Gentle Introduction to Statistical Analysis for Evaluation using SPSS and R
Date:
08/09/2017
Organised by:
Methods For Change
Presenter:
Dr Eric Jensen (U. Warwick) and Benjamin K. Smith (UCSB)
Level:
Intermediate (some prior knowledge)
Contact:
Paola,
Events@methodsforchange.org
Map:
View in Google Maps (SE1 0NZ)
Venue:
SocietyM at CitizenM hotel London Bankside, 20 Lavington Street London
Description:
Friday 8 September 2017, 13:30 to 17:00
This workshop provides an initial introduction to using statistical analysis software for evaluation for people with no or minimal training in statistics. You will be encouraged to bring your own data and computer to practice for yourself with support from the expert speakers.
The workshop covers the following topics:
- Introduction to key principles of statistical analysis
- Examples of statistical analysis for evaluation projects
- Basic introduction to the statistics software packages R (free, open source) and SPSS (commercial product offered by IBM)
- How to use SPSS and R to analyse your evaluation data using descriptive statistics
Cost:
Standard, including businesses info_outline £120
University Staff £96
Charities & unaffiliated individuals info_outline £78
Concessionary (student & unemployed) £48
Website and registration:
Region:
Greater London
Keywords:
Frameworks for Research and Research Designs, Survey Research, Cross-Sectional Research, Longitudinal Research , Experimental Research , Evaluation Research, Mixed Methods, Interdisciplinary and Multidisciplinary Research, Data Collection, Survey and Questionnaire Design, Data Quality and Data Management , Quality in Qualitative Research, Quality in Quantitative Research, Measurement Error, Statistical Disclosure Control
Related publications and presentations:
Frameworks for Research and Research Designs
Survey Research
Cross-Sectional Research
Longitudinal Research
Experimental Research
Evaluation Research
Mixed Methods
Interdisciplinary and Multidisciplinary Research
Data Collection
Survey and Questionnaire Design
Data Quality and Data Management
Quality in Qualitative Research
Quality in Quantitative Research
Measurement Error
Statistical Disclosure Control