#
Methods and Statistics in Social Sciences

Below are the **top discussions** from
Reddit that mention this
online Coursera specialization from
**University of Amsterdam**.

Identify interesting questions, analyze data sets, and correctly interpret results to make solid, evidence-based decisions.

Statistics Statistical Inference R Programming Qualitative Research Confidence Interval Statistical Hypothesis Testing Regression Analysis Analysis Of Variance (ANOVA)

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Taught by

**Matthijs Rooduijn**

Dr.

and 21 more instructors

Offered by

**University of Amsterdam**

This specialization includes these
**4 courses**.

Discover the principles of solid scientific methods in the behavioral and social sciences.

Annemarie Zand Scholten

5 mentions

In this course you will be introduced to the basic ideas behind the qualitative research in social science.

Gerben Moerman

1 mentions

Understanding statistics is essential to understand research in the social and behavioral sciences.

Matthijs Rooduijn

18 mentions

Inferential statistics are concerned with making inferences based on relations found in the sample, to relations in the population.

Annemarie Zand Scholten

2 mentions

#### Reddit Posts and Comments

0 posts • 42 mentions • top 6 shown below

**r/statistics**• post

6 points • chronotope

##### Where to start on my statistics journey? I could use some guidance as a lost graduate student.

Hello,

Long story short I got shafted by my MA program pretty hard in terms of hirable real-life skills. I'm trying to make up for it by self-study and trolling through coursera options; [this] (https://www.coursera.org/specializations/social-science) seems pretty appealing given my international background. (My MA is in International Development and has caused me a huge headache for a bucket of reasons that aren't relevant to my current question.)

I would like to move into a research or data analyst position, but I am not entirely sure where to look for these jobs, or how to become qualified/proficient. Is coursera a good place to start?

Thanks!

**r/PublicFreakout**• comment

2 points • FreeWillDoesNotExist

>> And facts show that there is no statistically significant difference in crime in concealed carry states vs other states

> we literally both agreed on this. I just think itd make for a better video if they had guns.

Okay, so this comment from you was a complete lie then. I understand what you are saying. I just wanted to check the level of self delusion and deception people like you were capable of. Well, like I said earlier, I highly recommend you take this free online course and work on admitting to yourself and others that you are wrong and just making things up to confirmation bias what your right wing information sources have mislead you to believe.

https://www.coursera.org/specializations/social-science

Have a nice rest of your night and work on your intellectual honesty.

**r/mbti**• comment

1 points • blackalyph

> Where I got the data

Data from an extremely small, self-typed sample size of effectively anonymous posters, on a single subsection of a single website that is already heavily demographically biased but can't be controlled for, and allows people to freely sign up for multiple accounts is beyond meaningless. That is not "data" in any sense of the word.

Stop performing "I AM A TI SMARTY PERSON! I'M SUCH AN INTP!!!!" bullshit. If you want to cosplay as an NT, by all means go ahead, but go actually learn something and stop masturbating yourself. Do the work, not the play.

**r/AskProfessors**• comment

1 points • manova

I teach statistics in a psychology department. You would not be the first student to mindlessly make it through stats without really understanding it and you will not be the last. I have graduate students that cannot remember a single thing they learned from stats.

Will you have trouble in later classes? Maybe. It would be common for a research methods class to have you conduct a small experiment and analyze the results. You may have other advanced classes that also have you collect and analyze data (though usually nothing overly advanced). You will also be given original readings from journal articles that will have results sections full of stats that you will need to have at least a basic understanding of interpreting hypothesis testing.

I think you have demonstrated that it is difficult for you to take more than about 12 hours of coursework. You need to respect this limit. See if your math center has tutorial services for statistics and utilize them during your research methods class when you get to parts talking about data analysis.

You can also do some self learning over the winter break. Check out Khan Academy:

https://www.khanacademy.org/math/statistics-probability

Here is a class on Coursera:

https://www.coursera.org/specializations/social-science

(Probably only need the 3rd and 4th topics, and if I understand it correctly, it is free if you don't want their certificate, which is not really worth anything.)

You should be able to find more. Anything aimed at psychology, social science, education, or business should cover similar material you covered in your class. Anything aimed toward advanced math or computer science will likely cover different topics. Working on it now while it is still fresh in your mind would be best instead of waiting until summer or next fall to refresh yourself.

**r/AskStatistics**• comment

1 points • mr0860

I'm from a social science background and, like you, I often find myself hopelessly lost when it comes to what feels like very basic concepts in statistics. I think that's partly due to how statistics is taught in all non-mathematics disciplines - in theory we're taught how to use and evaluate quite complex statistical procedures, but with only 1-2 hours per week teaching, it's impossible for our lecturers to cover the fundamental building blocks that help us to understand what's actually going on.

Because of this, I've recently started a few MOOCs on Coursera, and I've found these massively helpful for covering research methods and statistics in far more depth than my undergraduate and postgraduate lecturers ever had time to delve into. In particular, a couple of courses I'd recommend are:

- Methods and Statistics in Social Sciences - This is particularly focused on quantitative methods in the social sciences (including quite a bit on behavioural and self-report research) so I'm not sure if it will be directly relevant with respect to neuroimaging and cognitive neuroscience, but this gives a great introduction to research methods in general. I've actually only done the first course in this series (Quantitative Research Methods), but they're very comprehensive and well made, so I'm confident that the whole series will be useful for any researcher.
- Probability and statistics: To p or not to p? - This one is a little bit more maths-heavy so might be a bit intimidating if you don't find that sort of material easy, but it's a good introduction to some of the core concepts in quantitative research, including some you mentioned (e.g. probability distributions). You don't really have to fully engage with or grasp the maths for it to be useful either.

In terms of textbooks, I personally use Andy Field's Discovering Statistics Using R, and find that very helpful. Field is a psychologist who is very open about his difficulties with learning statistics, and I've found it quite useful and re-assuring to learn from someone with that mindset. He's also tried writing a statistics textbook in the form of a graphic novel, An Adventure in Statistics: The Reality Enigma, so if that sounds like something that might help you, check it out.

I think a few people from a 'purer' statistics background are a bit more critical about Field's books because they're not as comprehensive as a book written by, for example, a statistics professor - and there might be some advice in there that's a little bit out-of-date or not quite correct. He also has a very hit-and-miss cheesy sense of humour, which you'll either love or find very annoying. But I think he takes the right sort of approach for helping people who aren't necessarily mathematically-inclined to dip their toes into the world of statistics.

**r/umsimads**• comment

1 points • towardsdata

Kicking off the recurring questions around course prep and studying. Here is where I am and what I am doing in preparation.

Completed: https://www.coursera.org/professional-certificates/ibm-data-science

Currently practicing through: https://www.datacamp.com/join-me/NjI1Mjg4Mw==

Thinking about taking : https://www.coursera.org/specializations/social-science