Modules

Core Module Information
Module title: Scientific Review and Statistics
SCQF level: 09:
SCQF credit value: 20.00
ECTS credit value: 10
Module code: SES09119
Module leader: Iain Gallagher
School School of Applied Sciences
Subject area group: Sport Exercise and Health Science
Prerequisites

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

In this module you will learn techniques for handling data, analysing data and making decisions based on that analysis. The module content concentrates on quantitative data (i.e. numbers) but there is also some content addressing qualitative data. There is a strong practical component to the module with weekly practicals reflecting the theory content delivered in lectures. As the module progresses we will cover data wrangling using both Excel spreadsheet software and a free statistical analysis package (Jamovi). We will then address some of the theory behind Null Hypothesis Significance Testing (NHST) a popular technique for statistical inference. We will examine the theory and have practicals addressing several NHST techniques (t-tests, ANOVA, linear regression and Chi-square tests). The module will be assessed through 2 class tests and one piece of written coursework.
Learning Outcomes for module:

Upon completion of this module you will be able to

LO1: Understand the basic statistical theory needed to Null Hypothesis Significance Testing (NHST).

LO2: Gain practical experience in the application of several common NHST procedures.

LO3: Use critical analysis skills to critique written academic work relating to aspects of sport, exercise or health.

LO4: Be able to properly report the results of statistical analysis; be able to coherently report a critique of written academic work relating to aspects of sport, exercise or health.

LO5: Be able to work independently to carry out statistical inference using NHST techniques.
Full Details of Teaching and Assessment
2024/5, Trimester 1, In Person,
VIEW FULL DETAILS
Occurrence: 001
Primary mode of delivery: In Person
Location of delivery: SIGHTHILL
Partner:
Member of staff responsible for delivering module: Iain Gallagher
Module Organiser:


Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)NESH Description
Face To Face Lecture 22 The lecture content is designed to help you meet the learning outcomes. We will cover what statistical inference is & why statistical inference is important. The lectures will also cover the theory and application of common NHST procedures for statistical inference.
Face To Face Practical classes and workshops 16 Each practical will address lecture content for a given week. You will have the opportunity to use the techniques you have learned on real datasets and use your knowledge of statistical inference to draw conclusions from your results.
Face To Face Tutorial 1 This tutorial will examine how to critique scientific papers and how to think about the results of a single study.
Online Guided independent study 158 You will independently work towards developing your research and statistical analysis techniques.
Face To Face Seminar 1 This seminar will serve as feedforward guidance for the written assessment. We will discuss what the task is, how long it might take you, what the assessor expects from you and how you can use software (e.g. bibliographic software) to help you with this task.
Total Study Hours198
Expected Total Study Hours for Module198


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words Description
Essay 50 3~4 Week 12 , WORDS= 1500 words You will be expected to review a short (~1500 words) written piece related to some area of sport, health or exercise and critique this for clarity and accuracy of claims. In your critique you are expected to use clear language and back up any arguments you make with properly formatted citations from the primary academic literature.
Class Test 25 1~2~4~5 Week 7 HOURS= 2 hours There will be a class test in week 7 covering the content on data wrangling and statistical theory. This test will be a mixture of written and MCQ answers. The test will examine your ability to use Excel to wrangle data and to report/interpret the results of these procedures.
Class Test 25 1~2~4~5 Week 10 HOURS= 2 hours There will be a class test in week 10 covering the practical application of common statistical techniques and reporting of results. You will be given a dataset and asked to apply the relevant NHST statistical procedures, report the result of these procedures and your conclusions. This test will be a mixture of written and MCQ answers.
Component 1 subtotal: 50
Component 2 subtotal: 50
Module subtotal: 100

Indicative References and Reading List - URL:
SES09119 Scientific Review and Statistics
 

Related information