GG4302 Advanced Quantitative Analysis

Academic year

2024 to 2025 Semester 1

Further information on which modules are specific to your programme.

Key module information

SCOTCAT credits

30

The Scottish Credit Accumulation and Transfer (SCOTCAT) system allows credits gained in Scotland to be transferred between institutions. The number of credits associated with a module gives an indication of the amount of learning effort required by the learner. European Credit Transfer System (ECTS) credits are half the value of SCOTCAT credits.

SCQF level

SCQF level 10

The Scottish Credit and Qualifications Framework (SCQF) provides an indication of the complexity of award qualifications and associated learning and operates on an ascending numeric scale from Levels 1-12 with SCQF Level 10 equating to a Scottish undergraduate Honours degree.

Planned timetable

Fri 11am-2pm (practical) Wed 12-1

This information is given as indicative. Timetable may change at short notice depending on room availability.

Module coordinator

Dr C C Liu

This information is given as indicative. Staff involved in a module may change at short notice depending on availability and circumstances.

Module Staff

Dr Chia Liu

This information is given as indicative. Staff involved in a module may change at short notice depending on availability and circumstances.

Module description

Through a combination of lectures, labs, seminar and independent study, students taking this module course will develop the skills to critically interrogate quantitative secondary data and use it to investigate pressing societal issues, such as economic and health inequalities. Students will be first taught a number of statistical methods useful to analyse a variety of social and health outcomes. They will also be introduced to a wide array of UK and international data sources, which they will use in the labs to apply the statistical methods on real-world examples. The course uses the software R Studio, and students will learn to write independently their own statistical code. Students will read and learn to critique quantitative research papers. Students will then be expected to define their own research questions, identify a suitable data source, carry out the necessary quantitative analyses, and present their results in various formats, working independently of the teaching staff.

Relationship to other modules

Pre-requisites

BEFORE TAKING THIS MODULE YOU MUST PASS GG3206

Anti-requisites

YOU CANNOT TAKE THIS MODULE IF YOU PASS GG4223 OR TAKE GG4223

Assessment pattern

100% coursework

Re-assessment

100% coursework

Learning and teaching methods and delivery

Weekly contact

1-hour lecture + 1-hour seminar+ 3 hour practical (per 7 weeks)

Scheduled learning hours

40

The number of compulsory student:staff contact hours over the period of the module.

Guided independent study hours

265

The number of hours that students are expected to invest in independent study over the period of the module.

Intended learning outcomes

  • Demonstrate an understanding of the core quantitative research methodologies and a critical awareness of their strengths and weaknesses.
  • Interpret the results from these main quantitative modelling techniques.
  • Demonstrate critical understanding and practical research experience of a specific policy/ research area.
  • Use R to carry out multivariate modelling for a range of different outcomes
  • Demonstrate experience in working with multiple data sources and in the process of data preparation and cleaning.
  • Present quantitative research information in a variety of formats.