000172005 001__ 172005
000172005 005__ 20190409145855.0
000172005 0247_ $$2doi$$a10.1111/j.1467-9531.2010.01227.x
000172005 02470 $$2ISI$$a000287124900001
000172005 037__ $$aARTICLE
000172005 245__ $$aMultichannel Sequence Analysis Applied To Social Science Data
000172005 269__ $$a2010
000172005 260__ $$c2010
000172005 336__ $$aJournal Articles
000172005 490__ $$aSociological Methodology
000172005 520__ $$aApplications of optimal matching analysis in the social sciences are typically based on sequences of specific social statuses that model the residential, family, or occupational trajectories of individuals. Despite the broadly recognized interdependence of these statuses, few attempts have been made to systematize the ways in which optimal matching analysis should be applied multidimensionally-that is, in an approach that takes into account multiple trajectories simultaneously. Based on methods pioneered in the field of bioinformatics, this paper proposes a method of multichannel sequence analysis (MCSA) that simultaneously extends the usual optimal matching analysis (OMA) to multiple life spheres. Using data from the Swiss household panel (SHP), we examine the types of trajectories obtained using MCSA. We also consider a random data set and find that MCSA offers an alternative to the sole use of ex-post sum of distance matrices by locally aligning distinct life trajectories simultaneously. Moreover, MCSA reduces the complexity of the typologies it allows to produce, without making them less informative. It is more robust to noise in the data, and it provides more reliable alignments than two independent OMA.
000172005 6531_ $$aOptimal Matching Analysis
000172005 6531_ $$aPhysical Health
000172005 6531_ $$aLife
000172005 6531_ $$aSociology
000172005 6531_ $$aTransitions
000172005 6531_ $$aProspect
000172005 6531_ $$aCareers
000172005 6531_ $$aWomen
000172005 700__ $$aGauthier, Jacques-Antoine
000172005 700__ $$aWidmer, Eric D.
000172005 700__ $$0244404$$g113607$$aBucher, Philipp
000172005 700__ $$aNotredame, Cedric
000172005 773__ $$j40$$tSociological Methodology$$q1-38
000172005 8564_ $$uhttps://infoscience.epfl.ch/record/172005/files/1.full.pdf$$zPublisher's version$$s780392$$yPublisher's version
000172005 909C0 $$xU11780$$0252244$$pGR-BUCHER
000172005 909CO $$qGLOBAL_SET$$pSV$$ooai:infoscience.tind.io:172005$$particle
000172005 917Z8 $$x182396
000172005 937__ $$aEPFL-ARTICLE-172005
000172005 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000172005 980__ $$aARTICLE