский, Французский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Нидерландский, Корейский, Немецкий, Русский, Тайский, Индонезийский, Шведский, Турецкий, Испанский, Хинди, Японский, Казахский, Польский

Часть программы вашего университета
1.4. The QCA research fieldВидео

Not mandatory, but recommended: supplementary readings

Readings in course guideЧтение
02Research design and calibration7 материалов

Lectures

2.1. Orientation and focal pointsВидео2.2. Cases, outcomes and conditionsВидео2.3. Crisp vs fuzzy setsВидео2.4. Calibration with quantitative, qualitative and secondary dataВидео

Not mandatory, but recommended: supplementary readings

Readings in course guideЧтение

Assignments about weeks 1 and 2

Assignment 1. Main terms and backgroundЗаданиеAssignment 2. CalibrationВзаимная проверка
03The truth table6 материалов

Lectures

3.1. The purpose and construction of a truth tableВидео3.2. Raw consistencyВидео3.3. Resolving contradictory configurationsВидео

Not mandatory, but recommended: supplementary readings

Readings in course guideЧтение

Assignments for week 3

Assignment 3. Make a truth table for crisp dataЗаданиеAssignment 4. Make a truth table for fuzzy dataЗадание
04Logical minimization and the interpretation of output5 материалов

Lectures

4.1. What is logical minimization?Видео4.2. The minimal formulaВидео4.3. Parameters of fitВидео

Not mandatory, but recommended: supplementary readings

Readings in course guideЧтение

Assignment about week 4

Assignment 5. Minimize a truth tableЗадание
05Using FsQCA, more about the interpretation of output, and the write-up7 материалов

Lectures

5.1. Using FsQCA 3, part 1Видео5.2. Using FsQCA 3, part 2Видео5.3. Do's and don'ts for the write-upВидео

Not mandatory, but recommended: supplementary readings

Readings in course guideЧтение

Assignments about weeks 4 and 5

Assignment 6. Using the program fsQCA for the analysis of crisp data (PLUS bonus assignment 7; is not mandatory)ЗаданиеAssignment 8. Using the program fsQCA for the analysis of fuzzy data (PLUS bonus assignment 9; is not mandatory)ЗаданиеAssignment 10. Critical reflection (bonus assignment; is not mandatory)Обсуждение