Modeling Coordination in Multiple Simultaneous Latent Change Scores
Identifieur interne : 001037 ( Main/Merge ); précédent : 001036; suivant : 001038Modeling Coordination in Multiple Simultaneous Latent Change Scores
Auteurs : Jonathan E. Butner ; Cynthia A. Berg ; Brian R. Baucom ; Deborah J. WiebeSource :
- Multivariate behavioral research [ 0027-3171 ] ; 2014.
Abstract
Coordination is a taxonomy of how processes change together through time. It depicts the changes of two or more variables in terms of the strength and consistency of their covariation, the directionality of their covariation (i.e., do increases in one variable correspond with increases [in-phase] or decreases [anti-phase] in the other variable), and the timing of their covariation (i.e., do both variables change at the same rate or does one variable change faster than the other). Current methods are able to characterize some, but not all, of these aspects of coordination and provide incomplete information as a result. The current study addresses this limitation by demonstrating that multivariate latent change score models can be used to fully differentiate all possible coordination patterns. Furthermore, one can then expand coordination beyond the two outcome case to test arrangements of underlying coordination mechanisms or patterns. Examples using two simultaneous latent change score models and four simultaneous latent change score models illustrate this approach within the context of adolescents and parents regulating type 1 diabetes.
Url:
DOI: 10.1080/00273171.2014.934321
PubMed: 26735358
PubMed Central: 4766009
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Baucom</name><affiliation><nlm:aff id="A1">Department of Psychology, University of Utah</nlm:aff><wicri:noCountry code="subfield">University of Utah</wicri:noCountry></affiliation></author><author><name sortKey="Wiebe, Deborah J" sort="Wiebe, Deborah J" uniqKey="Wiebe D" first="Deborah J." last="Wiebe">Deborah J. Wiebe</name><affiliation><nlm:aff id="A2">Department of Psychiatry – Division of Psychology, University of Texas Southwestern Medical Center</nlm:aff><wicri:noCountry code="subfield">University of Texas Southwestern Medical Center</wicri:noCountry></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">26735358</idno><idno type="pmc">4766009</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4766009</idno><idno type="RBID">PMC:4766009</idno><idno type="doi">10.1080/00273171.2014.934321</idno><date when="2014">2014</date><idno type="wicri:Area/Pmc/Corpus">001620</idno><idno type="wicri:Area/Pmc/Curation">001620</idno><idno type="wicri:Area/Pmc/Checkpoint">000B11</idno><idno type="wicri:Area/Ncbi/Merge">003E84</idno><idno type="wicri:Area/Ncbi/Curation">003E84</idno><idno type="wicri:Area/Ncbi/Checkpoint">003E84</idno><idno type="wicri:doubleKey">0027-3171:2014:Butner J:modeling:coordination:in</idno><idno type="wicri:Area/Main/Merge">001037</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Modeling Coordination in Multiple Simultaneous Latent Change Scores</title><author><name sortKey="Butner, Jonathan E" sort="Butner, Jonathan E" uniqKey="Butner J" first="Jonathan E." last="Butner">Jonathan E. Butner</name><affiliation><nlm:aff id="A1">Department of Psychology, University of Utah</nlm:aff><wicri:noCountry code="subfield">University of Utah</wicri:noCountry></affiliation></author><author><name sortKey="Berg, Cynthia A" sort="Berg, Cynthia A" uniqKey="Berg C" first="Cynthia A." last="Berg">Cynthia A. Berg</name><affiliation><nlm:aff id="A1">Department of Psychology, University of Utah</nlm:aff><wicri:noCountry code="subfield">University of Utah</wicri:noCountry></affiliation></author><author><name sortKey="Baucom, Brian R" sort="Baucom, Brian R" uniqKey="Baucom B" first="Brian R." last="Baucom">Brian R. Baucom</name><affiliation><nlm:aff id="A1">Department of Psychology, University of Utah</nlm:aff><wicri:noCountry code="subfield">University of Utah</wicri:noCountry></affiliation></author><author><name sortKey="Wiebe, Deborah J" sort="Wiebe, Deborah J" uniqKey="Wiebe D" first="Deborah J." last="Wiebe">Deborah J. Wiebe</name><affiliation><nlm:aff id="A2">Department of Psychiatry – Division of Psychology, University of Texas Southwestern Medical Center</nlm:aff><wicri:noCountry code="subfield">University of Texas Southwestern Medical Center</wicri:noCountry></affiliation></author></analytic><series><title level="j">Multivariate behavioral research</title><idno type="ISSN">0027-3171</idno><idno type="eISSN">1532-7906</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p id="P1">Coordination is a taxonomy of how processes change together through time. It depicts the changes of two or more variables in terms of the strength and consistency of their covariation, the directionality of their covariation (i.e., do increases in one variable correspond with increases [in-phase] or decreases [anti-phase] in the other variable), and the timing of their covariation (i.e., do both variables change at the same rate or does one variable change faster than the other). Current methods are able to characterize some, but not all, of these aspects of coordination and provide incomplete information as a result. The current study addresses this limitation by demonstrating that multivariate latent change score models can be used to fully differentiate all possible coordination patterns. Furthermore, one can then expand coordination beyond the two outcome case to test arrangements of underlying coordination mechanisms or patterns. Examples using two simultaneous latent change score models and four simultaneous latent change score models illustrate this approach within the context of adolescents and parents regulating type 1 diabetes.</p></div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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