Educational and psychological tests are often composed of multiple short subtests, each measuring a distinct latent trait. Unfortunately, short subtests suffer from low measurement precision, which makes the bandwidth—fidelity dilemma inevitable. In this study, the authors demonstrate how a multidimensional Rasch analysis can be employed to take into account the information about the correlation between latent traits such that the precision of each subtest measure can be improved and the correlation between latent traits can be accurately estimated. A real data set of the 13-scale Thinking Styles Inventory was analyzed with the traditional unidimensional approach and the multidimensional approach. The results demonstrate that in contrast to the unidimensional approach, the multidimensional approach yields a much higher level of measurement precision and a more appropriate estimate for the correlation between thinking styles. In conclusion, even short subtests can yield highly precise measures such that the bandwidth—fidelity dilemma is resolved.
The purpose of this paper is to study the influences of technological, organizational and environmental factors on the adoption of RFID technology for logistics service providers in China. While the growth of China's economy hinges to a large extent on the ability of the logistics industry to operate more efficiently and effectively in the global supply chain system, China's logistics companies should pay attention to adopt more efficient logistics technologies to provide better services for their customers. The data to study the factors affecting the adoption of RFID technology came from a questionnaire survey of logistics service providers in China, and 574 logistics companies were analyzed. According to the survey results, about fifty percents of logistics companies are interested in RFID technology, but less than ten percents have the experiences of using RFID technology. Explicitness and accumulation of technology, organizational encouragement for innovation, quality of human resources, and governmental support exhibit significant influences on the willingness to adopt RFID technology.
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