Last modified: 31 May 2022 13:05
This course introduces students to fundamental concepts and methods in psychological research and data analysis. Lectures cover distributions and probability, null hypothesis significance testing, t-tests, chi-square tests, and correlations. Practical classes involve the application of these methods to research examples from different areas of psychology, using the statistical software package SPSS.
|Session||First Sub Session||Credit Points||15 credits (7.5 ECTS credits)|
This course aims to introduce students to a broad range of methods used in psychological research. Lectures cover fundamental statistical concepts and statistical tests that are applied in the weekly practical classes. Practical classes involve students working in small groups to design studies, analyse data, and write a practical report.
Information on contact teaching time is available from the course guide.
30% Exam (30 Multiple Choice Questions with focus on conceptual issues from Methods lectures)
6 x 5% Multiple Choice Questions Quizzes
10% Group Presentation
Alternative Resit Assessment
There are no assessments for this course.
|Knowledge Level||Thinking Skill||Outcome|
|Procedural||Apply||Students will be able to clearly communicate findings from analysing data.|
|Conceptual||Understand||Students will be able to understand the different statistical methods used to analyse data in psychology.|
|Procedural||Create||Students will be able to design a study to address a specific research question.|
|Procedural||Apply||Students will be able to apply the appropriate statistical method for different study designs.|
|Factual||Understand||Attain knowledge of the general principles of psychological research and the most common elementary designs of qualitative analysis and statistical methods for used in practicals and research projects|