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Module

HSS8005 : Introduction to Quantitative Analysis

  • Offered for Year: 2021/22
  • Module Leader(s): Dr Jen Tarr
  • Lecturer: Dr Lee Fawcett, Dr Rachel Carr, Dr Nick Riches, Dr Steve Humble
  • Owning School: HASS Faculty Office
  • Teaching Location: Newcastle City Campus
Semesters
Semester 2 Credit Value: 20
ECTS Credits: 10.0

Aims

This module aims to develop students’ understanding of the general principles of quantitative data analysis in addition to training students in the use of a statistical software package. Students will learn basic statistical techniques used in the social sciences and humanities, with options to take more advanced streams later in the course.
- Students will be introduced to the concepts underlying the statistical analysis of quantitative data in the social sciences and humanities
- Students will learn about statistical techniques for analysis of cross-sectional data
- Students will develop a critical understanding of the statistical methods they will learn about
- Students will learn about and use a common statistical software package.
- Optional streams may include: multivariate analysis, spatial analysis, quantitative linguistics, longitudinal analysis.

Outline Of Syllabus

The syllabus comprises the following elements:
Overview of quantitative research, variables, and introduction to statistical package
Descriptive statistics
Presenting data visually
Inferential statistics, populations and sampling
Comparing means
Correlation
Linear regression

Optional Streams may vary but in the past have included Multivariate Analysis, Longitudinal Analysis, Geographical Information Systems, and Quantitative Linguistics.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion1401:00140:00Independent assessment preparation
Scheduled Learning And Teaching ActivitiesLecture102:0020:00Lecture/drop in Q&A sessions
Guided Independent StudyDirected research and reading201:0020:00Online content
Scheduled Learning And Teaching ActivitiesWorkshops201:0020:00Computer lab
Total200:00
Teaching Rationale And Relationship

The module uses a blended learning approach, providing online lectures, activities, readings, and tasks. Online lectures are used to introduce and guide students through statistical concepts and principles, as well as the critical engagement aspects (i.e. identifying and critically assessing how statistics are used in the social sciences). Lectures will be supplemented by readings and practical tasks and activities. Here, students will be able to further explore concepts and principles, and test their knowledge with regular and varied short answer and multiple choice questions. These tasks are computerised and automated and will provide regular feedback and suggestions for further review.

The emphasis of the module will be on the development of practical skills in applying quantitative data analysis, and practical tasks will be foregrounded, including statistical software training via online videos and supervised lab sessions.

Assessment Methods

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

Other Assessment
Description Semester When Set Percentage Comment
Report2A553000 word report
Written exercise2A451500 word essay based on stream choice
Assessment Rationale And Relationship

Students will have the option to choose from two different questions for the report, which are either practical SPSS based assessments or a critical analysis of two published journal articles. The choice of assessment is based on how you intend to use quantitative methods in your research.

The written exercise component will vary according to your stream option.

Reading Lists

Timetable