2.50
Hdl Handle:
http://hdl.handle.net/10755/159720
Type:
Presentation
Title:
Analysis of Multiple Respondent Data
Abstract:
Analysis of Multiple Respondent Data
Conference Sponsor:Midwest Nursing Research Society
Conference Year:2002
Author:Gray, Bobbe
P.I. Institution Name:Wright State University
Title:Assistant Professor
Contact Address:College of Nursing & Health, 3640 Colonel Glenn Highway, Dayton, OH, 45435, USA
Contact Telephone:937.775.3131
The purpose of this paper is to discuss analysis of multiple respondent variables applicable to family research. Multiple respondents to the same question or questions provide special challenges to data analysis. In addition to individual variance and random error variance, analysis may be complicated by an underlying family or situational variance. This paper will discuss the use of three data analysis techniques for analysis of multiple respondent variables. An example of analysis of multiple respondent data will be provided. Subjective assessments of pregnancy risk status made by 174 high-risk expectant women, their primary nurses, and their physicians were examined in a recent study focusing on maternal attachment. Each set of respondents contained three levels of measurement for one concept. Depending on the focus of the research question, differing analysis methods would be appropriate. Results for this data will be presented using one-way ANOVA, repeated measures ANOVA, and Hotellings T2.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Midwest Nursing Research Society

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleAnalysis of Multiple Respondent Dataen_GB
dc.identifier.urihttp://hdl.handle.net/10755/159720-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Analysis of Multiple Respondent Data</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Midwest Nursing Research Society</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2002</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Gray, Bobbe</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">Wright State University</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Assistant Professor</td></tr><tr class="item-address"><td class="label">Contact Address:</td><td class="value">College of Nursing &amp; Health, 3640 Colonel Glenn Highway, Dayton, OH, 45435, USA</td></tr><tr class="item-phone"><td class="label">Contact Telephone:</td><td class="value">937.775.3131</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">bobbe.gray@wright.edu</td></tr><tr><td colspan="2" class="item-abstract">The purpose of this paper is to discuss analysis of multiple respondent variables applicable to family research. Multiple respondents to the same question or questions provide special challenges to data analysis. In addition to individual variance and random error variance, analysis may be complicated by an underlying family or situational variance. This paper will discuss the use of three data analysis techniques for analysis of multiple respondent variables. An example of analysis of multiple respondent data will be provided. Subjective assessments of pregnancy risk status made by 174 high-risk expectant women, their primary nurses, and their physicians were examined in a recent study focusing on maternal attachment. Each set of respondents contained three levels of measurement for one concept. Depending on the focus of the research question, differing analysis methods would be appropriate. Results for this data will be presented using one-way ANOVA, repeated measures ANOVA, and Hotellings T2.</td></tr></table>en_GB
dc.date.available2011-10-26T22:16:19Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T22:16:19Z-
dc.description.sponsorshipMidwest Nursing Research Societyen_GB
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