You can also have the new manager go online and register as a manager here: http://www.partnertool.net/survey/register.php
Then they can email the firstname.lastname@example.org and we can transfer the survey you used in your collaborative under your manager ID to their collaborative in their manager ID.
Column B: Short Names filter into the Analysis tool when you visualize your maps. So these names can be completely de-identified so only the research team knows who is linked to which short name, or you can make them acronyms or whatever is going to be easiest for you when you go to analyze your data. They have to be shorter than the longer org names because of the space on the maps; it would be hard to see with the long names.
Column C: Group filters into the Analysis tool when you visualize your maps. You can choose to evaluate maps of only certain groups together, separately, or all groups together. This is your way of giving some sort of attribute for example: gender, sector, service, domain they work on, etc.
Column D: Username – this has to be a unique username for each person. You can give everyone the same username with just a number on the end; for example you can use the collaborative name, abbreviation of the name, the project name, the regional area, etc.
Columns E, F, G: Last Name, First Name and Email, are only used for Step 3: Sending out emails (the intro email, the invitation, and any reminder emails). This information does not show in the survey nor is it stored in the data file in the Analysis Tool.
Column H and I: Password is only stored for the invitation email. You can use the same password for every respondent (we actually recommend this so that if anyone comes to you and asks what their username and password are you can easily identify it and track it). Respondents have the option of changing their password, but few rarely do.
While there is not necessarily a limit on the number of respondents you include, having a large list can create burden on your respondents when they answer the relational questions 11-18, because they will have to answer each of those question for everyone they choose in question 10. So if you have a list of 200+ organizations and most will choose 50-75 organizations in question 10 they will then have to answer the subsequent 8 questions about those 50-75 organizations. We have had managers upload lists of up to 200 respondents, but we have not had much experience with networks larger than that. We don’t recommend much more than 100 respondents or things become unmanageable in the analysis. Also with larger networks, it will be harder to specify connections because there is so much activity going on.
*Note: Before you send out your invitations make sure that you have all respondents uploaded.
*Note: Be sure your respondent is complete and accurate before you send out the survey to network members.
Emails from the PARTNER System and Response Rate:
The reminder email will not give the respondents their password like the invite did, but there is a way you can include the %org name and the %username in the email message. You can write your email message by selecting the button that says “Create Email Message” above the list of respondents. You can choose to include the password in the email message or tell them to refer back to the original message that contained the password.
If we consider each person as providing accurate information, then you might assume that even those that did not respond would have reported similar relationships, so there is a chance that you get a pretty complete picture even without everyone’s responses. Also, keep in mind that whatever feedback you get is more than they had before. Ultimately, this can be a problem with all survey research and a particular problem with social network surveys and therefore response rate should be reported (perhaps as a strength or a limitation) when reporting the results. We recommend reporting initial findings back to your network at various intervals as a method to encourage them to participate.
1 Hoddinott, Susan N. and Martin J. Bass. (1986). The Dillman total design survey method. Can Fam Physician, 32: 2366–2368.