Jan 05, 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.
May 08, 2018
It is well-structured and informative. The pop up questions are interactive and the animation is fun. I have learned a lot from the video instruction, recommended readings, and assignments. Thanks.
автор: Kate G•
Aug 12, 2017
The videos were very well done. I also really liked the exercises they were challenging and very relevant. I highly recommend.
автор: Krishna B•
Mar 20, 2016
Well structured course with the best assignments. Would totally recommend for beginners in the Social science research domain.
автор: Clare G•
Jul 29, 2019
Really simply explained and some interesting examples. I feel much more confident reviewing quantitative research papers now.
автор: Petko N M•
Apr 28, 2017
The course is good, though a glossary of the terms will make it great. The lectures' language is clear and easy to understand
автор: Sue L•
Mar 11, 2017
I highly recommend this course for those who want to brush up on the high-level basics of the quantitative research methods.
автор: Naomi K•
Feb 03, 2019
I enjoyed this course and felt the examples used to explain particular information made the material very clear. Well done!
автор: Maria L•
Sep 27, 2016
Great course with great content!! I learnt a lot! But it takes much more time than 4-5h a week as is stated at course info.
автор: Azara E N•
Sep 27, 2016
so educating and fascinating. It has really expanded my intellectual horizons and research venn diagram into more circles.
автор: Alex S•
May 02, 2020
Very well put together course. The lecturer is very engaging, and really tackles the subject matter in an accessible way.
автор: Mario S D F•
Oct 03, 2016
I keep coming back whenever a concept in my actual Medical Education Master classes seems vague. Thank you Prof. Scholten
автор: Maria F•
Nov 08, 2015
Unexpectedly, I am really enjoying this course!
The course is very well organized, easy to follow and engaging.
автор: Tiffany L•
Mar 07, 2019
Very helpful and gives a great overview. Feels as if one is in a class learning, but has the benefit of their own time.
автор: Md S H•
Jun 10, 2018
Its a great course what they have designed for us. I loved and enjoyed that a lot. It helped to learn new things indeed.
автор: Parvathy S•
May 03, 2020
Intelligently structured, easily understandable, as rigorous as a university course would be. Learned a lot. Loved it!
автор: Simon M•
Jan 21, 2018
This course is quite interesting. I have learned a lot and has exposed me to many things I don't know about research.
автор: George H B J•
Jan 06, 2016
Very well organized and executed! The assignments are both challenging and present excellent learning opportunities.
автор: Petra E C•
Oct 09, 2015
Excellent course. Instructive, informative and useful, with the best instructor I have ever had. Best course, by far.
автор: Esteban R•
Apr 03, 2019
Muy buen curso, de muy buena calidad. La implementación de evaluación por pares mejora mucho la exigencia del mismo.
автор: Dale P•
Oct 25, 2016
Not even through the first week, which I started ahead, and I am feeling very logically enlightened by the material.
автор: Daniel K•
Mar 18, 2016
Excellent material. The weeks on measurement and sampling went a bit too fast but otherwise the course is fantastic.
автор: farrukh j•
Feb 10, 2016
great course. instructor used simple language, applied concepts and good examples. lecture slides are well prepared.
Jul 02, 2017
Really enjoyed the course. I found the format easy to follow and the exercises very practical and problem oriented.
автор: Aditya M B•
Jun 05, 2016
Very well planned and had enough information. I sincerely admire the discipline you tried to bring to the learner.
автор: András B•
Jan 17, 2016
I definitely learned a lot — I liked how there was a quiz and a brief written assignment every week. Good course!
автор: Caitlin T•
Aug 11, 2016
Excellent review of important terms and concepts. Used it to get ready to run a huge quasi-experimental project.