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Comprehensive H1 (91) Research Methods for Human Enquiry Notes

Full notes from weeks 1 to 12 covering how to use the programming system R, statistical theory, chi-...

32 pages, 13778 words

RMHI PSYC30013 H1 (88) Subject Guide/Revision

Comprehensive notes for all content relevant to the assignment and final exam for Research Methods f...

54 pages, 12028 words

High H1 (92) RMHI notes for Significance Test

Hi, this note helped me to achieve an 97 in the assignment and 92 overall, hope you find it helpful!...

11 pages, 5504 words

High H1(97) RMHI Code Checklist

An H1 checklist of all codes included in the lecture on Research Methods for Human Inquiry PSYC30013...

6 pages, 1046 words

[High H1] RMHI (PSYC30013) Complete Subject Notes

Carefully crafted from all lecture content, online videos and selected key points from tutorials, th...

74 pages, 22897 words

PSYC30013 RMHI R studio Notes

Hello there! I've seen a lot of people struggling with R studio, and I was very lucky to have enjoye...

31 pages, 4722 words

H1 Research Methods for Human Inquiry (RMHI) Notes

Semester 1, 2020 Lecturer: Amy Perfors Statistical Software: R H1 notes on all lecture video c...

37 pages, 11909 words

MCQ for Revision

This is a set of over 120 MCQ made from the lecture slides and notes that I used to revise the subje...

26 pages, 9507 words

RMHI Psychological Assessment Notes

These notes comprehensively cover the final three lectures of RMHI which focus on reliability and va...

11 pages, 1777 words

PSYC30013 Research Methods for Human Inquiry Semester 1, 2016

Hot off the press!! These PSYC30013 notes are from Semester 1 2016 and comprehensively cover the con...

41 pages, 19054 words


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My favorite subject so far, Andy is an amazing lecturer/coordinator

Anonymous, Semester 1, 2022

Most students are very skeptical coming into this subject, especially considering it's compulsory for psychology students. However, I have to say it was probably one of, if not the best psychology subject I've taken and quite doable to do well in. Andy, designed the course in a really straightforward manner. Some of the concepts may initially seem intimidating but the amount of work you put into studying for the subject always pays off. To do well, you just have to practice exercises often. This means staying up to date with the lecture content. Everything builds from lecture to lecture. One thing I think could have been done better is making the mid-semester assignment harder and giving students less time to complete it (unfortunately cheating is very easy in this subject). This year (2022), over 60% of students got a H1 on the mid-semester assignment, so unfortunately scores had to be adjusted quite a lot at the of the semester. Still, it's a very interesting, rewarding subject.

Anonymous, Semester 1, 2022

Truly amazing subject!!!! Andy is probably the best lecturer I've ever had, he finds such creative and fun ways to explain stats. 100000% would recommend!!!

Anonymous, Semester 1, 2021

Such an interesting subject!!! I didn't even like statistics but Andy was such a great lecturer, he made the content super interesting and engaging!!!

Anonymous, Semester 1, 2021

This subject required some solid hours, but they were well worth it. Andy Perfors designed the class in such a way that made it difficult not to love stats. I've found the concepts and skills from this class useful both within and external to my degree. I'm also super grateful that I know the basics of R now! The exercises were particularly helpful- if you take the time to understand and apply the content to the exercises provided, you can do really well in this subject.

Anonymous, Semester 1, 2020

Very much enjoyed this subject. Andy Perfors is a fantastic lecturer, he worked really hard to make the content engaging for us and helped me out a lot when I emailed him about certain aspects I was struggling with.

Anonymous, Semester 1, 2020

Amy Perfors is the best lecturer ever. I thought this subject would be so difficult, but she explained every content clearly, along with the Q & A sessions. The tutorials are engaging and helpful too, as they provide you with R exercises!!

Anonymous, Semester 1, 2020

I admit that I was quite taken aback from having to learn basic programming in R (as a psychology major since they never taught us this before) but it was very well taught and even interesting. The lecturer (Amy) was amazing and kept us all entertained and engaged with a narrative she weaved into the content. With enough practice, the programming part will end up being easy, but the statistical theory behind it was more difficult to grasp. Definitely keep up with the content, practice (a lot) and don't underestimate the exam (you'll need to understand the theory bit very well).

Anonymous, Semester 1, 2020

This is definitely the best subject I've taken - but it can feel quite challenging in the moment. Stay on top of the content, make sure you don't let yourself get intimidated, and you'll be fine.

Anonymous, Semester 1, 2019

The assignment was really easy. Do not underestimate the lecture content. Keep reading, keep digesting, keep yearning to find out more about stats. Things that seem simple are more complex than you think.

Anonymous, Semester 1, 2019