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dc.contributor.advisorDeboeck, Pascal R
dc.contributor.authorMcCune, Luke A.
dc.date.accessioned2015-02-25T20:12:49Z
dc.date.available2015-02-25T20:12:49Z
dc.date.issued2014-08-31
dc.date.submitted2014
dc.identifier.otherhttp://dissertations.umi.com/ku:13564
dc.identifier.urihttp://hdl.handle.net/1808/16867
dc.description.abstractLongitudinal planned missing, represented in the literature by the time-lag model (McArdle&Woodcock, 1997) and the cohort sequential design (Nesselroade&Baltes, 1979), has been thus far restricted to growth modeling and often does not fully utilize the benefits of the planned missingness by estimating a full-longitudinal model. The accelerated longitudinal design may serve as a more flexible and powerful alternative. This study presents a test of the accelerated longitudinal design in a simulated latent panel modeling framework to examine the method's appropriateness for contexts untestable using traditional longitudinal planned missing designs. Three-, four-, and five-cohort models are tested, using a continuum of sample sizes and cohort effect sizes. Results indicate that factor loadings, factor variances, and stabilities across time are replicated well, while characteristics and relationships of the means (i.e., manifest intercepts, latent means, and especially cohort differences) show low efficiency relative to the full sample case. In general, the technique is recommended when no cohort effects are expected, though more expansive research into other possible modeling situations should follow.
dc.format.extent44 pages
dc.language.isoen
dc.publisherUniversity of Kansas
dc.rightsThis item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author.
dc.subjectQuantitative psychology and psychometrics
dc.subjectStatistics
dc.subjectaccelerated longitudinal
dc.subjectcohort sequential
dc.subjectlongitudinal
dc.subjectplanned missing
dc.subjectsimulation
dc.titleA Proof-of-Concept Simulation of the Accelerated Longitudinal Planned Missing Design for Latent Panel Modeling
dc.typeThesis
dc.contributor.cmtememberWu, Wei
dc.contributor.cmtememberWoods, Carol M
dc.thesis.degreeDisciplinePsychology
dc.thesis.degreeLevelM.A.
dc.rights.accessrightsopenAccess


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