Other Titles
Strategies in nursing research
Abstract
This presentation describes a partnership between a university researcher and a regional medical center RN committee to design and implement a survey to measure nurses perception of RN and MD communication using Construct Modeling. The survey results provided valuable data to effect change.
Sigma Membership
Unknown
Lead Author Affiliation
Indiana University Kokomo, Kokomo, Indiana, USA
Type
Presentation
Format Type
Text-based Document
Study Design/Type
N/A
Research Approach
N/A
Keywords:
Construct Modeling, Rasch Mode Diagnostics, Rasch Model Analysis
Recommended Citation
Bourke, Mary, "Improving survey development and objective measurement in nursing research: Construct Modeling and Rasch Diagnostics Analysis" (2018). INRC (Congress). 283.
https://www.sigmarepository.org/inrc/2018/presentations_2018/283
Conference Name
29th International Nursing Research Congress
Conference Host
Sigma Theta Tau International
Conference Location
Melbourne, Australia
Conference Year
2018
Rights Holder
All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.
All permission requests should be directed accordingly and not to the Sigma Repository.
All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Acquisition
Proxy-submission
Improving survey development and objective measurement in nursing research: Construct Modeling and Rasch Diagnostics Analysis
Melbourne, Australia
This presentation describes a partnership between a university researcher and a regional medical center RN committee to design and implement a survey to measure nurses perception of RN and MD communication using Construct Modeling. The survey results provided valuable data to effect change.