Psychometric Evaluation of the Parentification Inventory–Swahili Version With Kenyan Adults: Factor Structure,Reliability, and Validity

The immediate concerns and aftereffects of parentification in the United States are well documented. However, the correlates of parentification in international communities are less known. This psychometric study explored the validity of a Swahili version of the Parentification Inventory (PI; Hooper, 2009) with a sample of 279 Kenyan adults. Factor analysis produced a 3-factor structure, but with fewer items (N = 17) than in the original PI (N = 22). Recommendations for using the PI–Swahili Version are discussed. Las preocupaciones inmediatas y las secuelas de la parentificación en los Estados Unidos están bien documentadas. Sin embargo, las correlaciones de la parentificación en comunidades internacionales son menos conocidas. Este estudio psicométrico exploró la validez de una versión en suajili del Inventario de Parentificación (PI, por sus siglas en inglés; Hooper, 2009) en una muestra de 279 kenianos adultos. El análisis factorial produjo una estructura de 3 factores, pero con menos elementos (N = 17) que en el PI original (N = 22). Se discuten recomendaciones para el uso de la versión en suajili del PI.     

Brain MR kurtosis imaging study: Contrasting gray and white matter

This paper mainly focuses on characterization of different brain tissues such as White and Gray matter (WM and GM) using the relation between Diffusion Tensor Imaging and Diffusion Kurtosis Imaging parameters. Both Diffusion Tensor Imaging and Diffusion Kurtosis Imaging are the extension of Diffusion Weighted Imaging, which are widely applied for analysing micro fibre structure of human organs non-invasively. Diffusion Tensor Imaging assumes that the water diffusion is in Gaussian nature and Diffusion Kurtosis Imaging accounts the deviation of the Gaussian nature. This study, conducted a correlation and regression analysis between different parametric maps generated from Diffusion Kurtosis Images. For this we have chosen 200 regions of interest pixels drawn from brain MRIs. From the results, it is observed that there is a significant variation in the correlation results between Axial Diffusion and Kurtosis Fractional Anisotropy maps of Gray matter and White matter tissues. This can be employed for enhancing accuracy in MRI segmentation techniques and also as a potential tool for Neuro degenerative disease detection.