Practicals

Here you will find practical worksheets and introductory slides as well as recordings of guided part of practicals

Practical 1

Welcome and Escape Room

In this first practical, we’ll introduce you to the module, the teaching team, and to your practical breakout room teams. In the second half, we’ll work on an RMarkdown ‘escape room’ to practice debugging

Practical 2

Describing data

In this practical, we will start learning how to explore, analyse and present data and how to write an analysis report. We will build on the knowledge of data-wrangling and visualisation functions you devleloped last term and use it to explore a dataset and write up its basic description

Practical 3

Data cleaning and treating NAs

We build on and expand the data audit skills we honed previously to learn how to deal with messy data, how to look out for entry errors and what to do with missing data

Practical 4

Data Cleaning and Methods

In this practical we get warmed up to start the lab report assessment by completing a formative write-up of the Participants section. We will pull together everything we have learned in the last few weeks to clean the data and write up a formal report of participant descriptives

Practical 5

Correlation

We will use our newfound powers of correlation analysis to investigate how internet and social media use is related to mental health and wellbeing in young people. We’ll also take a close look at the connection between significance and sample size

Practical 6

Chi-Square and Green Study

Practice running a chi-square analysis and get started on the analysis for the Green study lab report

Practical 7

t-test and Red Study

Practice running a t-test and get started on the analysis for the Red study lab report

Practical 8

Writing Up Results

Learn how to write up your results and present them professionally for your lab report. Note that there is no worksheet this week; everything you need is in the slides, on Canvas, or in previous weeks’ worksheets and tutorials

Practical 9

LM 1 & 2: Single Predictor

In this practical, we collaboratively create and evaluate a linear model with one predictor

Practical 10

LM 3: Multiple Predictors

Building on Practical 9, we will add predictors to our model and investigate how the linear model can be expanded

Practical 11

LM 4: Bringing It All Together

We wrap up the module with a test of the skills that you’ve learned this term. Can you solve the puzzles and beat the clock?