4 janv. 2018
This course was excellent in all aspects, including the interesting and extensive material, as well as Dr. Annemarie Zand Scholten's brilliant lectures that help students digest and enjoy the content.
15 nov. 2020
Excellent course! Well narrated, even entertaining, VERY well structured, with supporting material, and a great mix of theory and examples or discussions. Perhaps the best MOOC I've ever encountered.
par Robert S•
12 janv. 2018
This course was a nice introduction to quantitative methods. I have previously taken university-level courses in quantitative methods, and was taking this course as a refresher, particularly in research design and sampling. I found it achieved this purpose. The lecturer was great: very engaging and clear.
par Dr. A B•
3 juil. 2017
Course was extremely helpful and informative. Condition of reviewing five assignments instead of three created a lot of problems due to non-availability of required submissions. I recommend reviewing the three assignments. It will be more productive by removing the confusion, frustration and time wastage.
par Sirine A H•
9 avr. 2018
Very interesting course! Explanations were clear. The course is well structured. It helped me a lot to organize the concepts that I already had about research methods. I stayed motivated all the course period. The choice of the quizzes were also very successful (QCM- creative and evaluative). Thank you!
par Ana S H•
2 janv. 2019
I found this course extremely useful in explaining the basic concepts that lead to a strong quantitative methods design. I am hoping to use mixed methods on my PhD research, and I feel that this course has given me a solid foundation through which I can design my quantitative method of data collection.
par mai u•
15 oct. 2020
The course while it served as a review of my undergraduate course was really challenging and also refreshing in a sense. The exam and exercises were also appropriate. They were difficult but I felt that they design to measure what it really meant to measure, therefore has a high construct validity. :)
par Edwin Y R M•
10 mai 2019
This is one of the best courses that I ever toke on Coursera. The content is rich, clear, useful, the assigments are chalengers, providing a close view to main aspects of any quantitaive research. I recommennd this Course to anyone who wants to learn the essensial content about qualtitative methods.
par Kat S•
3 nov. 2022
This is the first MOOC course that I took very seriously because it could further my skills in research design. I had a great experience learning from it and my hours spent are absolutely worth it. It is obvious to me that a lot of efforts and heart were put into its design.Thanks to all creators!
par Bohdana D•
30 août 2022
Enjoyed the course a lot!
I am new to sociology and researches so I had lots of new information and spent some time to go through new terms. But the lectures are short, precise and easy to comprehend. Interviews give some new POVs. And I love creative assignments, they all were really interesting.
par Elena G•
19 nov. 2016
I highly recommend this seriously challenging course. It was difficult, but very effective and stimulating. Thank you for taking your time to create such a wonderful and helpful course on Quantitative methods. I've definitely expanded my horizons with your material :) Good luck, and stay inspired!
par Hong N P N•
23 mars 2020
This is a very well-structured course for those who are beginners to doing research. The course approached Quantitative Methods in a very comprehensive yet simple way, so that it is very easy to follow and understand. I am totally satisfied with what I have learnt through 8 weeks of this course.
par Polina B•
3 avr. 2017
I enjoyed the course. First, I liked the instructor very much. Dr Zand Scholten explained everything in a very structured and concrete way. Examples were repetitive, but very understandable. Also some of creative assignments (weeks 3, 5, 7) were quite useful for understanding of course concepts.
par Arman B K•
31 oct. 2018
Great course for learning how to design and evaluate quantitaive studies in social science. Highly recommend it to anyone whose university curriculum does not include anything beyond statistical methods when it comes to teaching research methods (I'm talking to economics students like myself).
par Eldar A•
22 août 2020
This course is one of the most productive courses I have ever had for my 10 years study in Academia. It is a well-structured, theory and practice balanced. I would recommend it to everyone who seeks to start a PhD study. Thank you to all people who crafted and contributed to this course!
par Tran V N T•
9 avr. 2016
I have to say thanks to Dr Annemarie Zand Scholten. I can feel how much efforts she had put into the lectures. Complex contents are simplified and easy to learn even for a non-native English speaker like me. I'm happy because I joint this course, very useful, an enjoyable experience.
par Suresh V K•
30 mars 2018
I found the course easy to follow through, enjoyed the format, and learned a lot about the historical background to philosophy and science as well as research methods. I believe it will be useful for anyone looking to get a good understanding and grounding in quantitative methods.
par Thomas B•
20 avr. 2020
The flexibility and simplicity of the overall structure really helped me complete my tasks on time while working full-time. The material was really robust, and the applied examples provided during the exams helped me understand in depth the course's content. Highly recommended.
par INDRAJEET K•
11 mai 2020
A very well designed course that built my concept on how to do research in a quantitative way. The mentor also had a charismatic personality. This course of 30+ hours was explained by the mentor wearing a single dress, which made the lectures little boring in the latter stage.
par Dr M R•
5 nov. 2019
The course is an excellent one . As a student of Economics I have learnt a lot about the research methodology and how to conduct the quantitative research. I have learnt the ethics of research also.This is very helpful for future.
Thanks a lot to AMU to conduct this course.
par Manasi E T•
26 juin 2022
This course is a great introduction to a subject most of us would simply skim through during college! Quick, brief introduction which will really open your eyes about what could go wrong when we do research and how we can make sure that we do not produce "sloppy science"!
par Austin L•
22 mai 2020
I very much enjoyed the class and all the videos. Highly recommend. It is not quite as good of a class as an in classroom experience but I feel significantly more knowledgable than before and will use these skills in my professional life as preparation for graduate school.
par Muchiri K•
19 nov. 2017
This is course was put together very well. It is delivered in a manner that is easy to understand despite the technical nature of many of the concepts. I am glad i took this course and highly recommend it to anyone seeking to improve their knowledge of Quantitative Methods
par Kumar A•
27 juil. 2017
It was a great course for a someone who is a beginner. I really liked the approach of analyzing other researches. They were not too difficult, providing the correct balance for students to get to know the topic better and also not be over burdened by the course structure.
par Carol C•
27 mars 2017
The concepts were clearly and cleverly explained. The assignments were relevant and helped to extend my knowledge of course videos. I appreciate the methods used to teach the course and provide evaluation and feedback. There was a lot of work but I learned a lot too!
par Yaroslav B•
3 sept. 2020
It's was very interesting to be a part of this journey through quantitative methods in social science. I have gained complete knowledge about quantitative research which will help me more accurately investigate interesting parts of social life. Thank you so much.
par Somya T•
14 déc. 2016
It is a brilliant course explaining each aspect of quantitative research methods. The course covers all the major topics used in Psychological Research. It has helped me to understand and apply variety of concepts like research design, measurement and sampling.