Journal Articles

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.
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    A Scoping Review of Attention-Deficit/Hyperactivity Disorder Assessment and Diagnosis: Tools, Practices, and Sex Bias
    (Springer Nature, 2025-08-07) Crocker SL; Roemer A; Strohmaier S; Wang GY; Medvedev ON
    Objectives: Accurately diagnosing attention-deficit/hyperactivity disorder (ADHD) is challenging due to the overlap of symptoms with other mental health conditions. This scoping review evaluated the dependability and accuracy of prevalent diagnostic scales and investigates potential obstacles to ADHD assessment diagnosis including potential sex bias. Method: Following the PRISMA-ScR guidelines, 11 widely used diagnostic scales were identified and included. All scales were evaluated based on their psychometric quality and alignment with DSM-5 diagnostic criteria for ADHD. Results: The Attention Deficit Disorders Evaluation Scale emerged as the most reliable among the 11 scales, with the Symptom Checklist-4 ranking as the least reliable. No single assessment tool was adequate for ADHD diagnosis; additional testing was required for accurate conclusions. The literature revealed sex and age biases in some of the assessments. It was discovered that girls were diagnosed with ADHD less often than boys, yet their likelihood of misdiagnosis was notably lower. Conclusions: This review emphasizes the necessity of comprehensive, multi-method assessment approaches for accurate ADHD diagnosis, as no single tool demonstrated sufficient diagnostic precision. Effective clinical assessment design must incorporate strong psychometric measures, address sex-based diagnostic disparities, and emphasize the importance of evaluating behavioural changes over time and their functional impact across settings.
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    Validation of low-cost air quality monitoring platforms using model-based control charts
    (Elsevier Ltd, 2024-04-01) Boulic M; Phipps R; Wang Y; Vignes M; Adegoke NA
    The SARS COVID-19 pandemic highlighted the importance of routine indoor air quality (IAQ) monitoring. Recent advances in IAQ sensors and remote logging technologies offer opportunities to use low-cost platforms to monitor indoor air. The sensor's accuracy and stability are critical for reliable monitoring and health protection. Data from our low-cost IAQ platform (SKOMOBO) was validated against a commercial platform for carbon dioxide, temperature, and relative humidity measurements to test the reliability of the low-cost instrument. The traditional statistical method to test the variability between two data sets is the coefficient of determination method. We identified that this traditional method did not detect drifts in measurements, when comparing data from two platforms, in a controlled and uncontrolled environment. In our paper, we propose two complementary methods to detect potential drifts in measurements (a modified Shewhart method and a cumulative sum control chart method). The traditional coefficient of determination method indicated strong consistency (between 0.70 and 0.99) in the measurements between SKOMOBO and the reference platforms for both tested environments. Our more sensitive methods detected 100 % data matching for the controlled environment between the SKOMOBO and the reference platform but detected some drifts for the uncontrolled environment (between 81 % and 100 % data matching). It was expected that the uncontrolled environment would create more drifts in measurements than the controlled environment. Our new statistical methods achieved two important results; namely it advanced the validation process and proved the reliability of our low-cost platform for IAQ monitoring and assurance.
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    Recent Developments in the Assessment of Nutrition Knowledge in Athletes
    (Springer Science+Business Media, LLC, 2022-06) Tam R; Gifford JA; Beck KL
    Purpose of Review Adequate nutrition knowledge may influence dietary behaviour, and the performance and health of athletes. Assessment of the nutrition knowledge of athletes can inform practice and provide a quantitative way to evaluate education interventions. This article aims to review nutrition knowledge questionnaires published in the last 5 years to identify advances, possible improvements in questionnaire development and design, and challenges that remain. Recent Findings Twelve new or modified questionnaires were identified. All had undergone validity and reliability testing. Advancements included quantitative measures of content validity and Rasch analysis. Online questionnaires were common, with at least seven using this format. Advances included use of images (n=2), automated scored feedback (n=1), and use of applied questions. Summary While advancements have been made in validation and reliability testing and electronic delivery, new questionnaires would benefit from interactive and attractive features including images, provision of electronic feedback, and applied questions.