Surrey University Stag


Module code: PSYM148

Module Overview

This module follows on from the semester 1 module Statistics and Data Analysis for the MSc in Psychology (Conversion) (PSYM094). It aims to further students’ understanding of statistical methods and foster the skills needed to think critically about psychological research. Teaching involves a combination of theory lectures and practical workshops with real world research examples. Each week, lectures cover a specific intermediate statistics or critical thinking topic. This is followed by a workshop or tutorial that typically focuses on applying and practicing the theoretical content of the preceding lecture. Together, lectures and workshops provide knowledge of intermediate statistical analysis and critical thinking from both a theoretical and practical perspective.

Module provider


Module Leader

ASKEW Chris (Psychology)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 7

JACs code:

Module cap (Maximum number of students): N/A

Overall student workload

Workshop Hours: 12

Independent Learning Hours: 82

Lecture Hours: 22

Tutorial Hours: 1

Guided Learning: 11

Captured Content: 22

Module Availability

Semester 2

Prerequisites / Co-requisites

Prior completion of the Semester 1 module, Statistics and Data Analysis for the MSc in Psychology (Conversion) (PSYM094)

Module content

The weekly lectures and workshops will cover theory and practice and related to the following indicative topic areas:

• Identifying and evaluating critical arguments

• Evaluating theory & evidence

• Constructing critical arguments

• Analysing data with one-way ANOVA

• Factorial/mixed designs using ANOVA

• Nonparametric tests

• Analysing categorical data

Assessment pattern

Assessment type Unit of assessment Weighting

Alternative Assessment


Assessment Strategy

The summative assessment strategy is designed to provide students with the opportunity to demonstrate understanding of both critical thinking and quantitative data analysis.

1.Quantitative coursework (3 pages worth 50% of the module mark)
This assignment has been designed to assess competence in test selection in relation to data evaluation, use of jamovi, and writing results in the formal style used in psychology. These are critical skills for employability and improving digital capabilities. 

 2. Critical thinking coursework (3 pages worth 50% of the module mark). This assignment has been designed to provide students with the opportunity to demonstrate their skill in constructing a sound argument about a psychological question based on a critical evaluation of research. These are essential skills in the workplace. 



Formative assessment and feedback

Weekly statistics workshops consist of a worksheet and data sets to analyse. Students receive feedback on their progress via a feedback sheet of worked solutions. In addition, workshop tutors provide individualised verbal guidance and feedback during the sessions. In statistics lectures, students regularly complete multiple choice questions and receive immediate feedback to enable them to check their understanding of the module content .

The module contains a high level of discussion about analysing psychological research and using it to answer psychological questions. Through this, good critical thinking is modelled by the lecturer, practiced by the students and continual feedback is given about how their arguments in classroom discussion map onto the standards of critical thinking outlined in the lectures. The tutorials further support this in a smaller group that supports interaction from all students .

Formative practice and feedback in workshops and tutorials encourages students to develop independence, digital capabilities, resourcefulness and resilience.    

Module aims

  • Enable students to develop sound arguments based on critical evaluation of psychological research
  • Provide students with the knowledge and skills to analyse quantitative data sets
  • Enable students to correctly interpret and present statistical results
  • Introduce students to the critical evaluation of psychological research

Learning outcomes

Attributes Developed
002 Demonstrate evaluation of psychological research in tutorials and coursework KCP
003 Demonstrate in the critical thinking coursework assignment the ability to construct sound arguments about psychological questions based on a critical analysis of psychological research KCPT
004 Demonstrate in workshops and coursework an understanding and application of the theory and assumptions underpinning a range of parametric and nonparametric statistical tests KCT
005 Demonstrate an understanding of how to interpret the results of statistical tests and appropriate reporting of results in workshops and the coursework assignment KCT
001 Be able to understand and evalute psychological research KCPT

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Methods of Teaching / Learning

There will be 7 weeks of 2-hour statistics lectures and 4 weeks of 2-hour critical thinking lectures.

The principles of quantitative research methods and critical thinking will be presented in combination with practice applying these techniques. Accordingly, there will be 6 weeks of 2-hour statistics workshops and 1 week of 1-hour critical thinking tutorials. 

Weekly lectures cover statistical theory and critical thinking as well as how to use jamovi to run statistical analyses. The workshops/seminars that follow lectures provide students with practice applying these techniques. This is to enable students to not only understand the theory behind statistical testing but also how to enter data they are given into jamovi, select and conduct appropriate statistical tests using jamovi, and interpret the results. These skills will also be essential for other modules; in particular the 'with Research Methods' modules and the final dissertation project. Students will find the critical thinking skills they develop on the module are applicable to all other modules on the programme as well as later in the workplace. 

Sessions are interactive  and students are supported in workshops and seminars by tutors who can answer questions and give formative feedback on work. Students in statistics workshops receive written feedback sheets and can show their work to their workshop tutors to receive formative verbal feedback. Readings are set each week from the core text book and students are expected to have done the reading before attending the workshop/seminar. 

Students are taught in lectures and workshops how to use jamovi software, an open-source statistical analysis software package. They are given the opportunity and support to develop their digital literacy and acquire transferable skills, including critical thinking and evaluation, creating and using data spreadsheets, and data analysis. Thus the module contributes to building student independence, employability and digital capabilities. 

Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.

Reading list
Upon accessing the reading list, please search for the module using the module code: PSYM148

Other information

The School of Psychology is committed to developing graduates with strengths in Employability, Digital Capabilities, Global and Cultural Capabilities, Sustainability and Resourcefulness and Resilience. This module is designed to contribute to this in the following ways:


This module contributes to graduate employability by giving students the opportunity to develop and practice transferable skills that will be attractive to employers. These skills and capabilities include critical thinking, designing research, data analysis and interpretation, and using a statistical software package. Students will be familiar with descriptions of data, categorisation of data and basic statistical terminology, and will be able to demonstrate understanding and critical evaluation of basic research design, research methodology, and interpretation of findings. A freely available, open source statistical package is used on the module so that students can continue to use it for work after their studies.

Digital capabilities

Students have multiple opportunities to develop their digital capabilities, including using the university of Surrey Virtual Learning Environment (SurreyLearn) to access lecture materials, worksheets, data, videos and quizzes, as well as completing workshop worksheets and assignments using statistical analysis software. In particular, the weekly computer lab workshops offer an excellent opportunity to develop digital literacy by providing a supportive learning environment to develop and practice data analysis skills using jamovi statistical software.

Resourcefulness and resilience

The weekly workshops and assessments play an important role in developing students’ resourcefulness and resilience. In statistics workshops/assessment, students are given example studies and data sets and are required to determine the most appropriate method of statistical analysis to address the research aims and hypotheses. In the critical thinking assessment, students are required to critically evaluate the research methods used in real-world examples of published research. The supported completion of weekly worksheets gives students better understanding and confidence with statistics, leading to increased independence and resilience.  

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2023/4 academic year.