Análisis del Inventario Obsesivo-Compulsivo mediante el Modelo de Rasch para Escalas de Calificación

Rosa, Joana Brites

doi:10.14201/gredos.115535

Cited by 1 publication

(1 citation statement)

References 45 publications

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“…The fit statistic is the mean of the residuals, that is, the mean of the difference between the real and the estimated scores by the Rasch model [33,34]. These statistics, which are internal (INFIT) and external (OUTFIT), are expressed as a function of the non-standardized mean square (MSNQ) and the normalized variances of the residuals (ZSTD) [50,51]. The INFIT statistic collects the internal adjustment of the real scores to the model and is sensitive to the unexpected behaviors presented by the scores of those indicators whose difficulty is close to the competitive ability of the country.…”

Section: Fit (Validity) Of the Datamentioning

confidence: 99%

Tourism Competitiveness versus Sustainability: Impact on the World Economic Forum Model Using the Rasch Methodology

Díaz-Padilla,

Travar,

Acosta-Rubio

et al. 2023

Sustainability

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The pandemic changed the strategic business approach of tourist destinations on a global scale. Given this new scenario, there is a need to implement sustainability strategies that are aligned with economic, social, and environmental aspects to continue competing in the international tourism market. Therefore, identifying these strategies, specific to each destination, is a key variable for tourism competitiveness. To help destination managers, this paper aims to measure tourism competitiveness in terms of sustainability. Using the Rasch model, the analysis confirms that the Sustainable Development Goals (SDGs) represent and, thus, measure tourism competitiveness. In addition, the results obtained show that the countries with the highest socioeconomic development are the most competitive tourist destinations, and the most relevant SDGs for tourism competitiveness are related to prosperity and social guarantees.

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Section: Fit (Validity) Of the Datamentioning

confidence: 99%