Intro : PY 0794 - Advanced Quantitative Research Methods

class: center, middle, inverse, title-slide

.title[
# Intro : PY 0794 - Advanced Quantitative Research Methods
]
.author[
### Dr. Thomas Pollet, Northumbria University (<a href="mailto:thomas.pollet@northumbria.ac.uk" class="email">thomas.pollet@northumbria.ac.uk</a>)
]
.date[
### 2023-11-16 | <a href="http://tvpollet.github.io/disclaimer">disclaimer</a>
]

---

## PY0794: Advanced Quantitative research methods.

* Change introduced a couple of years ago.

* Worksheets to provide you additional support.

* Class time focused on practice.

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## Some reassurance.

* Statistics is hard, no way around it. This course is about applying it.

* You will be challenged - as most of you will not have had any engagement in programming.

* If you engage, make the exercises, you will be alright! The worst thing: stop engaging.

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## Housekeeping

Course manual.
 
 Reading list.
 
 Attendance. / Be punctual. / Be engaged.
 
 Exercise after each lecture. Keep up!
 
 Appointment via: thomas.pollet@northumbria.ac.uk

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## Assignments

The bit you care about most: marks.

30% each (remaining 40% Qual. components)
 
 Deadlines: see Turnitin briefs (1pm) / MRes. Handbook.
 
 Graded via rubrics
 
 Empty .rmd shell which you will turn into a .pdf
 
 Screenshot + .pdf + .rmd

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## Assignments (bis)

Complete the exercises in class (+ any bonus), you can find them under 'Learning resources'.
 
 Questions via elearning environment, _but_ only if you attempted the corresponding exercise.

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## Today.

- Who has installed Rstudio + R?

- Who has completed the preparation?

- Group allocation.

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## Acknowledgments.

These slides were built with [xaringan](https://github.com/yihui/xaringan).