Modules

Core Module Information
Module title: Statistical Research Methods
SCQF level: 11:
SCQF credit value: 10.00
ECTS credit value: 5
Module code: SOE11621
Module leader: Megan Crawford
School The Business School
Subject area group: Management
Prerequisites

There are no pre-requisites for this module to be added
Description of module content:

In this module you will learn a selection of scientific approaches to organise and interrogate business-related data. Emphasis is given to data presentation with the purpose of facilitating understanding. The concept of using statistical inference to make judgements and inform decision-making is explained. You will learn how to reduce complex data to relevant variables. The module concludes with an introduction to statistical modelling using linear regression and an overview is given of general linear models. Exploring and describing dataStatistical inference – parametric methods, t-tests, and Analysis of Variance Statistical presentation of dataMultivariate methods – exploratory factor analysis and segmentation methodsStatistical Modelling – OLS regression, general linear models
Learning Outcomes for module:

Upon completion of this module you will be able to

LO1: Demonstrate an understanding of the principles, application, implications, organising and summarising of complex quantitative data

LO2: Critically analyse different forms of data to produce research results

LO3: Critically assess the statistical significance between and within variables

LO4: Apply a systematic understanding and critical awareness of the strengths and limitations of quantitative methods

LO5: Critically interpret, summarise, visualise, and discuss your quantitative research results
Full Details of Teaching and Assessment
2024/5, Trimester 2, Blended,
VIEW FULL DETAILS
Occurrence: 002
Primary mode of delivery: Blended
Location of delivery: CRAIGLOCKHAR
Partner:
Member of staff responsible for delivering module: Megan Crawford
Module Organiser:


Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)NESH Description
Face To Face Lecture 16 The lecture series includes delivered material which translates to practical application of quantitative research techniques. Data collection and analyses are specifically contextualised to your stage of programme and are embedded through practical experiences in the classroom. The first week is a one-day delivery and the second week is a two-day delivery of two 5-hour lectures.
Face To Face Guided independent study 84 You are given directed tasks from both the module and your own supervisory teams which will ensure that the activities align directly with your own research study.
Total Study Hours100
Expected Total Study Hours for Module100


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words Description
Report 100 1~2~3~4~5 Week 13 , WORDS= 2000 The business report will direct you through accessing, cleaning, analysing, and interpreting quantitative data based on an existing organisation. This task applies the fundamentals of quantitative research utilising the latest in statistical software packages. The assessment is due in Tri 3.
Component 1 subtotal: 100
Component 2 subtotal: 0
Module subtotal: 100

Indicative References and Reading List - URL:
Statistical Research Methods
 

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