Chevron Left
Retour à Quantitative Methods

Avis et commentaires pour d'étudiants pour Quantitative Methods par Université d'Amsterdam

4.7
étoiles
1,486 évaluations
516 avis

À propos du cours

Discover the principles of solid scientific methods in the behavioral and social sciences. Join us and learn to separate sloppy science from solid research! This course will cover the fundamental principles of science, some history and philosophy of science, research designs, measurement, sampling and ethics. The course is comparable to a university level introductory course on quantitative research methods in the social sciences, but has a strong focus on research integrity. We will use examples from sociology, political sciences, educational sciences, communication sciences and psychology....

Meilleurs avis

LG

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.

AL

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.

Filtrer par :

126 - 150 sur 513 Avis pour Quantitative Methods

par Leitha M

Dec 13, 2015

I really enjoyed this course. The concepts and expectations were clear, the quizzes had good explanations for the answers, and the illustrations really helped to make each of the topic areas more understandable.

par Ojwang J M U

Aug 11, 2020

An excellent course. Topics are well structured. Course content is presented very well with useful examples. The tests are quiet challenging and help to further interrogate the content. I am very satisfied.

par Edison K

Jan 20, 2019

Loved every single minute of it!!!!! Very educational and done in a simplistic way and presented in engaging animations. Hats of to the team. Looking forward to more research kind of courses. Best wishes!!!

par Renzo L

Dec 21, 2015

Excellent course. Very tidy and high quality of the visual presentations. In addition, its objectives are pretty clear from the beginning and the evaluation tasks are closely related to the course's topics.

par Tessa C

Apr 15, 2020

Very well structured and very motivating course! For a cat lover like me it was a pleasure to find so manyexamples with cats. I would have liked to have received model solutions for evaluative assignments.

par Shreya S

May 12, 2020

Very basic overview of research concepts, but super clear and well-taught. I could definitely see myself thinking more critically about how I worked with data in my job, even halfway through the course :)

par Victor H

Dec 16, 2018

Exceptionally good introduction for me: I have some experience of this discipline, gained "on the job"; this course was successful in putting my limited knowledge in context, and in teaching me much more.

par Pavel B

Jun 01, 2016

The course gave a really structured sense of what scientific method is and how scientific research shall be conducted. Assessing how the material is exposed to students - one of best courses here, imho.

par Sheena C

May 08, 2020

Makes complex concepts easy to understand, flows at an easy to follow pace, with the ability to stop and re watch, or re-read material at any time. provides excellent foundational scientific knowledge.

par Athena L L

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.

par MD. M

Jun 08, 2020

This course is really amazing. Instructor addressed all the topics with easy example which helped me to understand the topic easily. I am really satisfied. Thanks to the Quantitative Method Team!

par Jana K

Jul 03, 2020

Best course ever! Both didactically and conceptually. No redundant information, very good examples, practical tasks do make sense and scripts are provided as well. Thank you a lot for this course!

par Diede K

May 31, 2017

Very interesting and informative course! I am very content with the way the course information is presented. The video's were very clear and concise. Thank you very much for making this course!

par Diego A M R

May 28, 2016

It was a really good course, very easy to understand and was good in keeping the interest up. I would only recommend they offered some, at least optional, exercises to help grasp the content.

par Karen b

Jul 22, 2020

Excellent content, really well presented, the conversational interviews after each week reinforced the technical content of the lectures really well. I also enjoyed the challenge! Thank you!

par Michaela v d G

Jan 11, 2020

I am following both the Qualitative and Quantitative Methods courses. I love the tutor of the Quantitative methods. The theory is structured clearly and the lectures are a pleasure to watch.

par Susan w

Feb 21, 2020

I learned a lot from this course and also appreciated the course structure. Questions throughout the videos and transcripts that you could print off made the course much more meaningful.

par Rodrigo R F

Mar 09, 2017

O curso é maravilhoso. Dá uma boa base de como são desenvolvidas pesquisas quantitativas, bem como detalhes importantes sobre ética, epistemologia e gnosiologia, história da ciência etc.

par Carlos R T

Jul 07, 2020

Great condense context content, would help if we get some medium research designs, rather than moving from very simple cases to very complex ones. Very pleased with the course material!

par Sen W

Mar 30, 2016

Lots of abstract concepts, really hard to Asian people. And the teacher's talking speed is a little fast. I have to watch the video for more than 4 times to make some sentences clearly.

par Andrés M G

Apr 08, 2018

I found the course very interesting, even very complex in some topics, but that was really constructive too. The course have excellent resources and explanations, I learned a lot.

par Sandro

Jan 23, 2017

I was very happy with the course. Good amount of workload, good videos, transcripts available, and the exam at the end of the course was difficult, but doable after some studying.

par Rachael

Apr 21, 2019

Tough topic if you are relatively new to it - but the presentation and lectures were great, accessible and exceptionally high quality - great job on putting the course together!

par Mohammed A

Oct 01, 2018

This is a great starting course on the topic of Quant Methods. The program could take an entire semester or two if you want to go in depth, but as a starter, it was just right.

par Arman Z

Aug 08, 2019

Very good course material and quizzes. However, I expected a little bit of different themes. Particularly, I expected quantitative analysis - t-test, normal distribution, etc.