QUANTITATIVE METHODS I - 2020/1
Module code: MAND028
In light of the Covid-19 pandemic the University revised its courses to incorporate the ‘Hybrid Learning Experience’ in a departure from previous academic years and previously published information. The University 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 updated key module information regarding the pattern of assessment and overall student workload to inform student module choices. Further information on changes made to modules during the 2020/21 academic year can be found here: https://www.surrey.ac.uk/coronavirus/course-changes-old
Due to the volume of changes made during the 2020/21 academic year this means that some information within the programme and module catalogue had been amended. Please ensure that you are viewing your modules alongside the module changes page. If you have any queries you are invited to contact the relevant Programme Leader or Academic Hive with any questions relating to the information available.
This course provides students with the required methodological and statistical skills needed to conduct quantitative research. It deals with the basic concepts and techniques that underpin scientific research in the management sciences. This unit combines both questions about how to do proper research to answer a research question (such as the appropriate data collection methods) and how to analyse these data (statistical analysis and qualitative analysis).
Surrey Business School
KREUZBAUER Robert (SBS)
Number of Credits: 0
ECTS Credits: 0
Framework: FHEQ Level 8
JACs code: N300
Module cap (Maximum number of students): N/A
Overall student workload
Prerequisites / Co-requisites
- Basics of quantitative methods
- Elementary probability theory
- Simple linear regression
- Multiple regression analysis-estimation
- Multiple regression analysis-inference
- Multiple regression with nominal data
- Diagnosis and fixing problems
|Assessment type||Unit of assessment||Weighting|
|Coursework||ASSESSMENT (AS.1)-SURVEY DESIGN ESSAY (4 PAGES)||Pass/Fail|
|Coursework||ASSESSMENT (AS.2)-EMPIRICAL RESEARCH PROJECT (3,000 - 4,000 WORDS)||Pass/Fail|
The assessment strategy is designed to provide students with the opportunity to demonstrate their learning and achievement of the unit’s learning outcomes. Both the formative and summative assessments enable the achievement of the learning outcomes. The regular class participation and feedback enhance students’ learning and support their preparation and delivery of the two elements of summative assessment. These are outlined below.
Formative assessment will comprise an ongoing feature of this unit. Students will actively engage in taught sessions and prepare for these via guided readings, discussion topics and other preparatory work issued by the instructor. These will be important for students and will facilitate their critical thinking and applied skills development, as well as enhance their learning and preparation for the three summative assessment elements.
The summative assessment for this unit consists of:
- Assessment 1: Survey Design Essay.
- Assessment 2. Empirical Research project (3,000-4,000 words).
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Methods of Teaching / Learning
The learning and teaching strategy is designed to support and achieve the learning outcomes. The learning and teaching methods include class contact sessions which are highly interactive in nature, class discussion, preparatory reading, verbal student presentations, student-led reviews of readings, practical activities, scenario discussion, and individual written assignments.
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: MAND028
Programmes this module appears in
|Management and Business PHD||2||Compulsory||Each unit of assessment must be passed at 50% 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 2020/1 academic year.