SPE1030 : Research Methods in Practice I

  • Module Leader(s): Prof. James Law
  • Owning School: Education, Communication & Language Sci
Semester 1 Credit Value: 10
ECTS Credits: 5.0


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.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Scheduled Learning And Teaching ActivitiesLecture101:0010:00N/A
Guided Independent StudyAssessment preparation and completion120:0020:00N/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.

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.

Reading Lists


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