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Module

PSY3048 : Advanced statistics for Empirical Psychology

  • Offered for Year: 2021/22
  • Module Leader(s): Dr Kevin Wilson
  • Lecturer: Dr Gareth Richards
  • Owning School: Psychology
  • Teaching Location: Newcastle City Campus
Semesters
Semester 1 Credit Value: 10
ECTS Credits: 5.0

Aims

To provide an understanding of advanced statistical methods relating to regression and the design of experiments. To develop an appreciation of the importance of good research designs.

In the era of big data the analysis and interpretation of data, and the ethical issues surrounding data, are vital. The aim of the module is to provide the students with advanced analytical skills which will benefit them in emprical psychology and beyond. It will enable students to plan and analyse their own experiments and critically evaluate the results of others.

This module will be of particular benefit to those students looking to move into further study (e.g. MSc) or a research career. More generally, the advanced statistical techniques covered will enhance student employability outside the field of psychology.

Outline Of Syllabus

Recap of multiple regression

Advanced regression techniques: generalised linear models, logistic regression, hierarchical models, mixed effects models, mediation and moderation

Design of experiments: power calculations, effect size, random block designs

Ethical considerations in research design, formulating research questions, non-experimental research designs

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Scheduled Learning And Teaching ActivitiesLecture111:0011:00Present in person
Guided Independent StudyAssessment preparation and completion138:0038:00N/A
Scheduled Learning And Teaching ActivitiesPractical102:0020:00Present in person
Guided Independent StudyIndependent study131:0031:00N/A
Total100:00
Teaching Rationale And Relationship

Lectures lay the foundations of the statistical techniques.

Practical sessions 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.

If the public health situation requires a pivot to remote learning, then teaching will be delivered remotely.

Assessment Methods

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

Exams
Description Length Semester When Set Percentage Comment
Written Examination901A80Statistical exam (6 questions); unseen, present in person
Other Assessment
Description Semester When Set Percentage Comment
Prob solv exercises1M20Exercise will take between 2 - 3 hours to complete.
Formative Assessments
Description Semester When Set Comment
Prob solv exercises1MFormative problem solving exercises using questions similar in format to the other assessments
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 practicals and continued in the students' own time takes the form of a problem solving exercise. This exercise carries 20% of the module marks as an indication of the importance of applying the statistical techniques during the learning process.

The examination will assess the students’ ability to explain the principles underlying statistical methods and perform statistical analyses in regression and design of experiments. The assignment will assess the students’ ability to select the correct method of analysis and allow them to demonstrate skills in SPSS.

Formative feedback will be provided on non-assessed questions which are similar in format to the examination questions.

Reading Lists

Timetable