An alternative approach to analyze ipsative data. Revisiting experiential learning theory

dc.contributor.authorBatista-Foguet, Joan M.
dc.contributor.authorFerrer Rosell, Berta
dc.contributor.authorSerlavós, Ricard
dc.contributor.authorCoenders, Germà
dc.contributor.authorBoyatzis, Richard E.
dc.date.accessioned2018-06-15T08:29:25Z
dc.date.available2018-06-15T08:29:25Z
dc.date.issued2015
dc.description.abstractThe ritualistic use of statistical models regardless of the type of data actually available is a common practice across disciplines which we dare to call type zero error. Statistical models involve a series of assumptions whose existence is often neglected altogether, this is specially the case with ipsative data. This paper illustrates the consequences of this ritualistic practice within Kolb's Experiential Learning Theory (ELT) operationalized through its Learning Style Inventory (KLSI). We show how using a well-known methodology in other disciplines—compositional data analysis (CODA) and log ratio transformations—KLSI data can be properly analyzed. In addition, the method has theoretical implications: a third dimension of the KLSI is unveiled providing room for future research. This third dimension describes an individual's relative preference for learning by prehension rather than by transformation. Using a sample of international MBA students, we relate this dimension with another self-assessment instrument, the Philosophical Orientation Questionnaire (POQ), and with an observer-assessed instrument, the Emotional and Social Competency Inventory (ESCI-U). Both show plausible statistical relationships. An intellectual operating philosophy (IOP) is linked to a preference for prehension, whereas a pragmatic operating philosophy (POP) is linked to transformation. Self-management and social awareness competencies are linked to a learning preference for transforming knowledge, whereas relationship management and cognitive competencies are more related to approaching learning by prehension.ca_ES
dc.description.sponsorshipThe authors want to acknowledge the support of the Spanish Ministry of Sciences and Innovation (MICINN) research project EDU2010-15250 “Emotional and Social Competencies Development Program” within the European Higher Education Area. Spanish Health Ministry Grant CB06/02/1002 funding the research group “Epidemiology and Public Health (CIBERESP).” Catalan Autonomous Government Consolidated Research Groups: Grant 2014SGR582 funding the research group “Leadership Development Research Centre (GLEAD)” and Grant 2014SGR551 funding the research group “Compositional and Spatial Data Analysis (COSDA).”ca_ES
dc.identifier.doihttps://doi.org/10.3389/fpsyg.2015.01742
dc.identifier.idgrec023391
dc.identifier.issn1664-1078
dc.identifier.urihttp://hdl.handle.net/10459.1/64514
dc.language.isoengca_ES
dc.publisherFrontiers Mediaca_ES
dc.relationinfo:eu-repo/grantAgreement/MICINN//EDU2010-15250/ES/PROGRAMA DE DESARROLLO DE COMPETENCIAS SOCIALES Y EMOCIONALES EN EL CONTEXTO DEL ESPACIO EUROPEO DE EDUCACION SUPERIOR/
dc.relation.isformatofReproducció del document publicat a https://doi.org/10.3389/fpsyg.2015.01742ca_ES
dc.relation.ispartofFrontiers in Psychology, 2015, vol. 6, núm. 1742, p. 1-10ca_ES
dc.rightscc-by (c) Batista et al., 2015ca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectIpsative dataca_ES
dc.subjectKolb’s Learning Style Inventory (KLSI)ca_ES
dc.subjectCompositional data analysis (CODA)ca_ES
dc.subjectEmotional and social competenciesca_ES
dc.titleAn alternative approach to analyze ipsative data. Revisiting experiential learning theoryca_ES
dc.typeinfo:eu-repo/semantics/articleca_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_ES
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