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Data Modeling Of Cognitive Structure In Physiotherapy Students Learning Gross Anatomy, William Allan Besselink

Walden Dissertations and Doctoral Studies

Cognitive structures that promote deep learning of gross anatomy are integral to musculoskeletal physiotherapy practice yet poorly understood. This quantitative, criterion-related validation study addressed two data modeling strategies (multidimensional scaling and Pathfinder networks) as a potential visual and quantitative representation of the cognitive structures of physiotherapy students learning gross anatomy. The study was grounded in the Adaptive Control of Thought-Rational theory of cognition. The research questions addressed the agreement (reliability, accuracy, and association) between student and expert cognitive structures and included the derived quantitative parameters as predictor variables in multiple regression to examine potential relationships with unit grades. An online …