PY0794: Advanced Quantitative research methods.

• Change introduced a couple of years ago.

• Worksheets to provide you additional support.

• Class time focused on practice.

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.

Housekeeping

Course manual.

Reading list.

Attendance. / Be punctual. / Be engaged.

Exercise after each lecture. Keep up!

Appointment via: thomas.pollet@northumbria.ac.uk

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

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.

Today.

• Who has installed Rstudio + R?

• Who has completed the preparation?

• Group allocation.

Acknowledgments.

These slides were built with xaringan.