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Chang, Wen-Hui; Liu, Yuan-Chen; Huang, Tzu-Hua – Journal of Computer Assisted Learning, 2017
The purpose of this study is to develop a multi-dimensional scale to measure students' awareness of key competencies for M-learning and to test its reliability and validity. The Key Competencies of Mobile Learning Scale (KCMLS) was determined via confirmatory factor analysis to have four dimensions: team collaboration, creative thinking, critical…
Descriptors: Test Construction, Multidimensional Scaling, Electronic Learning, Test Reliability
Chen, Sheng-Tung; Kuo, Hsiao-I.; Chen, Chi-Chung – Education Economics, 2012
The two-stage least squares approach together with quantile regression analysis is adopted here to estimate the educational production function. Such a methodology is able to capture the extreme behaviors of the two tails of students' performance and the estimation outcomes have important policy implications. Our empirical study is applied to the…
Descriptors: Foreign Countries, Least Squares Statistics, Regression (Statistics), Parent Background
Huang, Hung-Yu; Wang, Wen-Chung – Educational and Psychological Measurement, 2013
Both testlet design and hierarchical latent traits are fairly common in educational and psychological measurements. This study aimed to develop a new class of higher order testlet response models that consider both local item dependence within testlets and a hierarchy of latent traits. Due to high dimensionality, the authors adopted the Bayesian…
Descriptors: Item Response Theory, Models, Bayesian Statistics, Computation
Lee, Lung-Sheng; Lai, Chun-Chin – Online Submission, 2010
Prospective child care givers need to prepare themselves not only for employment but also for entrepreneurship in the field of child care service. In order to explore the entrepreneurial potential of prospective child care givers, an exploratory survey was conducted to survey 68 senior students of a department of child care in a public…
Descriptors: Child Caregivers, Motivation, Foreign Countries, Child Care