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IP306 - Impact Evaluation: Frameworks for implementing and assessing transdisciplinary Interventions

  • Module code: IP306
  • Module name: Impact Evaluation: Frameworks for implementing and assessing transdisciplinary Interventions
  • Department: Liberal Arts
  • Credit: 15

Content and teaching | Assessment | Availability

Module content and teaching

Principal aims

This module is targeted toward any student who seeks to understand how best to design effective interventions, big or small, which allow analysis of their success. It aims to provide students with the generalised skills and knowledge to enable them to make informed decisions concerning both the design of such policy interventions, and the evaluation of their impact in a range of settings. To achieve its aims, the module balances the necessary technicality of rigorous statistical and econometric analysis against the need for an intuitive operational understanding of the required steps when confronted with a policy problem. Through extensive hands-on use of a range real-world examples and datasets, students gain conceptual knowledge such as frameworks for effective policy design, core statistical knowledge, and a transferrable toolkit of practical analytical skills required for effective impact evaluation and other statistical analysis. Students will then be able to apply this skill set to any situation where an intervention is required – either very locally within a business or organisation, or in terms of national- or international-level issues. The module is taught via a combination of lecturer-led classroom discussions, problem-based learning, and practical computer lab sessions.

Principal learning outcomes

Upon completion of this module, students will be able to: Demonstrate an understanding of frameworks for policy design, be able to apply such frameworks to interpret existing policy, and use established frameworks as a tool for designing new policy interventions Demonstrate an understanding of the application of policy design frameworks to both localised interventions, and also broader applications Interpret, produce, appropriately present, and explain (verbally and in writing) a range of descriptive statistics Demonstrate (verbally and in writing) an understanding of the need for rigorous policy or intervention evaluation and be able to provide examples of good practice in this subject area Identify and implement appropriate statistical methods for the evaluation of policy intervention based upon the characteristics of the intervention and the available data Demonstrate an understanding (in writing and presentation) of core statistical concepts such as (but not limited to) distribution, correlation, estimation, and causality, and how consideration of such concepts is key to selection of appropriate means of impact evaluation Independently use a range of computer software for the production of descriptive statistics, graphs and charts, and for the analysis of policy outcomes

Timetabled teaching activities

10 x 2-hour weekly taught sessions in Term 1 8 x 2-hour weekly practical sessions in Term 1

Departmental link

Module assessment

Assessment group Assessment name Percentage
15 CATS (Module code: IP306-15)
D (Assessed/examined work) 8 x weekly online quiz 5%
  In-class group presentation 10%
  Individual assignment 30%
  Group project 15%
  Computer-based exam (questions seen 7 days in advance) 40%
VA (Visiting students only) 100% assessed (visiting/exchange students) 100%

Module availability

This module is available on the following courses:



Optional Core