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


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 data
Statistical inference – parametric methods, t-tests, and Analysis of Variance
Statistical presentation of data
Multivariate methods – exploratory factor analysis and segmentation methods
Statistical Modelling – OLS regression, general linear models

Learning Outcomes for module:

LO1: Demonstrate an understanding of the application, organising and summarising of quantitative data
LO2: Critically assess the statistical significance between and within groups
LO3: Evaluate and apply appropriate data collection methods to your study
LO4: Critically analyse different forms of data to produce research results
LO5: Understand how to construct and diagnose statistical models in research context
LO6: Critically interpret, summarise, visualise, and discuss research results

Full Details of Teaching and Assessment
2023/4, Trimester 2, ONLINE,
Occurrence: 002
Primary mode of delivery: ONLINE
Location of delivery: CRAIGLOCKHAR
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)
Online Seminar 16
Online Guided independent study 84
Total Study Hours100
Expected Total Study Hours for Module100

Type of Assessment Weighting % LOs covered Week due Length in Hours/Words
Report 40 1,2,3 19 HOURS= 00.00, WORDS= 1500
Report 60 4,5,6 21 HOURS= 00.00, WORDS= 3000
Component 1 subtotal: 40
Component 2 subtotal: 60
Module subtotal: 100

Indicative References and Reading List - URL:
Statistical Research Methods