Research Methods for Applied Psych (930C8)
Research Methods for Applied Psychologists
Module 930C8
Module details for 2025/26.
15 credits
FHEQ Level 7 (Masters)
Module Outline
The module "Research Methods in Applied Psychology" offers a comprehensive survey of the principal research methodologies and strategies prevalent in specialized applied branches of psychology, such as clinical and educational psychology. The module is crafted to accommodate students hailing from a diversity of academic backgrounds, including students with more limited prior exposure to research-focused methods. The module encompasses a broad spectrum of data analytical techniques, including some more conventional frequentist approaches, while placing a concentrated emphasis on analytic methods tailored to research designs and approaches that are commonly used in applied psychology areas. These analytical methods may include longitudinal design and data analysis, analysis of survey-style data, use and analysis of large open-access datasets, understanding, analysing, and interpreting randomized control trials, single-case designs, qualitative analysis approaches, meta-analytical techniques and systematic reviews, and so forth.
Crucially, the course delves into the theoretical and research design underpinning of the data analytical approaches, as well as the practical application of these approaches, utilizing real-world examples and analysis platforms. Pedagogically, the module mixes lectures-based delivery and smaller, in-person group practical sessions.
Full Module Description
The module "Research Methods in Applied Psychology" offers a comprehensive survey of the principal research methodologies and strategies prevalent in specialized applied branches of psychology, such as clinical and educational psychology. The module is crafted to accommodate students hailing from a diversity of academic backgrounds, including students with more limited prior exposure to research-focused methods. The module encompasses a broad spectrum of data analytical techniques, including some more conventional frequentist approaches, while placing a concentrated emphasis on analytic methods tailored to research designs and approaches that are commonly used in applied psychology areas. These analytical methods may include longitudinal design and data analysis, analysis of survey-style data, use and analysis of large open-access datasets, understanding, analysing, and interpreting randomized control trials, single-case designs, qualitative analysis approaches, meta-analytical techniques and systematic reviews, and so forth.
Crucially, the course delves into the theoretical and research design underpinning of the data analytical approaches, as well as the practical application of these approaches, utilizing real-world examples and analysis platforms. Pedagogically, the module mixes lectures-based delivery and smaller, in-person group practical sessions.
Module learning outcomes
Understand and apply statistical analysis techniques relevant to applied psychological research designs.
Design and evaluate empirical approaches to specific applied psychological research questions.
Critically analyse design and data analytical approaches used in published applied psychological research.
Use data-analytical methods and platforms to proficiently analyse data from real-world applied psychological research settings.
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 100.00% | |
| Coursework components. Weighted as shown below. | ||
| Report | T1 Week 11 | 50.00% |
| Problem Set | T1 Week 5 | 24.00% |
| Problem Set | T1 Week 10 | 26.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Autumn Semester | Lecture | 2 hours | 11111111111 |
| Autumn Semester | Workshop | 3 hours | 11111111111 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Dr Henry Hogh
Convenor, Assess convenor
/profiles/130707
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