PSY30350 Research Methods & Stats III

Academic Year 2021/2022

This module is designed to introduce students to advanced methodological and statistical techniques. Techniques include qualitative data analysis, non-parametric tests, complex designs, Two-Way ANOVA, tests of simple effects for interaction and mixed methods designs. To facilitate learning, in-class manual calculations and examples of computer-based analyses are used throughout the trimester. The emphasis is on understnading the nature and role of complex designs and the interpretation of data within a psychological context.

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Curricular information is subject to change

Learning Outcomes:

On completion of this module students should be able to:
1. Conduct and critically evaluate an example of qualitative data analysis.
2. Choose an appropriate non-parametric technique, analyse and interpret data using these techniques.
3. Demonstrate an understanding a complex design, including the implications of an interaction effect and the type of interaction.
4. Conduct a two-way non-repeated ANOVA and interpret findings.
5. Interpret a statistically significant two-way ANOVA using Tests of Simple Effects and/or multiple comparison procedures.

Student Effort Hours: 
Student Effort Type Hours
Lectures

20
Tutorial

3
Seminar (or Webinar)

4
Specified Learning Activities

20
Autonomous Student Learning

78
Total

125
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:

PSY20160 Research Methods & Statistics II


Module Requisites and Incompatibles
Pre-requisite:
PSY20160 - Research Methods & Stats II, PSY30100 - Intermediate Analysis and Desi

Additional Information:
Pre-requisites: one of the listed modules.

Equivalents:
Advanced Analysis and Design (PSY40010)


 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Assignment: Conduct and report a short analysis of qualitative data Week 5 n/a Graded No

30
Portfolio: Participation portfolio Throughout the Trimester n/a Alternative linear conversion grade scale 40% No

30
Examination: Assessment on statistical analyses 2 hour End of Trimester Exam No Standard conversion grade scale 40% No

40

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, post-assessment
• Group/class feedback, post-assessment
• Peer review activities
• Self-assessment activities

How will my Feedback be Delivered?

Individual feedback on mid-semester assignment is provided online. Solutions and feedback are provided in class on participation activities. These allow for self/peer assessment. All learning from participation activities is applied in the end-of-semester exam.

Name Role
Dr Brendan Rooney Lecturer / Co-Lecturer