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filler@godaddy.com
Signed in as:
filler@godaddy.com
Are you looking to evaluate your policy or programmes
We can provide specialist support to help prepare you for formal evaluation. This includes facilitating understanding of your programme by developing a Theory of Change, developing data collection tools and mapping outcomes matrices.
We are also available to provide expertise for evalua
Are you looking to evaluate your policy or programmes
We can provide specialist support to help prepare you for formal evaluation. This includes facilitating understanding of your programme by developing a Theory of Change, developing data collection tools and mapping outcomes matrices.
We are also available to provide expertise for evaluation steering groups and independent peer-review services.
We have significant experience of conducting randomised controlled trials (RCTs) to assess the impact of interventions and programmes in social policy.
We also have significant experience of conducting quasi-experimental design evaluations such as propensity-score matching, difference-in-differences and interrupted time series analysis.
We have experience of conducting meta-analysis to support systematic evidence reviews.
We can develop bespoke data extraction tools and produce pooled effect sizes. We produce aesthetic forest plots to visualise the data clearly.
We are highly experienced data analysts, able to conduct complex analyses quickly and robustly.
Our services include:
- Data Management
- Descriptive analysis
- Regression analysis
- Time-series analysis
- Multi-level regression modelling
- Variance Decomposition
- Selection models
We also provide a range of data visualisation services.
We are able to provide bespoke training courses to suit your needs. Please contact us if you would like to discuss how we can support you.
Our training covers topics such as:
- Data analysis in Stata
- Introduction to evaluation concepts
- Conducting Randomised Controlled Trials in Social Policy
- Quasi-experimental evaluation designs
- Conducting power calculations in social policy
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