EXPERIMENTAL METHODS FOR BEHAVIOURAL SCIENCE - 2018/9
Module code: MAND038
This unit focuses on experimental methods for behavioural science using SAS (JMP) and Stata.
The course focuses on a combination of:
• Learning about how to test research questions with experimental methods
• Learning how to design experiments
• How to run the experiment
• How to analyse and interpret the findings
No knowledge of SAS or Stata is required, but participants are expected to have knowledge of statistics, including regression analysis (see Advanced Statistical Analysis).
Surrey Business School
KREUZBAUER R Dr (SBS)
Number of Credits: 0
ECTS Credits: 0
Framework: FHEQ Level 8
JACs code: C861
Module cap (Maximum number of students): N/A
Prerequisites / Co-requisites
Session 1: Introduction to experimental methods in behavioural research
Session 2: Different types of experiments and experimental designs
Session 3: How to design experiments to examine specific research questions
Session 4. Analysing data (mainly with general-linear model for moderation, mediation, moderated mediation and mediated moderation)
Session 5. Strategies to improve efficiency when conducting experiments
|Assessment type||Unit of assessment||Weighting|
|Coursework||DAILY EXERCISES (3 IN TOTAL)||30|
|Examination||FINAL EXAM PAPER||70|
The assessment strategy is designed to provide students with the opportunity to demonstrate
• Their knowledge and understanding of experiments in behavioural science
• Their ability to design their own experiments.
Thus, in line with domain A’s LO, the summative assessment for this unit consists of:
• Daily exercises (30%) enabling the students to show and practice their acquired knowledge;
• A final exam paper (70%) enabling the student to show their ability to develop and interpret their own experiments.
Students will be formatively assessed through exercises in class and in the lab session with direct feedback.
Students will be provided feedback on their daily exercises.
Feedback will be provided individually on their final exam paper.
- Introduce students to experimental research methods
- Ensure that they understand how to run and analyse the findings
|001||Understand which research questions can be examined with experimental methods||K|
|002||How to design an experiment and collect and analyse the data with statistical software||K|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Overall student workload
Lecture Hours: 20
Methods of Teaching / Learning
The learning and teaching strategy is designed to:
• understand experiments for behavioural research including: quasi experiments, factoral designs
• give students an in-depth experience with how to design experiments
• enabling them to learn to do basic statistical analysis with SAS and Stata,
• ensure that students can set up their own experiments.
The learning and teaching methods include:
• Pre-lecture reading
• Lectures with exercises
• Lab sessions with data analysis
• Post-lecture exercises
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 for EXPERIMENTAL METHODS FOR BEHAVIOURAL SCIENCE : http://aspire.surrey.ac.uk/modules/mand038
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 2018/9 academic year.