PSY2010 : Statistics for Empirical Psychology
PSY2010 : Statistics for Empirical Psychology
- Offered for Year: 2026/27
- Module Leader(s): Dr Daniel Henderson
- Owning School: Psychology
- Teaching Location: Newcastle City Campus
Semesters
Your programme is made up of credits, the total differs on programme to programme.
| Semester 1 Credit Value: | 10 |
| ECTS Credits: | 5.0 |
| European Credit Transfer System | |
Pre-requisite
Modules you must have done previously to study this module
Pre Requisite Comment
Either PSY1010 AND PSY1011 or MAS1608
Co-Requisite
Modules you need to take at the same time
Co Requisite Comment
None
Aims
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 t-tests and Non-Parametric Methods for comparing two populations. One-Way and Two-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). Correlation, Simple Regression Analysis, Multiple Regression Analysis.
Learning Outcomes
Intended Knowledge Outcomes
Students will be able to:
Recognise practical situations in which the methods of Analysis of Variance, Correlation and Regression are appropriate.
Explain the broad principles underlying these statistical methods.
Select the correct method of analysis to suit the circumstances of an investigation.
Intended Skill Outcomes
Students will be able to:
Perform statistical analyses relating to problems in Analysis of Variance, Correlation and Regression by hand or using a computer package to carry out the analysis.
Demonstrate skills in the use of the SPSS statistics program.
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Scheduled Learning And Teaching Activities | Lecture | 11 | 1:00 | 11:00 | Present in person |
| Guided Independent Study | Assessment preparation and completion | 34 | 1:00 | 34:00 | N/A |
| Scheduled Learning And Teaching Activities | Practical | 10 | 2:00 | 20:00 | Present in person |
| Scheduled Learning And Teaching Activities | Drop-in/surgery | 1 | 1:00 | 1:00 | Present in person |
| Guided Independent Study | Independent study | 34 | 1:00 | 34:00 | N/A |
| Total | 100:00 |
Teaching Rationale And Relationship
Practical materials 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 both by hand and on computer using SPSS and they are intended to enable students to develop their computing skills. The lectures will provide the students with worked examples and theory which they will then apply in the practical sessions.
There will be continuous formative practice offered throughout the semester, much of which is in the Numbas platform, allowing for instant feedback to students.
Reading Lists
Assessment Methods
The format of resits will be determined by the Board of Examiners
Exams
| Description | Length | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|---|
| Written Examination | 120 | 1 | A | 80 | 7 questions (5 short, 2 long), unseen, present in person |
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Computer assessment | 1 | M | 10 | Approx 3 questions via Numbas |
| Computer assessment | 1 | M | 10 | Approx 3 questions via Numbas |
Formative Assessments
Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.
| Description | Semester | When Set | Comment |
|---|---|---|---|
| Computer assessment | 1 | M | Approx 3 questions via Numbas prior to the first summative computer assessment |
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. In the case an in-person exam is not possible, a fall back “virtual” exam will replace it.
The computer assessments will be equally spaced across the semester to help to avoid over-assessment of the students at the end of the semester in week 9. Each computer assessment will be in the online platform Numbas, will be relatively short, and will contain by hand calculation, SPSS work and short discursive work. The formative computer assessment will take place prior to the first assessed computer assessment, to provide the students with feedback before the first weight carrying assessment.
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- PSY2010's Timetable
Past Exam Papers
- Exam Papers Online : www.ncl.ac.uk/exam.papers/
- PSY2010's past Exam Papers
General Notes
N/A
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Disclaimer
The information contained within the Module Catalogue relates to the 2026 academic year.
In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described.
Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, staffing changes, and student feedback. Module information for the 2027/28 entry will be published here in early-April 2027. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.