Ziang Chen, Yuxi Ou, Fangdie Ye, Weijian Li, Haowen Jiang, Shenghua Liu
Machine learning identifies the role of SMAD6 in the prognosis and drug susceptibility in bladder cancer
Journal of cancer research and clinical oncology
paper describes development multidimensional selfreport measure interoceptive body awareness systematic mixedmethods process involved reviewing current literature specifying multidimensional conceptual framework evaluating prior instruments developing items analyzing focus group responses scale items instructors patients body awarenessenhancing therapies following refinement cognitive testing items fieldtested students instructors mindbody approaches final item selection achieved submitting field test data iterative process using multiple validation methods including exploratory cluster confirmatory factor analyses comparison known groups correlations established measures related constructs resulting 32item multidimensional instrument assesses eight concepts psychometric properties final scales suggest multidimensional assessment interoceptive awareness maia may serve starting point research collaborative refinement