From the Data Processing section, you can export interview data, delete interviews from a study, and visualize, save, and export visualizations of interview data.


Exporting study data

EgoWeb isn’t really a network analysis package (though there are some analysis capabilities). We designed it to export basic data sets that any stats software can import and analyze. EgoWeb enables the collection of personal network data (among other forms), which are better analyzed with script-based statistics software (such as R) because they enable processing of many networks and multiple visualizations at one time. The export files are in comma delimited (csv) format.

The first step before exporting raw data is to create a definition of an edge/adjacency in the study you want to export. This is because the raw data are exported along with network statistics calculated using the definition of an edge/adjacency. If you defined an edge in order to display a visualization of the network as part of a network question, you can use the same expression for data exporting. For example, if you have an alter-pair question “Does alter A know alter B” to create an expression defining an edge based on this question, you have to define that a “yes” answer to this question is an adjacency and a “no” is not. This is necessary because you could have a more precise question (e.g. “How often does A interact with B? Never, Rarely, Sometimes, Often?”), and you may want to define an adjacency to include the answers “sometimes” or “often” and exclude the “rarely” and “never” responses (and therefore define them as non-adjacencies).


Options for exporting data

Export Ego-alter Data:
Ego-Alter data exports respondent and network composition variable data. The data are structured one row per alter with network composition variables (questions about the alters) for each alter on one row apiece. The ego-level data are repeated over and over for each alter. The data are structured to facilitate dyadic multi-level analyses that can be analyzed with multi-level modeling procedures in statistics software such as STATA. Along with the raw ego-level and alter-level data, network statistics for the whole respondent network (e.g. density, isolates) and for each alter (e.g. betweenness, degree) are also included in the ego-alter data export.

Export Alter-Pair Data:
You can also export the Alter-Pair data, which is the result of any alter-alter question. This is in an edge list format and can be easily imported into a social network analysis software package such as UCINet.

Export Other Specify Data:
The “other specify” data are text typed into open text boxes for questions that were defined as “other specify.”

Export Pre-defined Alter List:
The Pre-defined alter list is not data, just a list of participants/alters used in the study. These are added to a study settings page.

Visualizing respondents’ alter networks




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