Hi, I'm an error. x

Community Key Informant


Authors: Melissa Haeffner Courtney Flint Douglas Jackson-Smith
Owners:
Resource type: Generic
Storage: The size of this resource is 18.5 KB
Created: Mar 21, 2017 at 8:24 p.m.
Last updated: Mar 21, 2017 at 8:57 p.m.
DOI: 10.4211/hs.8379c2859e194c1eb7428dbf60b8e4c1
Citation: See how to cite this resource
Sharing Status: Published
Views: 177
Downloads: 6
+1 Votes: Be the first one to  +1 this.  (You need to be logged in to rate this.)
Comments: No comments (yet)

Abstract

Forty-two water decision makers in cities in Utah were identified representing elected official positions as well as staff (e.g., public utilities, public works, etc.). Three valleys in the rapidly growing Northern Utah Wasatch Range Metropolitan Area (WRMA) are represented. In smaller cities where staff play multiple roles, those who performed some operations in water management were selected. Those selected for interviews were identified through city websites and, in a few cases, phone calls to city hall. Participants were contacted by email first and followed up telephone as needed.
All of the interviews were conducted in-person between November 2015 and July 2016. During this time, city elections complicated contact and identifying key informants. When able, we interviewed the incumbents. Only one potential respondent who had initially agreed to an interview canceled without follow-up, for a response rate of 97.6%. Interviews were audio-recorded and tended to last between 20 and 90 minutes each. Each interview was transcribed with the help of two transcribers and deductively coded for themes by a team of three using NVIVO 11 Pro. The team started with an a priori coding matrix based on the interview guide and allowed for additional themes to emerge through the revision of categories and the coding agenda, reaching inter-coder reliability (<80% kappa coefficient). The database in NVIVO titled CKI_project_TEAM contains 40 transcribed interviews. One interview was not coded due to irrelevance and the pilot interview was not coded. Interview 013 does not exist because the respondent canceled. Overall, coders maintained a range of kappa coefficients with % minimum agreement. The final agreement measurements were calculated on Interview 38 which was coded by all three coders. High dual-coder agreement was also attained on the following interviews: 001, 003, 004, and 011. Coders met weekly to retain alignment in nodes and definitions (qualitative agreement). Coders were instructed to code every respondent sentence to the period (quantitative agreement). If the respondent's answer was short (e.g., Yes/No), the coder coded the interview question along with the answer to retain context. Respondents were asked the following: 1) the one key water issue facing their city today; 2) if their city had an adequate water supply to meet their city’s needs today, and 3) did they think their city had an adequate water supply to meet their city’s needs in the future.

Subject Keywords

  • No subject keywords have been added.
  • ${ k }

Duplicate. Keyword not added.

Error: ${ error }
Deleting all keywords will set the resource sharing status to private.

Resource Level Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Utah
North Latitude
42.0167°
East Longitude
-111.0333°
South Latitude
40.1873°
West Longitude
-112.5604°

Temporal

Start Date:
End Date:

Content

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
NSF EPSCoR as part of the State of Utah EPSCoR Research Infrastructure Improvement Award IIA 1208732

Contributors

People or organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.

Name Organization Address Phone Author Identifiers
Natalie Harker Kenley freelance transcription
Ennea Fairchild Utah State University - Logan, UT Department of Sociology
Matthew Barnett

How to Cite

Haeffner, M., C. Flint, D. Jackson-Smith (2017). Community Key Informant, HydroShare, https://doi.org/10.4211/hs.8379c2859e194c1eb7428dbf60b8e4c1

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

Comments

There are currently no comments

New Comment

required