Search results

...usehold, etc) with a distinct value. This article lists five properties of ID variables that researchers should keep in mind when creating, collecting, a ...y identifying, constant across a project, constant throughout the duration of the project, and anonymous.

...n the context of surveys and datasets and explains how to confirm the unit of observation for a given dataset. ...ng with a dataset that you have not created yourself, identifying the unit of observation is the first step to understanding the data.

...'research team''' should run <code>ieduplicates</code> with each new batch of incoming data to ensure [[Monitoring Data Quality|high quality data]] befor * <code>ieduplicates</code> is part of the package <code>[[iefieldkit]]</code>, which has been developed by [https

...a folder, the structure of the data sets in the folder, and identification of the observations in the data sets is critical. * An important step before starting with '''data management''' is creating a [[D

...ID Variable Properties | ID variables]] exist, so they can be resolved. '''ID variables''' are '''variables''' that uniquely identify every observation i * <code>iecompdup</code> is part of the package <code>[[iefieldkit]]</code>, which has been developed by [https

...pact Evaluation Team|Research teams]] usually rely on two broad categories of data - [[Primary Data Collection|primary data]], and '''secondary data'''. * '''Impact evaluations''' rely on many different sources of '''secondary data''', such as: [[Administrative and Monitoring Data|adminis

...the '''analysis'''. They are also a useful tool to communicate to the rest of the team, and [[Data Documentation|document]] how the '''analysis datasets' ...esearch/dime/data-and-analytics DIME Analytics] to organize 3 main aspects of data work:

...ation in SurveyCTO | randomizing in survey software]]. The main advantages of randomizing in Stata follow: * The researcher has more control of the process and can check [[Balance tests | randomization balance]] and [[S

...t up, they significantly reduce sources of error, and simplify the process of working with datasets from multiple sources - baseline data, endline data, * '''Master data sets''' are a crucial component of using a [[Data Map|data map]] to organize [[Research Data Work|data work]].

...Research_Assistant|Research Assistant]] (RA). This page outlines the goals of data cleaning, recommends role division, outlines common issues encountered *The goal of data cleaning is to clean individual data points and to make the [[Master D

..., [[Data Cleaning|data cleaning]], and [[Data Analysis|data analysis]]. '''Variable construction''' involves processing cleaned data to make the data points mo * '''Variable construction''' is a part of the '''data work''' process. The other stages are [[De-identification|de-id

...entities be connected with data. De-identification is a critical component of [[Research Ethics | ethical]] [[Protecting Human Research Subjects | human The following steps ensure proper handling and storage of [[Personally Identifying Information (PII)|PII]]:

...n and code these '''high frequency checks''' is in parallel to the process of [[Questionnaire Design | questionnaire design]] and [[Questionnaire Program ...|back checks]], '''High frequency checks (HFCs)''' are an important aspect of the [[Data Quality Assurance Plan|data quality assurance plan]].

...oducibility]]. Preparation for data publication begins in the early stages of research: effective [[Data Management | data management]] and analytics thr ...ng information (PII)]] such as names, locations, or financial records, all of which are not [[Research Ethics | ethical]] to publish.

Thousands of users in more than 150 countries depend on '''SurveyCTO''' to conduct [[Com * '''SurveyCTO''' also lets users change the format of question text using [[SurveyCTO HTML Input|basic HTML commands]].

...t folder. The DataWork Survey Round folder is useful throughout all stages of a project. ...[iefolder]]</code> creates the DataWork Survey Round folder as a component of the DataWork folder, which is typically housed in [https://www.box.com Box]

...the same results as the original study, which strengthens the conclusions of the original study. It is important to push researchers towards publishing ...smxz/ bootcamp on reproducible research], which covers the various aspects of '''reproducibility'''.