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Débute 4 June 2026 02:33
Se termine 4 June 2026
Necessary Condition Analysis (NCA)
Tel Aviv University
3 Cours
L'Université de Tel Aviv est la plus grande université d'Israël, proposant un enseignement et une recherche innovants dans les domaines des arts et des sciences, du droit, de l'ingénierie et de la médecine. Elle est réputée pour sa vie étudiante vibrante et ses programmes interdisciplinaires dynamiques.
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Amélioration optionnelle disponible
Aperçu
Welcome to the Necessary Condition Analysis (NCA) course available on Coursera, proudly presented by Tel Aviv University. Dive deep into the essentials of NCA, a cutting-edge approach that utilizes necessity logic to analyze data.
Understand the crucial principle that certain conditions must be met for success to be possible, though their presence alone does not guarantee success. Explore vivid examples like the significance of a student's GMAT score for PhD program admission, the role of intelligence in creativity, and the importance of management commitment in organizational change.
Whether you're working with existing datasets or embarking on new research, NCA provides unique insights that can revolutionize both theory and practice.
This course is designed to be flexible, allowing for application as either a stand-alone analysis or in conjunction with methods like multiple linear regression (MLR), structural equation modelling (SEM), or Qualitative Comparative Analysis (QCA). Through comprehensive lessons, you'll learn how to set up an NCA study, execute the analysis using R software, and effectively present your findings.
Enroll now and expand your analytical skills within the realms of Data Analysis, Economics, and Qualitative Research.
Delve into the fascinating world of Necessary Condition Analysis and unlock the potential to make groundbreaking discoveries in your field. We look forward to welcoming you to this transformative learning experience!
Categories:
Data Analysis Courses, Economics Courses, Qualitative Research Courses.
Enseigné par
Wilfred Knol, Chloé Schwizgebel, Jan Dul, Nicole Franziska Richter and Jon Bokrantz
