PSY2010 : Statistics for Experimental Psychology

Semester 1 Credit Value: 10
ECTS Credits: 5.0


To provide an understanding of statistical methods relating to Analysis of Variance and Regression and Correlation. The methods will include parametric and non-parametric techniques and will include appropriate computational methods.

In the modern age advanced analysis and interpretation of data has become universally important. The aim of the course is to enhance levels of both statistical literacy and numeracy. It will enable students to analyse their own experiments and interpret the reports of others.

Outline Of Syllabus

Review of z-tests, t-tests and Non-Parametric Methods for comparing two populations. One Way Analysis of Variance. Design and Analysis of Experiments. Planned Comparisons and Post Hoc Tests. Non-parametric Methods for Comparing Several Populations (Kruskal-Wallis & Friedman). Analysis of Two-factor Experimental Designs. General Analysis of Variance. Correlation, Simple Regression Analysis, Multiple Regression Analysis.
Regression Decision Analysis.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion361:0036:00N/A
Scheduled Learning And Teaching ActivitiesLecture121:0012:00N/A
Scheduled Learning And Teaching ActivitiesPractical122:0024:00Academic hours - practicals are duplicated
Guided Independent StudyIndependent study281:0028:00N/A
Teaching Rationale And Relationship

Practicals enable students to apply statistical methods and provide an opportunity for students to clarify any misunderstandings about the methods taught in the lectures. Calculations are carried out on computers using SPSS and they are intended to enable students to develop their computing skills.

Assessment Methods

The format of resits will be determined by the Board of Examiners

Description Length Semester When Set Percentage Comment
Written Examination1201A80Exam is unseen
Other Assessment
Description Semester When Set Percentage Comment
Prob solv exercises1M5Problem Solving Exercise 1 - See below for further details
Prob solv exercises1M5Problem Solving Exercise 2 - See below for further details
Prob solv exercises1M5Problem Solving Exercise 3 - See below for further details
Computer assessment1M5See below for further details
Assessment Rationale And Relationship

The examination assesses knowledge and understanding of statistical methods and will require an ability to draw on material from throughout the course.

Coursework carried out in the tutorials and continued in the students' own time forms a series of 4 assignments. These assignments carry 20% of the module marks as an indication of the importance of applying the statistical techniques during the learning process.

Reading Lists