The purpose of this study was to establish the longitudinal factorial construct validity of the Quality of School Life (QSL) scale, which was initially designed to measure the well-being of students in Australian high schools. The items comprising the scale were based on theoretical models and existing measurement instruments concerning the domains of schooling and the quality of life experienced by adults. Three latent structure models, two reported earlier in the literature and one new in this context, were reviewed and their merits compared on the basis of two sets of empirical data comprising, respectively, 5932 secondary students in the 1993 cohort and 8269 secondary students in the 1999 cohort using confirmatory factor analysis procedures. Results indicate that there is strong evidence in support of the factorial construct validity of the Quality of School Life scale.
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Front Psychol
January 2025
Faculty of Psychology, SWPS University, Wroclaw, Poland.
In five studies, we document the development and validation of the Non-verbal Communication Questionnaire (NVCQ). This eight-item measurement tool assesses how people perceive non-verbal cues across two dimensions of effective communication. These two dimensions, encouraging and discouraging non-verbal cues, are based on Khan and Zeb's (2021) version of the 10-part model of non-verbal communication.
View Article and Find Full Text PDFACS Omega
January 2025
Laboratory of Carbon and Ceramic Materials (LMC), Department of Physics, Center of Exact Sciences, Federal University of Espírito Santo, Vitória 29075-910, Espírito Santo, Brazil.
This work presents an optimization of the construction, treatment, and activation of 3D-printed electrochemical sensors (E-3D). For this, was used a 2-full factorial design examining three key variables at two levels: electrode height, electrode diameter, and printing speed. Moreover, it evaluates various physical, chemical, and electrochemical methods to treat and activate the E-3D surface.
View Article and Find Full Text PDFJ Ren Care
March 2025
Faculty of Sciences Semlalia, Laboratory of Pharmacology, Neurobiology, Anthropobiology and Environment, Cadi Ayyad University, Marrakech, Morocco.
Background: Arteriovenous fistula self-care behaviours in patients receiving haemodialysis are essential to maintain patency of vascular access and prevent its life-threatening complications. Assessing arteriovenous fistula self-care behaviours in patients receiving haemodialysis requires a reliable and valid tool.
Objective: The aim of this study was to adapt and translate the Portuguese scale for the assessment of self-care behaviours of arteriovenous fistula in patients receiving haemodialysis into the Moroccan dialect and evaluate its psychometric properties in the Moroccan context.
Narra J
December 2024
Curtin School of Allied Health, Faculty of Health Sciences, Curtin University, Perth, Australia.
Research focus has transitioned from interprofessional collaborative practice among qualified health practitioners to the involvement of pre-qualifying students in practicing interprofessional education. It is essential to establish outcome measures to enhance the seamless integration of interprofessional education and collaborative practice. The aim of this study was to develop a culturally appropriate quality measure for assessing interprofessional education and collaborative practice for health practitioners and students in Indonesia by performing cross-cultural validation of the collaborative practice assessment tool (CPAT).
View Article and Find Full Text PDFZhongguo Zhong Yao Za Zhi
December 2024
Key Laboratory of Modern Preparation of TCM, Ministry of Education, Jiangxi University of Chinese Medicine Nanchang 330004, China.
Identification of critical material attributes(CMAs) is a key issue in the quality control of large-scale TCM products like Jianwei Xiaoshi Tablets. This study focuses on the granules of Jianwei Xiaoshi Tablets, using tablet tensile strength as the primary quality attribute. A method for identifying the CMAs and a design space for the granules were established, along with a predictive model for the granule CMAs based on Fourier transform near-infrared spectroscopy(FT-NIR).
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