Unit information: Further Quantitative Methods in 2028/29

Please note: Programme and unit information may change as the relevant academic field develops. We may also make changes to the structure of programmes and assessments to improve the student experience.

Unit name Further Quantitative Methods
Unit code SPOLM0016
Credit points 20
Level of study M/7
Teaching block(s) Teaching Block 2 (weeks 13 - 24)
Unit director Dr. Eroglu-Hawksworth
Open unit status Not open
Units you must take before you take this one (pre-requisite units)

Participants should usually have taken SPOLM0077 Quantitative Methods: Design and Analysis, or be able to demonstrate equivalent expertise.

Units you must take alongside this one (co-requisite units)

None

Units you may not take alongside this one

None

School/department School for Policy Studies
Faculty Faculty of Social Sciences and Law

Unit Information

Why is this unit important?

The unit covers three main topics:

  • The practice of secondary data analysis using survey sources based upon a range of statistical methods and ‘hands-on’ exercises using SPSS
  • The circumstances in which particular techniques can be applied and the strengths and weaknesses of different methods in informing policy and practice
  • The presentation and interpretation of quantitative results in accessible ways.

How does this unit fir into your programme of study

Following the completion of the Quantitative Methods Design and Analysis unit, this unit further develops your understanding of quantitative analysis by focusing on inferential statistics and the associated bi-variate and multi-variable statistical techniques.

Your learning on this unit

An overview of content

In this unit you will develop a sophisticated command of inferential statistics through a series of lectures and practical workshops focussing on bi-variate and multi-variable/variate parametric and non-parametric techniques used in statistical significance testing (e.g., ANOVA, linear and logistic regression).

How will students, personally, be different as a result of the unit

You will develop an understanding of limits to using inferential statistics and associated statistical techniques. You will become more confident in applying these techniques to understanding real life issues that are of significant policy relevance.

Learning Outcomes

Upon successful completion of this unit student will be able to:

  1. Use descriptive methods in order to assess the properties of quantitative data and apply this understanding to an appropriate strategy of analysis for data of different types.
  2. Analyse the relationship between variables and compare across groups using a range of parametric and non-parametric approaches.
  3. Demonstrate a command of the strengths and limitations of statistical evidence in informing policy and practice.

How you will learn

The unit will be delivered through a combination of lectures, workshops and self-directed exercises.

How you will be assessed

Tasks which help you learn and prepare you for summative tasks (formative):

Small group work and presentation describing a strategy for researching a key social policy problem (e.g. poverty and wellbeing) based on secondary survey data.

Tasks which count towards your unit mark (summative):

Data analysis report (3000 words maximum) 100%

This assessment covers all of the learning outcomes.

When assessment does not go to plan

Subject to the university regulations for taught programmes, you may be offered an opportunity for reassessment. If you are eligible to resubmit and where appropriate, you may submit a revised version of your previous assignment, or complete an alternative assessment in the same format as the original assessment. 

Resources

If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.

If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. SPOLM0016).

How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours of study to complete. Your total learning time is made up of contact time, directed learning tasks, independent learning and assessment activity.

See the University Workload statement relating to this unit for more information.

Assessment
The assessment methods listed in this unit specification are designed to enable students to demonstrate the named learning outcomes (LOs). Where a disability prevents a student from undertaking a specific method of assessment, schools will make reasonable adjustments to support a student to demonstrate the LO by an alternative method or with additional resources.

The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit. The Board considers each student's outcomes across all the units which contribute to each year's programme of study. For appropriate assessments, if you have self-certificated your absence, you will normally be required to complete it the next time it runs (for assessments at the end of TB1 and TB2 this is usually in the next re-assessment period).
The Board of Examiners will take into account any exceptional circumstances and operates within the Regulations and Code of Practice for Taught Programmes.