great!

Good!

great

great

nice!

good.

شكرا

شكرا

good

nice

Good

good

Best

good

good

ok

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Great content and I thought the lecturer delivered it very professionally with easy to understand analogies that helped me to remember some of the concepts. Understandably, this is an introductory course and it would benefit the learner to do some Googling on certain ideas mentioned on the course to get a better understanding. The illustrations were helpful with visualising and summarising most of the time but on a few rare occasions, they didn't match up 100% and was a little confusing for me. As this was my first Coursera course, I have only just found out that there is no way to interact with my peers or the course team members directly, I mean there is no direct messaging system. Looking at the (lack of) activity in the forums, I was worried that the course might be "dead" but it seems like there are enough active participants to grade my assignments and allow me to successfully complete the course. One final note: I spent well over 35 hours to complete Quantitative methods (estimated time to completion by Coursera/University of Amsterdam was 29 hours).

It is a very useful course, as an international student who is currently studying in the Netherland, I have to say, this course is a very dutch way. we have to do group work with our classmates, and we can have a discussion with other people.

In addition, those courses are not very long, they are very short videos and everyone can use several minutes to take those courses. This course aims to lay the foundation for conducting first-class qualitative and quantitative research and embed it in an effective and feasible mixed-method research design, thereby laying a solid foundation. At the end of this course, students will have a good understanding of the most important principles and practices of social science research. At the end of the course, he will also be able to improve his knowledge and skills independently, so as to pursue his substantive research interests without methodological obstacles. The course first introduces and discusses the most important qualitative methods for all students in the social sciences and behavioural sciences.

The content provided is of excellent quality, and videos are well explained. I only put 3 stars for 2 reasons. The first one, is that the “peer-reviewing” idea is not a good idea without language requirements to enrol in this course: at least half of the assignments I peer-reviewed were filled with vocabulary and grammar mistakes make it really hard the understand. In many cases as well, the assignments are so filled with mistakes that it is just impossible to understand. I therefore wonder, how such low English skills can permit some of us to read carefully and understand the texts used for the assignments.

The second point, is that in my opinion, the content remains very general. For instance a deeper analysis of each research designs would have been nice.

The course remains however extremely useful for whoever is interested in quantitative reasoning. I would recommend to pair this knowledge with that of books on each topic discussed.

The course covers a lot of topics, which all together provide a good introduction into research. it is well-structured and covers even aspects of the current movement towards open science. I enjoyed the way the course instructor, Annemarie Zand Scholten, guides you through the course. The slides are well-made and the assignments really support applying the knowledge gained. Nonetheless, the instructions in the assignments need some attention as they sometimes contain contradictory information about what is asked. Furthermore, a number of the items in the quizzes are at least technically questionable; so one has to guess or assume what was probably intended to ask. Most disappointing: I never had so many cases of plagiarism by other participants. Still, I will recommend this course to my students.

I really enjoyed this course overall (and it was somewhat easy for me because I have some background in this already), but there were some technical issues especially regarding accessing assignments. It would be nice if there was a more robust group of volunteer tutors/teaching assistants or something to answer questions or deal with these technical issues, especially the final exam not working for a while for me and some other people. But, I enjoyed the illustrations (drawings) and cute examples, and also the lecturer did a pretty good job on camera. I would probably give this course a 4.5 if possible, but I am hesitant to give it a full 5 points because of the technical issues. Anyway I would recommend the course to someone who wants a survey of quantitative methods to prepare for future study.

I had no grounding in quantitative research methods before doing this course, although I have an undergraduate humanities degree with some background in the philosophical foundations of the course (e.g. epistemology, ontology). I found that the course was pitched at a good level for me. It gave a clear, thorough overview of quantitative research. I enjoyed the simplicity of the videos and the appeal of the cartoons, but I also really appreciated the additional interviews with social scientists and the use of real academic articles in the assignments, as it allowed me a more nuanced understanding and application of the concepts. (Useful to note: I took notes as I watched the lectures, and I found it took a lot longer than the recommended time, because the lectures are very content-dense.)

The content is well structured and well-presented. And the course is well organized to keep the learner on track and motivated. If there is scope to improve for the next iteration, I might suggest including a more complicated example after the lectures and the unit assignment to show, for example, how the concepts of research validity might apply to a longer, more realistic case study. I often found that there was a big jump between the lectures and test to the homework assignments. This may reflect a flaw in the "sequence and reinforcement" of the learning design, but it would be easily addressed by including an optional case study to review. I did not find the supplemental interviews as relevant to my needs as a non-academic. But overall, thanks!