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PSY20160

Academic Year 2024/2025

Research Methods & Stats II (PSY20160)

Subject:
Psychology
College:
Social Sciences & Law
School:
Psychology
Level:
2 (Intermediate)
Credits:
5
Module Coordinator:
Dr Brendan Rooney
Trimester:
Autumn
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

This module is designed to develop students' understanding of common methods in psychological research, with an additional focus on critiquing psychological research. The module will teach students why, when and how to use common methods and statistical techniques in psychology. The module will cover both descriptive and inferential statistics. It will cover both parametric and non-parametric tests for comparing two or more groups or conditions. Over the course of the module students will practice these techniques by hand and using common software analysis tools. The key focus of the module is the interpretation of findings from these techniques. To facilitate learning, in-class examples are used throughout the trimester.

About this Module

Learning Outcomes:

On completion of this module students should be able to:
1. Identify and critique common research designs.
2. Specify methods of analysis appropriate to different research designs.
3. Conduct an appropriate statistical analysis for research designs with K = 2/K > 2 levels of the independent variable.
4. Carry out appropriate multiple comparison analyses when necessary.
5. Prepare an appropriate interpretation of the findings from statistical analysis that demonstrates a critical understanding of the material.

Note on academic integrity: Students are not permitted to use AI tools to generate text, calculations, answers or parts of answers to assessments for this module.

Indicative Module Content:

Null Hypothesis Testing, Non-paramtric tests, Confidence Intervals, t-tests, ANOVA, post hoc multiple comparisons.

Student Effort Hours:
Student Effort Type Hours
Specified Learning Activities

25

Autonomous Student Learning

73

Lectures

20

Seminar (or Webinar)

4

Total

122


Approaches to Teaching and Learning:
Research design and statistical analysis is a skill, akin to learning a language or a physical technique, rather than some “correct” information that you should know. For this reason, students’ skill is practiced over the course of the module. Students need to be prepared for a career where they can adapt their analyses to suit different research design and topic contexts. Key tests are presented in specific examples and students are required to continuously practice these with different examples to build up their skills. As we move through the content in the module, later topics will build on the skills of earlier topics and so students will benefit from working hard in the earlier weeks so refine skills in later weeks. As with other skill development, exposure, repetition, feedback, discussion, group-work, and participation are encouraged/required for students to achieve the learning outcomes for this module.

Requirements, Exclusions and Recommendations
Learning Recommendations:

PSY10100


Module Requisites and Incompatibles
Equivalents:
Intermediate Analysis and Desi (PSY30100)


 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Quizzes/Short Exercises: The module will include a number of worksheet activities that are completed either in class or online. Week 2, Week 3, Week 4, Week 5, Week 6, Week 7, Week 8, Week 9, Week 10, Week 11, Week 12 Alternative linear conversion grade scale 40% No
40
No
Exam (Open Book): Case study type questions - some notes and non-programmable calculators are permitted. Cambridge tables provided. End of trimester
Duration:
2 hr(s)
Graded No
60
No

Carry forward of passed components
Yes
 

Resit In Terminal Exam
Spring Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, on an activity or draft prior to summative assessment
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Peer review activities
• Self-assessment activities

How will my Feedback be Delivered?

Solutions and feedback are provided in class on participation activities. These allow for self/peer assessment. Individual comments will be provided on some targetted participation activities. All learning from participation activities is applied in the end-of-semester exam.

Name Role
Mr Andrew Woods Lecturer / Co-Lecturer

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
Autumn Lecture Offering 1 Week(s) - 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12 Wed 14:00 - 15:50