***** To join INSNA, visit http://www.insna.org *****
My experience is that it becomes difficult to create rosters beyond 600 people. Dividing a group of hundreds into recognizable sub-groups, such as departments, locations, or project teams allows respondents to quickly find the sub-groups they interact with.
With very large groups, I forget the complete roster approach, and go with the "rule of 5" -- nominate up to 5 people who....
See this paper by Ron Burt:
"How many names are enough? Identifying network effects with the least set of listed contacts"
On 2014.5.11, at 15:21, Wesley M Shrum wrote:
> ***** To join INSNA, visit http://www.insna.org *****
> Not systematic, but I¹ve found that beyond 7 pages it gets dodgy‹I think
> it depends more on how motivated the respondents are through an inherent
> interest in the list that you give them.
> Here¹s a version of our rosters used in Kenya, Ghana, and India for a
> couple of decades.
> (look for the instruments marked ³network²)
> Wesley Shrum
> Professor of Sociology, Louisiana State University
> Director, Ethnografilm <http://ethografilm.com>, 8-12 April 2015;
> Director, Fringe Performance Archive <http:fringearchive.org>, National
> Library of Scotland
> Program Officer, Society for Social Studies of Science
> Date: Tue, 4 Nov 2014 13:31:25 -0500
> From: "< Janet Okamoto >" <[log in to unmask]>
> Subject: Network roster size and network data quality
> ***** To join INSNA, visit http://www.insna.org <http://www.insna.org/>
> Hi all,
> I'm currently working on a project collecting network information from a
> health coalition and am looking for any scholarly references to work that
> has examined
> optimal size or thresholds of network rosters given to survey respondents.
> Is there any
> work that has looked at what size or at which point the quality of your
> data starts to
> decrease? How many names and relationships can a person cognitively
> process at one
> time before fatigue sets in and you have to start worrying about data
> quality? Measurement, meaning, and psychometric properties of network
> survey questions has
> been an interest of mine for years, but I haven't seen many publications
> about the topic,
> so am hoping some on this list can help.
> Janet Okamoto, Ph.D
> Research Associate
> Mayo Clinic
> [log in to unmask]
SOCNET is a service of INSNA, the professional association for social
network researchers (http://www.insna.org). To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message.