Very Gentle Introduction to Quantitative Evaluation
Date:
05/09/2017
Organised by:
Methods For Change
Presenter:
Dr. Eric Jensen (U. of Warwick) & Benjamin K. Smith (UCSB)
Level:
Entry (no or almost no prior knowledge)
Contact:
Paola or Fidany
Events@methodsforchange.org
Map:
View in Google Maps (SE1 0NZ)
Venue:
SocietyM London Bankside at citizenM hotel London Bankside Lavington Street, 20, SE1 0NZ London
Description:
Tuesday 5 September 2017, 09:15 to 12:15
This workshop equips you with the information you need to decide how to evaluate your project, programme or activity using quantitative methods.
The workshop addresses the following points:
- Laying the foundations for good quantitative evaluation: How do you ensure your objectives are clear, specific and measurable?
- Introducing the quantitative evaluation toolkit: Questionnaires, experiments, structured observation and quantifying open-ended data
- How do you get a representative sample for your evaluation?
- How do you ensure your quantitative evaluation plan is realistic?
By the end of this workshop, you will understand:
- How to describe your intended outcomes for a programme or activity in a way that enables subsequent evaluation.
- What your quantitative evaluation options are, and how you can choose the best option for your situation.
- How to develop an initial plan for selecting participants in your quantitative evaluation.
- How to ensure you have accounted for major challenges and opportunities in your quantitative evaluation plan.
Cost:
Standard, including businesses info_outline £120
University staff £96
Charities & unaffiliated individuals info_outline £78
Concessionary (student & unemployed) £48
Website and registration:
https://www.methodsforchange.org/event/very-gentle-introduction-to-quantitative-evaluation/
Region:
Greater London
Keywords:
Frameworks for Research and Research Designs, Data Collection, Quality in Quantitative Research, Quantitative Data Handling and Data Analysis
Related publications and presentations:
Frameworks for Research and Research Designs
Data Collection
Quality in Quantitative Research
Quantitative Data Handling and Data Analysis