Using Temporal Relationship Analysis Method in the Study of Associations Between Social Interactions and Locomoting Behaviors of Nursing Home Residents With Dementia

2.50
Hdl Handle:
http://hdl.handle.net/10755/158549
Type:
Presentation
Title:
Using Temporal Relationship Analysis Method in the Study of Associations Between Social Interactions and Locomoting Behaviors of Nursing Home Residents With Dementia
Abstract:
Using Temporal Relationship Analysis Method in the Study of Associations Between Social Interactions and Locomoting Behaviors of Nursing Home Residents With Dementia
Conference Sponsor:Midwest Nursing Research Society
Conference Year:2007
Author:Yao, Lan
P.I. Institution Name:University of Michigan
Contact Address:School of Nursing, 400 N Ingalls RM 2243, Ann Arbor, MI, 48105, USA
Co-Authors:D. L. Algase, School of Nursing, University of Michigan, Ann Arbor, MI
The aim of this study is to explore the role social interaction plays in determining the locomoting behaviors of elders with dementia. Wandering and other behaviors associated with cognitive impairment are issues that detract from the quality of life of both demented persons and their caregivers. Direct observation provides an objective means to quantify the amount and frequency of wandering and co-occurring activities in persons with dementia, yet, in-depth use and analysis of direct observation data is still a challenge to researchers. This paper compares the utility of three temporal relationship analysis methods which may possibly be used in addressing the research question: correlation, event-lag sequential analysis, and pattern recognition. Auto-correlation can be used to indicate if associations present in two events happened within one time series. Event-lag sequential analyses allow calculations of frequencies of transitions between pairs of events within a certain lag, in a time series. Pattern recognition method enables us to record and describe the temporal and sequential structure of a set of data by detection of repeating sequences in a series of events, thus sometimes reveals complex structures that may be hidden to traditional analytical methods. Different analysis methods that are available for studying behaviors and interpersonal interactions present assorted solutions to research questions. Methodological studies are needed to more fully evaluate and compare the usefulness of these approaches. Illustrations of utilizing these three methods using our project observational data are presented.
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.titleUsing Temporal Relationship Analysis Method in the Study of Associations Between Social Interactions and Locomoting Behaviors of Nursing Home Residents With Dementiaen_GB
dc.identifier.urihttp://hdl.handle.net/10755/158549-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Using Temporal Relationship Analysis Method in the Study of Associations Between Social Interactions and Locomoting Behaviors of Nursing Home Residents With Dementia</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">2007</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Yao, Lan</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">University of Michigan</td></tr><tr class="item-address"><td class="label">Contact Address:</td><td class="value">School of Nursing, 400 N Ingalls RM 2243, Ann Arbor, MI, 48105, USA</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">lyao@umich.edu</td></tr><tr class="item-co-authors"><td class="label">Co-Authors:</td><td class="value">D. L. Algase, School of Nursing, University of Michigan, Ann Arbor, MI</td></tr><tr><td colspan="2" class="item-abstract">The aim of this study is to explore the role social interaction plays in determining the locomoting behaviors of elders with dementia. Wandering and other behaviors associated with cognitive impairment are issues that detract from the quality of life of both demented persons and their caregivers. Direct observation provides an objective means to quantify the amount and frequency of wandering and co-occurring activities in persons with dementia, yet, in-depth use and analysis of direct observation data is still a challenge to researchers. This paper compares the utility of three temporal relationship analysis methods which may possibly be used in addressing the research question: correlation, event-lag sequential analysis, and pattern recognition. Auto-correlation can be used to indicate if associations present in two events happened within one time series. Event-lag sequential analyses allow calculations of frequencies of transitions between pairs of events within a certain lag, in a time series. Pattern recognition method enables us to record and describe the temporal and sequential structure of a set of data by detection of repeating sequences in a series of events, thus sometimes reveals complex structures that may be hidden to traditional analytical methods. Different analysis methods that are available for studying behaviors and interpersonal interactions present assorted solutions to research questions. Methodological studies are needed to more fully evaluate and compare the usefulness of these approaches. Illustrations of utilizing these three methods using our project observational data are presented.</td></tr></table>en_GB
dc.date.available2011-10-26T21:10:00Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T21:10:00Z-
dc.description.sponsorshipMidwest Nursing Research Societyen_GB
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