Advanced Quantitative Methods module (PY52007)
Learn about statistical analysis used in psychological research
20
PY52007
This module will provide you with an understanding of statistical analyses used in psychological research. It aims to teach you the use of appropriate advanced statistical methods.
Using a problem-oriented approach, you will learn the following topics:
- hypothesis testing
- correlation
- regression
- ANOVA
- multilevel models
- structural equation modelling
- mediation and moderation
- meta-analysis
You will also learn to conduct power analysis, alongside learning the open science principles that are embedded throughout the module.
What you will learn
In this module you will:
- consider what analyses are appropriate for your research design
- learn how these analyses work
- learn how to run analyses
- learn how to interpret analyses and report the results
- focus on the common logic of statistical analyses by looking at the general linear model, showing how all the analyses we do are different cases of this
By the end of this module, you will be able to:
- design studies efficiently and effectively
- understand the range of statistical procedures and their appropriate use
- report, visualise, and evaluate findings using advanced statistical method
Assignments / assessment
- weekly quizzes (20%)
- a total of ten quizzes (marked from week 2 - week 1 quiz will be formative)
- short answer assignment (30%)
- carry out analyses based on learning in the module and report these results
- final assignment (50%)
- formulate a hypothesis based on a dataset
- conduct your own analysis to test that hypothesis
- write up the results in a report
This module does not have a final exam.
Teaching methods / timetable
Teaching and learning material are provided via:
- Teaching and learning material are provided via:
- weekly pre-recorded content
- available each week before the next practical session
- weekly practical sessions
- sessions will recap material covered in pre-recorded sessions before covering theory and practical examples in G*Power and JASP
- practical sessions will not be recorded
We will be using JASP in this module. JASP is an open-source statistics interface supported by the University of Amsterdam.
Courses
This module is available on following courses: