Assessment in higher education (HE) is often focused on concluding modules with one or more tests that students need to pass. As a result, both students and teachers are primarily concerned with the summative function of assessment: information from tests is used to make pass/fail decisions about students. In recent years, increasing attention has been paid to the formative function of assessment and focus has shifted towards how assessment can stimulate learning. However, this also leads to a search for balance between both functions of assessment. Programmatic assessment (PA) is an assessment concept in which their intertwining is embraced to strike a new balance. A growing number of higher education programmes has implemented PA. Although there is consensus about the theoretical principles that form the basis for the design of PA, programmes make various specific design choices based on these principles, fitting with their own context. This paper provides insight into the design choices that programmes make when implementing PA and into the considerations that play a role in making these design choices. Such an overview is important for research purposes because it creates a framework for investigating the effects of different design choices within PA.
The primary aim was to investigate feasibility of a web-based cross-over Paleolithic diet intervention in the general population. The secondary aim was to calculate the sample size needed to reach a statistically significant difference in effect of a Paleolithic-like diet on psychological and somatic symptoms compared with the Dutch consensus diet.
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With summaries in Dutch, Esperanto and English. DOI: 10.4233/uuid:d7132920-346e-47c6-b754-00dc5672b437 "The subject of this study is deformation analysis of the earth's surface (or part of it) and spatial objects on, above or below it. Such analyses are needed in many domains of society. Geodetic deformation analysis uses various types of geodetic measurements to substantiate statements about changes in geometric positions.Professional practice, e.g. in the Netherlands, regularly applies methods for geodetic deformation analysis that have shortcomings, e.g. because the methods apply substandard analysis models or defective testing methods. These shortcomings hamper communication about the results of deformation analyses with the various parties involved. To improve communication solid analysis models and a common language have to be used, which requires standardisation.Operational demands for geodetic deformation analysis are the reason to formulate in this study seven characteristic elements that a solid analysis model needs to possess. Such a model can handle time series of several epochs. It analyses only size and form, not position and orientation of the reference system; and datum points may be under influence of deformation. The geodetic and physical models are combined in one adjustment model. Full use is made of available stochastic information. Statistical testing and computation of minimal detectable deformations is incorporated. Solution methods can handle rank deficient matrices (both model matrix and cofactor matrix). And, finally, a search for the best hypothesis/model is implemented. Because a geodetic deformation analysis model with all seven elements does not exist, this study develops such a model.For effective standardisation geodetic deformation analysis models need: practical key performance indicators; a clear procedure for using the model; and the possibility to graphically visualise the estimated deformations."
