FURTHER STATISTICS AND CRITICAL THINKING - 2022/3
Module code: PSY1032
In light of the Covid-19 pandemic the University has revised its courses to incorporate the ‘Hybrid Learning Experience’ in a departure from previous academic years and previously published information. The University has changed the delivery (and in some cases the content) of its programmes. Further information on the general principles of hybrid learning can be found at: Hybrid learning experience | University of Surrey.
We have updated key module information regarding the pattern of assessment and overall student workload to inform student module choices. We are currently working on bringing remaining published information up to date to reflect current practice in time for the start of the academic year 2021/22.
This means that some information within the programme and module catalogue will be subject to change. Current students are invited to contact their Programme Leader or Academic Hive with any questions relating to the information available.
This module follows on from the semester 1 module ‘Introduction to Statistics and Data Analysis (PSY1020)’. It aims to further students’ understanding of statistical methods and foster the skills needed to think critically about psychological research.
ASKEW Chris (Psychology)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 4
JACs code: G310
Module cap (Maximum number of students): N/A
Overall student workload
Workshop Hours: 13
Independent Learning Hours: 94
Lecture Hours: 11
Seminar Hours: 11
Guided Learning: 10
Captured Content: 11
Prerequisites / Co-requisites
Prior completion of PSY1020 Introduction to Statistics and Data Analysis is required
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 repeated measures designs with ANOVA
• Factorial/mixed designs using ANOVA
• Nonparametric tests
• Analysing categorical data
|Assessment type||Unit of assessment||Weighting|
|Coursework||CRITICAL THINKING & QUANTITATIVE STATISTICS ASSIGNMENT (5 PAGES)||100|
The assessment strategy is designed to provide students with the opportunity to demonstrate understanding of both critical thinking and quantitative data analysis.
1. Critical thinking coursework (3 pages worth 25% 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.
Assesses LO 1 and LO 2
2. Exam (a 90-minute, 60 question MCQ exam worth 75% of the module mark)
This assessment is designed to assess the full breadth and depth of both the critical thinking and statistics module content, with questions related to each major topic. Student will have the opportunity to demonstrate their knowledge of theory and subject knowledge, including interpreting output from statistical tests.
Assesses LO 1, LO 2, LO 3 and LO 4
Formative assessment and feedback
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, practised 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 tutorial further supports this in a smaller group that supports interaction from all students.
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 the statistics lectures, students complete MCQ questions and receive immediate feedback to enable them to check their understanding of the module content and become familiar with the format of the exam.
- 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
|001||Evaluate psychological research||CKP|
|002||Construct sound arguments about psychological questions based on a critical analysis of psychological research||CKPT|
|003||Demonstrate understanding of the theory and assumptions underpinning parametric and nonparametric statistical tests||CK|
|004||Demonstrate understanding of statistical analysis using a range of parametric and nonparametric tests, including appropriate usage, interpretation, and reporting of the results||CKP|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Methods of Teaching / Learning
There will be 11 weeks of 2-hour lectures. The principles of quantitative research methods and critical thinking will be presented in combination with practice applying these techniques. Accordingly, there will be a 2-hour hour critical thinking workshop and 12 hours (6 x 2 hours) of statistics workshops.
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.
Upon accessing the reading list, please search for the module using the module code: PSY1032
Programmes this module appears in
|Psychology BSc (Hons)||2||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
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 2022/3 academic year.