Conduct a Successful Evaluation Series: Survey Design, Analysis and Quantification of Results

Date:

04/09/2017 - 08/09/2017

Organised by:

Methods For Change

Presenter:

Dr. Eric Jensen (U. of Warwick) and Benjamin Smith (UCSB)

Level:

Intermediate (some prior knowledge)

Contact:

Paola or Fidany
events@methodsforchange.org

Map:

View in Google Maps  (SE1 0NZ)

Venue:

itizenM hotel in London Bankside. 20 Lavington Street London, United Kingdom

Description:

These introductory workshops are designed to cover the entire process of research and evaluation, from start to finish, your training programmes or events, public engagement activities, or your general provision of services. A particular focus is given to using quantitative evaluation methods.

The workshop series will help you address the following:

- How do I collect the "right" information"? (Overall methods)

- How do I ask the "right" questions? (Survey/questionnaire design)

- How do I understand the information I collect? (Analysis & Reporting)

 

This workshop series include the whole quantitative evaluation series with Dr. Eric Jensen and Benjamin Smith:

  • Very Gentle Introduction to Quantitative Evaluation
  • Gentle Introduction to Survey Design for Evaluation
  • How to Evaluate Long-Term Impact with Questionnaires.
  • How to Accurately Quantify your Open-Ended Evaluation Data
  • Gentle Introduction to Statistical Analysis for Evaluation using SPSS and R

Reserve your place to save 10% on the whole series of workshops (in London, from September 5th to September 9th).

Cost:

Standard, including businesses info_outline £540
University Staff £432
Charities & unaffiliated individuals info_outline £351
Concessionary (students & unemployed) £216

Website and registration:

Region:

Greater London

Keywords:

Frameworks for Research and Research Designs, Data Collection, Data Quality and Data Management , Qualitative Data Handling and Data Analysis, Quantitative Data Handling and Data Analysis, R, SPSS

Related publications and presentations:

Frameworks for Research and Research Designs
Data Collection
Data Quality and Data Management
Qualitative Data Handling and Data Analysis
Quantitative Data Handling and Data Analysis
R
SPSS

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