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Direct linkMeyer, Katrina A.; Xu, Yonghong Jade – Internet and Higher Education, 2007
This study answered questions about which faculty come to use technology in their teaching and used a novel statistical analysis to develop a model that captures the primary factors influencing faculty technology use. It used a sample of 16,914 faculty within the 2004 National Study of Postsecondary Faculty to explore explanations for faculty…
Descriptors: Classification, Educational Technology, Bayesian Statistics, College Faculty
Peer reviewedBosworth, K.; Gingiss, P. M.; Potthoff, S.; Roberts-Gray, C. – Evaluation and Program Planning, 1999
Describes the development and testing of a model to help schools assess their likelihood of successfully implementing health education innovations. Illustrates the model, developed using an integrative group-process technique that captures experts' qualitative and quantitative judgments as a subjective Bayesian probability model, with 100…
Descriptors: Ancillary School Services, Bayesian Statistics, Elementary Secondary Education, Health Education
