DAPR1

DAPR1

Welcome

Thank you for your interest in the Data Analysis for Psychology in R 1 (DAPR1) course! We welcome you to this course and hope that you will enjoy learning how to summarise large data into informative graphs and insights.

DAPR1 is a first course in data analysis for psychological research, using the R software. This course will teach you how to collect data, plotting and describing it in order to extract meaningful insights.

Prerequisites

There are no particular requirements for students in order to attend this course. We just hope that you will keep an inquisitive mindset when interrogating data.

Content overview

This course introduces data collection, visualisation and description. You will learn to produce appropriate graphs and summaries using the R software, which will be slowly introduced alongside the data analysis concepts. You will then learn how to use data collected on a sample of the population in order to answer questions about the entire population, for which you do not have the entirety of the data as it would be too costly or time-expensive to do so.

Course commitment

Students are expected to attend 3 hours per week of taught sessions:

  • 1x 1hour lecture
  • 1x 2hour lab

In addition, students will be given:

  • a weekly homework quiz (part of the assessment),
  • assigned reading, and
  • there may be some work left over from your labs.

In total, it is anticipated that students spend approximately 5-6 hours a week on DAPR1 work (inclusive of 3 compulsory hours). More information about how to structure your time can be found in the course Study Guide on LEARN.

Assessment

The 20 weeks of teaching will be split into:

  • 2 practice quizzes
  • 14 graded quizzes (20% of final grade)
    Notes: only the 12 best scores out of the 14 quizzes will count towards the final grade.
  • 1 practice lab test
  • graded lab tests (30% of final grade, 3x 10% each)

Furthermore, there will be:

  • graded report (50% of final grade)

Course team

Dr Tom Booth

Dr Josiah King

Dr Umberto Noè

How to approach your data analysis training

Try to keep up with the course material, be inquisitive, and do not be afraid to ask questions. You will love this course as you will then have the skills to summarise large data into meaningful insights.

It is really important that you establish good working patterns for DAPR1 course early. It will help you throughout the rest of your degree.

The DAPR1 course has been structured to encourage continual engagement, based on the fact that these types of skills are best acquired through regular practice. We strongly encourage students to work together week by week in labs, problem sets, and working through lecture material, and to make use of the drop-in sessions provided. These are your chance to come and clarify any points of misunderstanding with the teaching team while it is all still fresh in your mind. Working with friends, sharing ideas, explaining concepts, and discussing with the teaching team are all highly effective tools for learning. We hope we can build an atmosphere that will encourage these things.