HSS8005 : Quantitative Analysis

• Offered for Year: 2022/23
• Module Leader(s): Dr Jen Tarr
• Co-Module Leader: Dr Lauren Ackerman, Dr Emily Clough
• Owning School: HASS Faculty Office
• Teaching Location: Newcastle City Campus
Semesters
 Semester 2 Credit Value: 20 ECTS Credits: 10.0

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Aims

This module aims to develop studentsâ€™ understanding of the general principles of quantitative data analysis, in addition to training them in the use of a statistical software package.
- Students will be introduced to the concepts underlying the statistical analysis of quantitative data in the social sciences and humanities;
- Students will develop a critical understanding of the statistical methods they learn about;
- Students will learn about and use a common statistical software package.

Outline Of Syllabus

The module will begin and end with sessions that set out the importance of developing a critical understanding of statistics and of quantitative research more broadly. Data management and data visualisation will also be discussed. Students will then follow one of two pathways.

The Introductory pathway is suitable for those with little to no prior experience with quantitative methods and introduces key concepts such as variables and descriptive statistics before moving on to inferential statistics and introducing basic statistical tests for two variables including comparing means, correlation and linear regression.

The Intermediate pathway is suitable for students who have an understanding of the topics covered in the introductory pathway, and covers more advanced modes of regression analysis and the generalised linear model.

Learning Outcomes

Intended Knowledge Outcomes

On completion of the module, students will be able to:
- Apply appropriate statistical technique to the analysis of data;
- Understand, summarise, and present data in the most appropriate form;
- Interpret results of statistical tests and demonstrate an understanding of the key concepts;
- Critically appraise the techniques available and limitations of various techniques in answering the research questions posed;
- Critically appraise statistical contributions to published papers, reports, and articles.

Intended Skill Outcomes

On completion of this module, students will be able to:
- Identify and run the appropriate statistical test using a statistical package;
- Conduct univariate and bivariate statistical tests using a statistical software package;
- Understand and present data visually;
- Identify and understand the limitations of statistical testing and how particular tests are used on certain types of data;
- Effectively communicate quantitative data analysis and interpretation.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Scheduled Learning And Teaching ActivitiesLecture102:0020:00Lecture/drop in Q&A sessions
Guided Independent StudyAssessment preparation and completion1401:00140:00Independent assessment preparation
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 mix of live lectures and online blended materials which students will work through at their own pace. The emphasis of the module will be on the development of practical skills in applying quantitative data analysis, as well as development of critical awareness of quantitative methods. Blended materials will include statistical software training via online videos as well as supervised computer lab sessions.

Assessment Methods

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

Other Assessment
Description Semester When Set Percentage Comment
Report2A1003500 word report
Assessment Rationale And Relationship

Students will have the option to choose between a critical analysis of published studies, or a data analysis assignment, on a topic of their own choosing. The assessment aims to develop practical skills in reading and producing quantitative analyses, as well as the ability to critically evaluate quantitative research. The specific details of the assessment will vary depending on the pathway.

General Notes

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Disclaimer: The information contained within the Module Catalogue relates to the 2022/23 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 2023/24 entry will be published here in early-April 2023. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.