Module Catalogue 2018/19

SPE1030 : Research Methods in Practice I (Inactive)

  • Inactive for Year: 2018/19
  • Module Leader(s): Professor James Law
  • Owning School: Education, Communication & Language Sci
  • Teaching Location: Newcastle City Campus
Semester 1 Credit Value: 10
ECTS Credits: 5.0
Pre Requisites
Pre Requisite Comment


Co Requisites
Co Requisite Comment



1.To introduce students to the principles of data analysis and experimental design and provide them with an introduction to statistics.
2. To show students how to describe and analyse data systematically.
3. To demonstrate to students how to formulate hypotheses and use data to evaluate those hypotheses.

Outline Of Syllabus

Basic experimental design, hypothesis testing, descriptive statistics, distributions, elementary statistics, chi squared, Fisher exact, Wilcoxon, Wilcoxon-Mann Whitney, t tests, tests of association, nonparametric analyses, Introduction to statistical packages. Deciding how to choose a test.

Learning Outcomes

Intended Knowledge Outcomes

Understanding of and ability to use basic descriptive statistics
Understanding of inferential versus correlational statistics and tests
Understanding of one factor experimental design.
Understanding of one factor statistical techniques
Understanding of and ability to use a range of parametric and nonparametric tests

Intended Skill Outcomes

1. Ability to choose appropirate statistical tests
2. Ability to use an Excel workbook to statistically analyse data
3. Ability to interpret the results of statistical testing
4. Ability to express the results of experiments succinctly and correctly

Graduate Skills Framework

Graduate Skills Framework Applicable: Yes
  • Cognitive/Intellectual Skills
    • Critical Thinking : Assessed
    • Data Synthesis : Assessed
    • Active Learning : Present
    • Numeracy : Present
    • Information Literacy
      • Use Of Computer Applications : Assessed
  • Self Management
    • Planning and Organisation
      • Decision Making : Assessed
    • Personal Enterprise
      • Initiative : Present
      • Independence : Present
      • Problem Solving : Assessed
      • Adaptability : Present
  • Interaction
    • Communication
      • Written Other : Assessed
  • Application
    • Occupational Awareness : Present

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion120:0020:00N/A
Scheduled Learning And Teaching ActivitiesLecture101:0010:00N/A
Scheduled Learning And Teaching ActivitiesPractical141:0014:00N/A
Guided Independent StudyIndependent study156:0056:00N/A
Teaching Rationale And Relationship

Lectures introduce the concepts and methods
Statistical analysis is practiced over a series of computer-based practical classes using an Excel workbook for basic statistical analysis.

Reading Lists

Assessment Methods

The format of resits will be determined by the Board of Examiners

Description Length Semester When Set Percentage Comment
Written Examination1201A100Class test.
Assessment Rationale And Relationship

Tests directly the skills taught in the course, requiring students to choose, implement and interpret appropriate statistical tests for data analysis.


Past Exam Papers

General Notes


Disclaimer: The information contained within the Module Catalogue relates to the 2018/19 academic year. In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described. Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, and student feedback. Module information for the 2018/19 entry will be published here in early-April 2018. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.