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Michael Green 《Education 3-13》2017,45(5):599-612
Over the last decade, a plethora of research has been undertaken into learning outside the classroom and its resultant benefits on pupils [Dillon, J., M. Rickinson, K. Teamey, M. Morris, M. Y. Choi, D. Sanders, and P. Benefield. 2006. “The Value of Outdoor Learning: Evidence from Research in the UK and Elsewhere.” School Science Review 87 (320): 107–111; Peacock, A. 2006. Changing Minds: The Lasting Impact of School Trips. University of Exeter; Malone, K. 2008. Every Experience Matters. Farming and Countryside Education; Waite, S. 2011. Children Learning Outside the Classroom from Birth to Eleven. London: Sage; Beames, S., P. Higgins, and R. Nicol. 2012. Learning Outside the Classroom: Theory Guidelines and Practice. Abingdon: Routledge). Despite this wealth of research very little has been conducted into residential field trips. The research carried out in this study focuses specifically on exploring the residential experience of a group of 10- and 11-year-old children from a junior school in the UK who participated in a one-week residential field trip to Normandy, France, staying in a Chateau and undertaking both cultural and historical activities. The findings reveal what children can gain from participating in such an experience. 相似文献
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Evaluation of Dimensionality in the Assessment of Internal Consistency Reliability: Coefficient Alpha and Omega Coefficients
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In the lead article, Davenport, Davison, Liou, & Love demonstrate the relationship among homogeneity, internal consistency, and coefficient alpha, and also distinguish among them. These distinctions are important because too often coefficient alpha—a reliability coefficient—is interpreted as an index of homogeneity or internal consistency. We argue that factor analysis should be conducted before calculating internal consistency estimates of reliability. If factor analysis indicates the assumptions underlying coefficient alpha are met, then it can be reported as a reliability coefficient. However, to the extent that items are multidimensional, alternative internal consistency reliability coefficients should be computed based on the parameter estimates of the factor model. Assuming a bifactor model evidenced good fit, and the measure was designed to assess a single construct, omega hierarchical—the proportion of variance of the total scores due to the general factor—should be presented. Omega—the proportion of variance of the total scores due to all factors—also should be reported in that it represents a more traditional view of reliability, although it is computed within a factor analytic framework. By presenting both these coefficients and potentially other omega coefficients, the reliability results are less likely to be misinterpreted. 相似文献