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Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915

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    Cross-Cultural Adaptation and Application of the One-Parameter Item Response Model to the Santa Clara Brief Compassion Scale (SCBCS)
    (Springer Science+Business Media, LLC, part of Springer Nature, 2025-09-22) Adu P; Popoola T; Iqbal N; Roemer A; Collings S; Aspin C; Medvedev ON; Simpson CR; Medvedev ON; Krägeloh CU
    Objectives International research has consistently demonstrated the positive impact of compassion towards others on both physical and mental well-being, with significant implications for mindfulness practice. Based on this evidence, we aimed to adapt the Santa Clara Brief Compassion Scale (SCBCS) into German while simultaneously conducting a cross-cultural validation and enhancing its measurement precision using Rasch methodology across samples from Germany, Ghana, India, and New Zealand. Method We applied the unrestricted Partial Credit Model to analyze data from a randomly selected subsample of 500 participants, drawn from a total convenience sample of 1822 individuals recruited from the general populations of Germany, Ghana, India, and New Zealand. Results Our initial analysis of the SCBCS showed significant misfit to the Rasch model (χ2(30) = 58.48, p < 0.001), which was successfully addressed by testlet creation resulting in satisfactory model fit (χ2(24) = 24.80, p = 0.09). This included strict unidimensionality, strong reliability (Person Separation Index = 0.81), and invariance across personal factors, such as country, educational levels, sex, and age. We then developed an algorithm for transforming ordinal scores to interval-level data to enhance the accuracy of the SCBCS. The scale demonstrated sound divergent and convergent validity. Conclusions Our study has validated both the German and English versions of the SCBCS using Rasch methodology. The precision of measuring compassion towards others using the two versions of the SCBCS can be further enhanced by applying the ordinal-to-interval transformation tables developed in this paper.