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Protocol: validation of the INCODE barometer to measure the innovation compe-tence through the Rasch Measurement Theory

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Protocol: validation of the INCODE barometer to measure the innovation compe-tence through the Rasch Measurement Theory

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dc.contributor.author Sánchez-Ruiz, Lidia es_ES
dc.contributor.author Blanco, Beatriz es_ES
dc.contributor.author Marín-García, Juan A. es_ES
dc.date.accessioned 2018-01-03T10:49:17Z
dc.date.available 2018-01-03T10:49:17Z
dc.date.issued 2017-06-07
dc.identifier.uri http://hdl.handle.net/10251/93855
dc.description.abstract [EN] This communication presents a protocol in order to show the different phases that must be followed in order to validate the INCODE barometer, which is used to measure the innovation competence, with Rasch Measurement Theory. Five phases are stated: dimensionality analysis, individual reliability and validity analysis of ítems and persons, global reliability and validity analysis, and cathegory analysis. es_ES
dc.language Español es_ES
dc.publisher Universitat Politècnica de València
dc.relation.ispartof Working Papers on Operations Management
dc.rights Reconocimiento (by) es_ES
dc.subject Research es_ES
dc.subject Protocol es_ES
dc.subject INCODE barometer es_ES
dc.subject Innovation competence es_ES
dc.subject Rasch Measurement Theory es_ES
dc.title Protocol: validation of the INCODE barometer to measure the innovation compe-tence through the Rasch Measurement Theory es_ES
dc.title.alternative Protocolo: Validación del barómetro INCODE para medir la competencia de innovación con la Teoría de Medición de Rasch es_ES
dc.type Artículo es_ES
dc.date.updated 2018-01-03T08:29:03Z
dc.identifier.doi 10.4995/wpom.v8i0.7190
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Sánchez-Ruiz, L.; Blanco, B.; Marín-García, JA. (2017). Protocol: validation of the INCODE barometer to measure the innovation compe-tence through the Rasch Measurement Theory. Working Papers on Operations Management. 8(SP):120-124. https://doi.org/10.4995/wpom.v8i0.7190 es_ES
dc.description.accrualMethod SWORD es_ES
dc.relation.publisherversion https://doi.org/10.4995/wpom.v8i0.7190 es_ES
dc.description.upvformatpinicio 120 es_ES
dc.description.upvformatpfin 124 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 8
dc.description.issue SP
dc.identifier.eissn 1989-9068
dc.description.references Aznar Más, L. E., Pérez Peñalver, M. J., Montero Fleta, B., González Ladrón de Guevara, F. R., Marín García, J. A., & Atarés Huerta, L. M. (2016). Indicadores de comportamiento de la competencia de innovación en el ámbito académico y en el profesional: revisión de la literatura. Libro de Actas IN-RED 2016 - II Congreso Nacional de Innovación Educativa y de Docencia en Red. doi:10.4995/inred2016.2016.4389 es_ES
dc.description.references Linacre, J.M. (2002). What do infit and outfit, mean square and standardizez mean?. Rasch measure-ment Transactions, VOl. 16, No. 2, pp.878. es_ES
dc.description.references Linacre, J.M. (2012). Winsterps Rasch measurement computer program. User's Guide. Beaverton, Ore-gon: Winsteps.com. es_ES
dc.description.references Rhemtulla, M., Brosseau-Liard, P. É., & Savalei, V. (2012). When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions. Psychological Methods, 17(3), 354-373. doi:10.1037/a0029315 es_ES
dc.description.references Salzberger, T., & Sinkovics, R. R. (2006). Reconsidering the problem of data equivalence in international marketing research. International Marketing Review, 23(4), 390-417. doi:10.1108/02651330610678976 es_ES


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