学生对 Erasmus University Rotterdam 提供的 Qualitative Comparative Analysis (QCA) 的评价和反馈
课程概述
热门审阅
MT
Jan 14, 2021
Very comprehensive learning process and clear instructions. Examples provided are also very helpful for the whole course.
RV
Dec 10, 2020
Excelente curso, explica la teoría necesaria para entender el QCA, ejemplos sobre uso del mismo y aplicación en ejercicios prácticos.
1 - Qualitative Comparative Analysis (QCA) 的 25 个评论(共 46 个)
创建者 Stephan M
•Nov 25, 2020
Fantastic course. Very engaging. Great videos. Easy to follow. Exercises are not too easy, not too hard. Can definitely recommend it!
创建者 DEVESH B
•May 23, 2020
Very good course but more exercises using software should be incorporated. Software functions should be discussed in detail.
创建者 Aritra H
•Jun 20, 2020
It is a fantastic course on a very intriguing and novel approach to qualitative research. The assignments were super helpful and the references were in-depth and carefully chosen. I specially like Dr. Hirzalla's approach in encouraging learners to learn by reading and hands on practice rather than delivering lectures only through A/V mode. That way, as a learner, I could internalize the concepts and techniques in a more holistic way. I thank Dr. Hirzalla and the entire team of Erasmus University for conceptualizing and delivering this course. Cheers!
创建者 Kiri D
•May 10, 2020
Excellent course and perfectly pitched at the right level (not to easy, not too hard)
创建者 Kellan N
•Dec 3, 2019
I love how the course explains the truth table construction: very simple and straight forward! Also important, the exercises are helpful to get hands-on experiences (manually constructing the truth table). Thank you very much!
创建者 Sandeep K
•May 7, 2023
One of the best courses in the foundational knowledge of QCA. The instructor is really great, and the resources provided in the course are enough for you to excel in the QCA. I highly recommend this course.
创建者 Mario A V S
•Mar 30, 2021
Muchas gracias a quienes fueron responsables de diseñar e impartir este curso. Es muy bueno y me dio bases firmes para comenzar a realizar investigación con base en QCA.
创建者 Geoffrey S
•Jan 1, 2021
This course was a very good introduction. Professor Hirzalla explains QCA very clearly, slowly, and thoroughly. I wish there was a second part to this course.
创建者 Evelyn C
•Jan 2, 2021
Very well organized content. Great supporting material! Suitable for complete beginners in QCA. Challenging but interesting assignments.
创建者 Rosa M V V
•Dec 11, 2020
Excelente curso, explica la teoría necesaria para entender el QCA, ejemplos sobre uso del mismo y aplicación en ejercicios prácticos.
创建者 amber c
•Jul 19, 2021
Highly recommend for researchers venturing into the area of QCA. Very simple and easy to understand. Thank you so much.
创建者 MIRZA F T
•Jan 14, 2021
Very comprehensive learning process and clear instructions. Examples provided are also very helpful for the whole course.
创建者 Esther B F A
•Oct 21, 2021
Este curso me gusto mucho pues me ayudo a entender un poco más sobre la materia, es un curso muy completo
创建者 Robert D
•Feb 22, 2023
This was a great class. Really well-presented with lots of interesting and practical examples.
创建者 Volodymyr K
•Apr 30, 2020
Very understanding and very easily explained hard stuff. Very great word!!! thanks!!!
创建者 Nimra B
•Jul 13, 2020
Very help to get basic understanding of all main steps involved in data analysis.
创建者 Yamuna S B
•Dec 16, 2021
A great introduction to QCA that gets us starting with this method. Thank you!
创建者 Joseph L
•Aug 18, 2020
An excellent course. The instructor was very clear in his explanation.
创建者 Hania R
•May 17, 2021
This course was very helpful in enhancing my understanding of QCA.
创建者 Monu S
•Jun 22, 2020
Very interesting well conducted course Thanks to Dr Fadi Hirzala
创建者 Mikkel M
•Oct 20, 2020
Useful instructions and very detailed assignments and answers.
创建者 Daniel S
•Jul 1, 2021
An excellent introduction to a complex method
创建者 Ramzi I
•Jul 26, 2023
Amazing course!
创建者 Sarahí M M
•Oct 22, 2021
Excellent!
创建者 SAMIRA K
•Aug 10, 2021
excelent!