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A Plot for the Visualization of Missing Value Patterns in Multivariate Data.

Repositori DSpace/Manakin

dc.contributor.author	Valero Mora, Pedro Miguel
dc.contributor.author	Rodrigo, María Francisca
dc.contributor.author	Sánchez García, M. Mar
dc.contributor.author	Sanmartín, Jaime
dc.date.accessioned	2020-02-05T15:10:53Z
dc.date.available	2020-02-05T15:10:53Z
dc.date.issued	2019
dc.identifier.citation	Valero Mora, Pedro Miguel Rodrigo, María Francisca Sánchez García, M. Mar Sanmartin, Jaime 2019 A Plot for the Visualization of Missing Value Patterns in Multivariate Data. Practical Assessment, Research & Evaluation 24 1 9
dc.identifier.uri	https://hdl.handle.net/10550/72978
dc.description.abstract	Missing data patterns are the combinations in which the variables with missing values occur. Exploring these patterns in multivariate data can be very useful but there are few specialized tools. The current paper presents a plot that includes relevant information for visualizing these patterns. The plot is also dynamic-interactive; so, selecting elements in it permits the highlighting of those that are more relevant according to certain criteria. An example, based on college data, is used for the purposes of illustrating the capabilities of the plot
dc.language.iso	eng
dc.relation.ispartof	Practical Assessment, Research & Evaluation, 2019, vol. 24, num. 1, p. 9
dc.subject	Psicologia
dc.title	A Plot for the Visualization of Missing Value Patterns in Multivariate Data.
dc.type	journal article	es_ES
dc.date.updated	2020-02-05T15:10:54Z
dc.identifier.idgrec	136097
dc.rights.accessRights	open access	es_ES