Module title: Quantitative Research

SCQF level: 08:
SCQF credit value: 20.00
ECTS credit value: 10

Module code: SSC08108
Module leader: Stephanie Fohring
School School of Applied Sciences
Subject area group: Social Science

To study this module you will need the learning equivalent to the module listed or have passed this module

SSC07103 Understanding Social Science Research
Examples of Equivalent Learning :
Introductory research methods and statistics (SCQF level 7)

2019/0, Trimester 1, FACE-TO-FACE,
Occurrence: 001
Primary mode of delivery: FACE-TO-FACE
Location of delivery: SIGHTHILL
Member of staff responsible for delivering module: Stephanie Fohring
Module Organiser:

Learning, Teaching and Assessment (LTA) Approach:
There will be a weekly 2-hour lecture, which for the first half of the module will cover research design and methods (LOs 1-3). The second half of the module will cover statistical techniques relevant to the social sciences (LOs 4-6). Research design lectures will be supported by weekly tutorials (LOs 1-3), which will allow for further discussion of issues covered in lectures, as well as group activities designed to prepare students for conducting original research. Lectures in the second half of the module will cover statistical techniques and will be complimented by weekly SPSS workshops. These workshops will give students hands-on practice of analysing data using SPSS and using statistical techniques discussed in lectures. Moodle will also be used to enhance learning on the module (e.g. video tutorials of SPSS procedures).

Formative Assessment:
Formative assessment will take place in lectures, tutorials and labs on weekly tasks relating to the summative assessment.

Summative Assessment:
Summative Assessment will be a group research project (LOs 1-5) weighted at 100%. Groups will be assessed by means of a written report of 4000 words total, with each student responsible for 1000 words.
This project will require groups to identify a research question and relevant testable hypotheses, collect and analyse data, and write a results report. Time in both lectures and tutorials will be dedicated to supporting students in this activity.
In order to address any concerns around group work, you will be required to submit, as an appendix to the assessment, a log of group meeting attendance and work carried out by each individual member, meaning individual grades can be adjusted by the module leader if deemed necessary (i.e. if a certain student does not participate). A clear set of criteria will be used to assess individual participation.

Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)
Face To Face Lecture 22
Face To Face Tutorial 6
Face To Face Practical classes and workshops 5
Independent Learning Guided independent study 167
Total Study Hours200
Expected Total Study Hours for Module200

Type of Assessment Weighting % LOs covered Week due Length in Hours/Words
Report 100 1,2,3,4,5,6 13 HOURS= 00.00, WORDS= 1000
Component 1 subtotal: 100
Component 2 subtotal: 0
Module subtotal: 100

Description of module content:

This module is designed to help you gain practical experience of planning and executing quantitative research. In particular, you will learn how to design quantitative research and how to analyse data using basic statistical techniques. You will gain practical experience of designing a questionnaire, collecting and analysing data. The content of this module is demanding, but also rewarding. The strong emphasis on “learning by doing” aims to provide a firm framework within which to develop skills such as project planning, report writing, and oral communication that should prove highly transferable with respect to your future career.

Learning Outcomes for module:

LO1: Describe the steps in planning and executing a research project in the social sciences
L02: Evaluate the strengths and weaknesses of a range of research designs
L03: Apply appropriate methodologies to answer a research question
LO4: Evaluate strengths and weaknesses of a range of quantitative techniques
LO5: Describe data using appropriate graphs and descriptive statistics
LO6: Select the appropriate statistical test for use on different types of quantitative data

Indicative References and Reading List - URL:
Contact your module leader