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PSY-10031 - Module Specification
School of Psychology
Faculty of Natural Sciences

For academic year: 2022/23 Last Updated: 19 January 2023

PSY-10031 - Introduction to statistics for psychology
Coordinator: David Walker Tel: +44 1782 7 34265
Lecture Time: See Timetable...
Level: Level 4
Credits: 15
Study Hours: 150
School Office: 01782 733736

Programme/Approved Electives for 2022/23

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2022/23

Psychology is a hands-on scientific discipline and this 15-credit module is all about getting you ¿doing¿ psychology. It will develop your understanding of psychologically relevant statistical analysis methods, building on research methods content taught in semester 1. Appropriate statistical techniques for analysing data from such designs including Analysis of Variance (ANOVA) and its non-parametric equivalents are introduced, along with some other statistical analysis techniques appropriate for year 1 psychology. Doing research and designing and analysing your own investigations is challenging, interesting and enjoyable. We hope students share this view having completed the module.

Aims
To develop students¿ understanding and ability to use quantitative research methods in psychology
To develop students¿ understanding and ability to use parametric (e.g. analysis of variance) and non-parametric (e.g. chi-squared) statistical tests

Talis Aspire Reading List
Any reading lists will be provided by the start of the course.
http://lists.lib.keele.ac.uk/modules/psy-10031/lists

Intended Learning Outcomes

Describe the concepts of inference, probability, generalisability and reproducibility: 1,2
Identify when and how to calculate inferential statistics appropriately based on given hypotheses and types of data collected: 1,2
Write up the results of a statistical analysis using APA formatting in a lab report: 2
Take part in and experience or write about the practice of experimental design, data collection and data analysis: 2,3

Study hours

36 hours taught (1 hour taught class and 2 hours laboratory classes, weekly)
10 hours of RPT (part of assessment, thus not included in taught hours - 8 hours of participation and 2 hours administration to organise this)
50 hours of group work (asynchronous) designing and conducting research
12 hours preparation for class
30 hours to write/read for report

School Rules

None

Description of Module Assessment

1: Class Test weighted 20%
5 x Continuous fortnightly quiz
As part of laboratory class activities students will sit a continuous assessment of 10-15 item MCQs every fortnight totalling 5, checking understanding of lecture content. These will be delivered via the KLE. The best 4 of the 5 marks will contribute to the student's final grade.

2: Coursework weighted 70%
Project Report
Lab report based on group project work - 1500 words. Students will be encouraged to submit a formative lab report for in person feedback from staff on week 7 this will be based on one of the analyses taught on the module. The feedback will focus on the results and discussion sections as students will be attempting these for the first time.

3: Assignment weighted 10%
Research Participation
Students will complete 8 hours of research participation time OR they will write a 2000 word essay on research methods or ethics.

Please note that for the 2022/23 Academic Year programmes may be adapted to operate in accordance with a flexible, digital approach. This means that there may be some changes made to how modules are delivered and assessed. The latest information will be provided to you by your School in module handbooks. We endeavour to give you as much notice as possible of any changes and details about the circumstance in which changes are made to programmes can be found in the Student Agreement, available at: https://www.keele.ac.uk/student-terms-and-conditions/

Last Updated: 19 January 2023