Show simple item record

2020-10Zeitschriftenartikel DOI: 10.1177/1094428119847280
From Data to Causes II: Comparing Approaches to Panel Data Analysis
dc.contributor.authorZyphur, Michael
dc.contributor.authorVoelkle, Manuel
dc.contributor.authorTay, Louis
dc.contributor.authorAllison, Paul D.
dc.contributor.authorPreacher, Kristopher
dc.contributor.authorZhang, Zhen
dc.contributor.authorHamaker, Ellen L.
dc.contributor.authorShamsollahi, Ali
dc.contributor.authorPierides, Dean C.
dc.contributor.authorKoval, Peter
dc.contributor.authorDiener, Ed
dc.date.accessioned2022-06-28T10:21:43Z
dc.date.available2022-06-28T10:21:43Z
dc.date.issued2020-10none
dc.date.updated2020-08-08T20:19:08Z
dc.identifier.issn1094-4281
dc.identifier.urihttp://edoc.hu-berlin.de/18452/25529
dc.description.abstractThis article compares a general cross-lagged model (GCLM) to other panel data methods based on their coherence with a causal logic and pragmatic concerns regarding modeled dynamics and hypothesis testing. We examine three “static” models that do not incorporate temporal dynamics: random- and fixed-effects models that estimate contemporaneous relationships; and latent curve models. We then describe “dynamic” models that incorporate temporal dynamics in the form of lagged effects: cross-lagged models estimated in a structural equation model (SEM) or multilevel model (MLM) framework; Arellano-Bond dynamic panel data methods; and autoregressive latent trajectory models. We describe the implications of overlooking temporal dynamics in static models and show how even popular cross-lagged models fail to control for stable factors over time. We also show that Arellano-Bond and autoregressive latent trajectory models have various shortcomings. By contrasting these approaches, we clarify the benefits and drawbacks of common methods for modeling panel data, including the GCLM approach we propose. We conclude with a discussion of issues regarding causal inference, including difficulties in separating different types of time-invariant and time-varying effects over time.eng
dc.description.sponsorshipAustralian Research Council https://doi.org/10.13039/501100000923
dc.language.isoengnone
dc.publisherHumboldt-Universität zu Berlin
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectpanel data modeleng
dc.subjectcausal inferenceeng
dc.subjectcross-lagged modeleng
dc.subjectGranger causalityeng
dc.subjectstructural equation modeleng
dc.subjectmultilevel modeleng
dc.subjectlatent curve modeleng
dc.subjectlatent growth modeleng
dc.subjectArellano-Bond methodseng
dc.subject.ddc150 Psychologienone
dc.titleFrom Data to Causes II: Comparing Approaches to Panel Data Analysisnone
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:11-110-18452/25529-2
dc.identifier.doi10.1177/1094428119847280none
dc.identifier.doihttp://dx.doi.org/10.18452/24849
dc.type.versionpublishedVersionnone
local.edoc.container-titleOrganizational Research Methodsnone
local.edoc.pages29none
local.edoc.anmerkungDieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich.  none
local.edoc.type-nameZeitschriftenartikel
local.edoc.institutionLebenswissenschaftliche Fakultätnone
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
local.edoc.container-publisher-nameSagenone
local.edoc.container-publisher-placeLondon [u.a.]none
local.edoc.container-volume23none
local.edoc.container-issue4none
local.edoc.container-firstpage688none
local.edoc.container-lastpage716none
dc.description.versionPeer Reviewednone
dc.identifier.eissn1552-7425
local.edoc.affiliationZyphur, Michael J.; Department of Management & Marketing, Business & Economics, University of Melbourne, Melbourne, Australianone
local.edoc.affiliationVoelkle, Manuel C.; Institut für Psychologie, Humboldt University Berlin, Berlin, Germanynone
local.edoc.affiliationTay, Louis; Department of Psychology, Purdue University, West Lafayette, IN, USAnone
local.edoc.affiliationAllison, Paul D.; Department of Sociology, University of Pennsylvania, Philadelphia, PA, USAnone
local.edoc.affiliationPreacher, Kristopher J.; Department of Psychology & Human Development, Vanderbilt University, Nashville, TN, USAnone
local.edoc.affiliationZhang, Zhen; Department of Management, W. P. Carey School of Business, Arizona State University, Tempe, AZ, USAnone
local.edoc.affiliationHamaker, Ellen L.; Department of Methods and Statistics, Utrecht University, Utrecht, Netherlandsnone
local.edoc.affiliationShamsollahi, Ali; ESSEC Business School, Cergy-Pontoise, Francenone
local.edoc.affiliationPierides, Dean C.; Department of Management Work and Organisation, University of Stirling, Stirling, USAnone
local.edoc.affiliationKoval, Peter; Department of Psychology, University of Melbourne, Melbourne, Australianone
local.edoc.affiliationDiener, Ed; Department of Psychology, University of Utah, Salt Lake City, UT, USAnone

Show simple item record