iecompdup is a command in the Stata package iefieldkit created by DIME Analytics.
A data flow chart is the third component of using a data map to organize data work within a research team. After collecting primary data, the end goal, after many intermediate steps, is to analyze it.
This page outlines the steps in a typical research project and lists each topic within data security that a research team should consider at that point. If you are following these best practices, then not even the full research team has access to identifying data, but very rarely that is ever needed to do the analysis.
In the context of a survey, personally identifiable information (PII) are variables that can, either on their own or in combination with other variables, be used to identify a single surveyed individual with reasonable certainty.
Impact Evaluation projects should follow a clear file naming convention as many team members will need to understand and interact with files over the project lifetime. It is very important to use a naming convention that not only you understand but someone looking at the files after years also understands.
Typically, conducting a survey pilot requires several stages of planning and discussions. Apart from the impact evaluation team, survey pilot participants include interviewers, respondents, and even local government agencies.
When publishing research, it is important to make documentation available so that readers can understand the details of the research design that the work reports. This includes all of the technical details and decisions that could influence how the findings are read or understood. Usually, this will involve producing a document along the lines of a methodological note or appendix. That document will describe how a given study was designed and how the design was carried out.
Research involving human subjects can pose complex ethical issues that require careful thought and consideration on the part of both researchers and participants.
Randomized evaluations are field experiments involving the assignment of subjects randomly to one of two groups: the treatment group which receives the policy intervention being evaluated and the control group which remains untreated.
Dissemination is the process of sharing impact evaluation (intermediate or final) results to impact policy decisions and direct resources towards proven and effective interventions. Effective dissemination of findings and results involves careful planning, thought, consideration of target audiences, and communication with those audiences.